1. Big Data Hadoop Developer Live Demo - Trainer Ratikant

    57:24

    from ZaranTech Added 9 0 0

    Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) Email - ilyas@zarantech.com Live & Video Training Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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    • State of the Hadoop Market

      03:22

      from ESG Video Added 63 0 0

      In this ESG Video Blog, ESG Founder and Senior Analyst Steve Duplessie discusses the current and future state of the Hadoop market.

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      • Hadoop Developer - Session 2 (Trainer Ratikant)

        01:54:06

        from ZaranTech Added 58 0 0

        Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) Email - ilyas@zarantech.com Live & Video Training Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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        • Hadoop Developer - Session 1 (Ratikant)

          01:56:19

          from ZaranTech Added 58 0 0

          Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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          • Big Data Hadoop Developer Introductory Session- Trainer Ratikant

            01:40:20

            from ZaranTech Added 49 0 0

            Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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            • Big Data Hadoop Developer Live Demo - Trainer Ratikant

              01:06:18

              from ZaranTech Added 79 0 0

              Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) Email - ilyas@zarantech.com Live & Video Training Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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              • Hadoop Developer Online Training FREE Live Webinar by trainer Venkat-20150503

                46:04

                from ZaranTech Added 10 0 0

                Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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                • Big Data HADOOP Developer Online Training by Venkat - Session 2-20150411 0103-1

                  01:36:06

                  from ZaranTech Added 45 0 0

                  Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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                  • Big Data HADOOP Developer - Session 1 (Trainer Venkat)

                    54:15

                    from ZaranTech Added 40 0 0

                    Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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                    • Big Data HADOOP Developer Online - Introductory Session (Trainer Venkat)

                      58:07

                      from ZaranTech Added 27 0 0

                      Big Data HADOOP Developer Training & Certification provided Online from USA industry expert trainers with real time project experience. Contact: 515-978-9788 (or) ilyas@zarantech.com Live & Video Course: Click here, http://www.zarantech.com/course-list/hadoop/ =============================================== Course Duration: 30-35 hours Live Training + Assignments + Actual Project Based Case Studies =============================================== BASIC HADOOP 1. Introduction and Overview of Hadoop 2. Hadoop Distributed FileSystem (HDFS) 3. HBase -- The Hadoop Database 4. Map/Reduce 2.0/YARN 5. MapReduce Workflows 6. Pig 7. Hive 8. Putting it all together ADVANCED HADOOP 1. Integrating Hadoop Into The Workflow 2. Delving Deeper Into The Hadoop API 3. Common Map Reduce Algorithms 4. Using Hive and Pig 5. Practical Development Tips and Techniques 6. More Advanced Map Reduce Programming 7. Joining Data Sets in Map Reduce 8. Graph Manipulation in Hadoop 9. Creating Workflows With Oozie 10. HANDS ON EXCERCISE =================================== Objective: The participants will learn the Installation of Hadoop Cluster, understand the basic and advanced concepts of Map Reduce and the best practices for Apache Hadoop Development as experienced by the developers and architects of core Apache Hadoop. They will also learn the following during the duration of the course 1. Hadoop Ecosystem 2. Best programming practices for Map Reduce 3. System administration issues with other Hadoop projects such as Hive, Pig, and Scoop 4. Configuration Map Reduce environment with Eclipse IDE 5. Advanced Map Reduce Algorithms and techniques 6. Pig and HIVE Introduction Note: The course will be have 40% of theoretical discussion and 60% of actual hands on =================================== Take Away from this Course: 1. Understanding of What and Why of Hadoop with its Eco-System Components. 2. Ability to write Map Reduce programs in a given scenario 3. Ability to correctly architect and implement the Best Practices in Hadoop Development 4. Ability to Manage and Monitor Hadoop 5. Ability to Manage the different Hadoop Components when talking to each other. =================================== Audience: This course is designed for anyone who is 1. Wanting to architect a project using Hadoop and its Eco System components. 2. Wanting to develop Map Reduce programs 3. A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage. =================================== Pre-Requisites: 1. The participants should have at least basic knowledge of Java. 2. Any experience of Linux environment will be very helpful. =================================== About the Trainer: 1. 14 years of experience in consulting / training and mentoring participants on the design, infrastructure, integration aspects in the training. 2. Have trained more than 5,000 participants in the areas of Java, J2EE, Android and BPM and always looking forward to share his knowledge in the IT domain with anyone. 3. Have extensively travelled and mentioned participants in different organizations in countries like RBC [Luxemburg], Motorola [Germany],PayPal [Dublin],GVT [Brazil], Virtusa [Sri Lanka], Damac [Dubai], Rogers Telecom [Canada],D&B, HBO, Micron, EMC, e-Rewards, Maximus [USA]. 4. Have assisted and providing consulting to ADP, Diebold, Level 3 Communications, e- Rewards, South West Airlines and other Corporates on their Process Requirements in the areas of BPM. 5. Have been on the Code Review Panel for multiple organizations for their product development efforts and have brain stormed multiple new ideas which have turned into reality. 6. Was a part of the Core Initial Team for exploring HD Insight [Hadoop on Windows] for Microsoft India Development Center and have mentored multiple batches of Developers, Project Managers and Development Testers. 7. Have mentored participants in J P Morgan, TCS, HCL, Accenture in H1adoop and its eco-system components like Hike, Hbase, Pig and Sqoop. Have also been involved in assisting the organizations in setting up their initial Hadoop team. =================================== Checkout what our past trainees are saying: Recommendations on Facebook - Click here, http://www.facebook.com/ZaranTechLLC Testimonials on our website -- Click here, http://www.zarantech.com/testimonials =================================== Refer your friends to ZaranTech for their Training & consulting needs and Reward yourself with benefits, http://www.zarantech.com/be-a-friend-tell-a-friend ==================================== What is Instructor led LIVE training? - See this Video for more info, http://www.youtube.com/watch?v=G908QvF-gVA What is Instructor led VIDEO training? - See this Video for more info, http://www.youtube.com/watch?v=WmWqzGFPqck

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