Big Data Training - Hackveda

Transcription

1 Big Data Training - Hackveda Become a Hackveda Certified Big Data Professional - (Beginner) Skill level: Beginner Training fee: INR 9000 only (Topics covered: 108) Chief Trainer: Mr. Devanshu Shukla Training Duration: 18 days (2/3 hrs per day) Practice Duration (Optional): 18 days (6 hrs per day) Query Membership: 01 year (Online / Offline) Spoken Language: English / Hindi Venue: Hackveda, H-3/60, III Floor, Sector-18, Rohini, Delhi Contact person: Mr. Yash Sharma, Software Engineer, Hackveda Contact phone: , , Registration link: Support Available: Training session video will be recorded and delivered to students for any time practice Join the training at Hackveda 'TODAY'! Course contents Big Data: Introduction Big Data: MapReduce Big Data: Introducing Big Data Big Data: The Biggest Wave Yet

2 Big Data: Emerging Technologies Big Data: Defining Big Data Big Data: Key Terms for Data Big Data: Sizing Big Data Big Data: The Original Key Contributors Big Data: The Distro Companies Big Data: Apache Software Foundation Big Data: Apache Projects Big Data: Other Apache Projects Big Data: Other Open Source Projects Big Data: The Big Data Stack Big Data: Big Data Components Big Data: NoSQL Databases Big Data: Distributed Computing Big Data: Design Principles of Hadoop Big Data: Functional View of Hadoop Big Data: HDFS in Action Big Data: YARN in Action Big Data: MapReduce in Action Big Data: Spark in Action Big Data: Data Center Teams Big Data: Business Team Members Big Data: Analytics Team Members Big Data: Data Solutions Team Members Big Data: Cluster Team Members Big Data: Big Data Impacting IT Big Data: DIY Supercomputing Big Data: Hadoop in the Clouds Big Data: Big Data and Data Warehouses Big Data: Business Case for Big Data Big Data: Big Data and RDBMs Big Data: Data Center Projects Big Data: Data Analytics Big Data: Big Data Engines Big Data: Analytics Use Cases Big Data: Big Data Impacting the Globe Big Data: Global Increasing Digital Volume

3 Big Data: The Big Companies Big Data: Big Data Opportunity Big Data: Big Data Challenges Big Data: Challenges of Security and Privacy Big Data: Planning for Big Data Big Data: Big Data Impacting Business Hadoop and MapReduce: Basics of Hadoop Hadoop and MapReduce: Users of Hadoop Hadoop and MapReduce: The Four Vs of Big Data Hadoop and MapReduce: Sources of Big Data Hadoop and MapReduce: Clustering Hadoop and MapReduce: Introduction to Server Farms Hadoop and MapReduce: Hadoop Installation Considerations Hadoop and MapReduce: Testing your Hadoop Installation Hadoop and MapReduce: Your First Hadoop Cluster Hadoop and MapReduce: Hadoop Distributions Hadoop and MapReduce: Hadoop Ecosystem Hadoop and MapReduce: The Role of YARN Hadoop and MapReduce: Overview of Hadoop, Storage, MapReduce, Pig, and Hive Hadoop and MapReduce: Understanding Data Hadoop and MapReduce: Basics of Hadoop Hadoop and MapReduce: Users of Hadoop Hadoop and MapReduce: The Four Vs of Big Data Hadoop and MapReduce: Sources of Big Data Hadoop and MapReduce: Clustering Hadoop and MapReduce: Introduction to Server Farms Hadoop and MapReduce: Hadoop Installation Considerations Hadoop and MapReduce: Testing your Hadoop Installation Hadoop and MapReduce: Your First Hadoop Cluster Hadoop and MapReduce: Hadoop Distributions Hadoop and MapReduce: Hadoop Ecosystem Hadoop and MapReduce: The Role of YARN Hadoop and MapReduce: Overview of Hadoop, Storage, MapReduce, Pig, and Hive Hadoop and MapReduce: Understanding Data Hadoop and MapReduce: Types of NoSQL Databases Hadoop and MapReduce: Introduction to the Hadoop Distributed File System Hadoop and MapReduce: Interacting with the HDFS Hadoop and MapReduce: File Operations within the HDFS

4 Hadoop and MapReduce: The MapReduce Principles, Mappers, and Reducers Hadoop and MapReduce: Using MapReduce with Pig and Hive Hadoop and MapReduce: Introduction to the MapReduce Life Cycle Hadoop and MapReduce: Understanding the MapReduce Data Flow Hadoop and MapReduce: Subdividing Data Hadoop and MapReduce: Creating Job Components Hadoop and MapReduce: Understanding MapReduce with a Conceptual Example Hadoop and MapReduce: Hadoop MapReduce and Java Hadoop and MapReduce: Executing Hadoop MapReduce Jobs Hadoop and MapReduce: Job Flow Progress and Monitoring Hadoop and MapReduce: Chaining MapReduce Jobs Hadoop and MapReduce: Executing Commands Hadoop and MapReduce: How Data is Processed, Persisted, and Read on the HDFS Hadoop and MapReduce: Understanding Persistence and Types of Big Data Hadoop and MapReduce: Using HiveQL to Write Queries Hadoop and MapReduce: Understanding Hive File Formats Hadoop and MapReduce: Working with Custom Hive Data Types Hadoop and MapReduce: Using Pig Latin to Communicate with Hadoop Hadoop and MapReduce: Writing Pig Scripts Hadoop and MapReduce: Loading and Storing Data in Pig Hadoop and MapReduce - Comparing Performance: MapReduce, Hive, and Pig Hadoop and MapReduce: Understanding High-Level Processing Hadoop and MapReduce: Viewing Job Status and Log Files Hadoop and MapReduce: Killing MapReduce Jobs Hadoop and MapReduce: Using JUnit Hadoop and MapReduce: Introduction to MRUnit Hadoop and MapReduce: Using a Mini MapReduce and HDFS Cluster Hadoop and MapReduce: Using the Hadoop LocalJobRunner How to Join 1.) Register your name online at 2.) Deposit your training fee via Bank deposit or At Training Centre 3.) Collect your training kit from centre during registration Bank Details Name: Devanshu Shukla Account Number:

5 Bank Name: State Bank of Patiala Branch: Pitampura IFS Code: stbp Optional Pre-requisites Laptop, 4GB+ Pendrive Training Centres Hackveda - H-3/60, III Floor, Sector-18, Rohini, Delhi VMDD Technologies A, First Floor, Rama Market, Pitampura, Delhi