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-110089 Contact person: Mr. Yash Sharma, Software Engineer, Hackveda Contact phone: 011-27297608, +91-9654825370, +91-9891799066 Registration link: http://www.hackveda.in/register.html 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
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
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
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 http://www.hackveda.in/register.html 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: 55142333064
Bank Name: State Bank of Patiala Branch: Pitampura IFS Code: stbp0000403 Optional Pre-requisites Laptop, 4GB+ Pendrive Training Centres Hackveda - H-3/60, III Floor, Sector-18, Rohini, Delhi - 110089 VMDD Technologies - 220-A, First Floor, Rama Market, Pitampura, Delhi - 110034