Best Big Data Live Course !!
Learn from A B C D level and master the technology !!
15 July 2021
31 July 2021
College Students and All IT Professionals
World is generating enmoromus amount of data every second .. think about sensers .. Digital content ..
Relational Databases has constraining in terms of Amount of data that can be stored and processes using them ..
And they have specific Use case
Learn what is Big Data and Why it is important for every data professional working / aspire to be , in IT
This is an 1.5 month program that will help you earn hands-on industry experience.
We want our Partiticipants to start their journey with the latest software available so that they can keep
Our Participants will be trained with hands-on experience with the Cloudera Virtual Machine !!!
Learn from the Person who can help you get real life experience ,
Rahul has 21 years of IT experince and has worked with Biggest MNC companies like - Oracle and Accenture !!
We believe in “less talk and more action”. This course goes beyond just the textbooks and we help
Assignments for every topic to keep you on check !!
Get started with Installation of Cloudera VM
Min System requirement - 8 GB or above RAM
Before you start learning about Big data file system , it is important to learn about how to work on Linux File System
Start with learning and building foundataion of Big data basics ..
- What is Hadoop
- Hadoop File System
- What is Hadoop 1.0 and 2.0
- Deleting files and Directory in Hadoop File System
- Copying files and Directories in Hadoop File Systlem
- Understanding Blocks in Hadoop File System
- Understanding Replication Factor in Hadoop File System
- Understanding MapReduce
Learn in-depth understanding about Sqoop - Theory and Practical
- Comprehensive Sqoop
- Understanding Sqoop Import
- Transfering an Entire Table
- Importing only a Subset of Data
- Specifying a Target Directory
- Protecting Your Password
- Using a file format other than CSV
- Compressing Imported Data
- Speeding up transfers
- Overriding Type mapping
- Controlling Parallelism
- Encoding NULL values
- Importing all your tables
- Incremental Import
- Importing only new data
- Incrementally importing mutable data
- Preserving the last imported value
- Storing passwords in the metastore
- Overriding the arguments to a saved job
- Free-form Query import
- Importing data from two tables
- Using custom boundary queries
- Importing queries with duplicated columns
- Renaming Sqoop Export Copy
- Understanding Sqoop Export Copy
- Transfering data from Hadoop
- Inserting data in batches
- Exporting with All-or-Nothing Semantics
- Updating an Existing data set
- Updating or inserting at the same time
- Exporting into a Subset of Columns
- Encoding the NULL value differently
- Understanding Sqoop Jobs
- Module Assignment Sqoop
Learn how to cerate Table in Hadoop File system and how to work with Sql like enviornment in Big Data
- What is Hive
- OTLP Vs OLAP System
- Hive Architecture
- Creating tables using Hives
- Working with Hive, Hue, Beeline
- Hive partitions and Bucketing concepts
- In-depth Hive practical's
- Hive partitions
- Hive Bucketing
- Sorting the Data Hive
- Module assignment Hive
2 Projects will be given at the end of the course to get you reality check !!
Connect with us
rahuljainbhopal86
@gmail.com
76498 95509
Opening hours
Mon - Fri : 8AM - 6PM
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