Mastering Apache Sqoop with Hadoop Hive MySQL Hortonworks Data Platform

About this Course:

Why Apache Sqoop

Apache SQOOP is designed to import data from relational databases such as Oracle MySQL etc to Hadoop systems. Hadoop is ideal for batch processing of huge amounts of data. It is industry standard nowadays. In real world scenarios using SQOOP you can transfer the data from relational tables into Hadoop and then leverage the parallel processing capabilities of Hadoop to process huge amounts of data and generate meaningful data insights. The results of Hadoop processing can again be stored back to relational tables using SQOOP export functionality.

About This Course:

In this course you will learn step by step everything that you need to know about Apache Sqoop and how to integrate it within Hadoop ecosystem. With every concept explained with real world like examples you will learn how to create Data Pipelines to move in or out the data from Hadoop. In this course you will learn following major concepts in great details:

Apache Sqoop - Import Topics - Mysql To Hadoop Or Hive:

• Warehouse hadoop storage
• Specific target on hadoop storage
• Controlling parallelism
• Overwriting existing data
• Append data
• Load specific columns from MySQL table
• Control data splitting logic
• Default to single mapper when needed
• Sqoop Option files
• Debugging Sqoop Operations
• Importing data in various file formats - TEXT SEQUENCE AVRO PARQUET and ORC
• Data compression while importing
• Custom query execution
• Handling null strings and non-string values
• Setting delimiters for imported data files
• Setting escaped characters
• Incremental loading of data
• Write directly to hive table
• Using HCATALOG parameters
• Importing all tables from MySQL database
• Importing entire MySQL database into Hive database

Apache Sqoop - Export Topics - Hadoop or Hive to MySQL:

• Move data from Hadoop to MySQL table
• Move specific columns from Hadoop to MySQL table
• Avoid partial export issues
• Update Operation while exporting

Apache Sqoop - Jobs Topics - Automation:

• Create sqoop job
• List existing sqoop jobs
• Check metadata about sqoop jobs
• Execute sqoop job
• Delete sqoop job
• Enable password storage for easy execution in production

What You Will Achieve After Completing This Course:

After completing this course you will cover one of the topic that is heavily asked in below certifications. You will need to take other lessons as well to fully prepare for the test. We will be launching other courses soon.

• CCA Spark and Hadoop Developer Exam - CCA175
• Hortonworks Data Platform - HDP - Certified Developer Exam - HDPCD

Who Are Your Instructors

This course is taught by professionals with extensive experience in handling big data applications for Fortune 100 companies of the world. They have managed to create data pipelines for extracting transforming and processing over 100s of Terabytes of data in a day for their clients providing data analytics for user services. After successful launch of their course - Complete ElasticSearch with LogStash Hive Pig MR and Kibana same team has brought to you a complete course on learning Apache Sqoop with Hadoop Hive MySQL.

You will also get step by step instructions for installing all required tools and components on your machine in order to run all examples provided in this course. Each video will explain entire process in detail and easy to understand manner.

You will get access to working code for you to play with it and expand on it. All code examples are working and will be demonstrated in video lessons.

Windows users will need to install virtual machine on their device to setup single node hadoop cluster while MacBook or Linux users can directly install hadoop and sqoop components on their machines. The step by step process is illustrated within course.

Basic knowledge:

• The Complete Course on Apache SQOOP. Great for CCA175 Spark and Hortonworks Big Data Hadoop Developer Certifications.

Course Completion Certificate

What you will learn:

• You will get following from this course:

• Get Ready for CCA Spark and Hadoop Developer Exam (CCA175)

• Get Ready for Hortonworks Data Platform (HDP) Certified Developer Exam (HDPCD)
• Advance your career by applying for high paying Big Data jobs
• Crack Big Data Developer Interviews
• Develop sound understanding about Data Ingestion process from Relational System (MySQL) to Hadoop ecosystem and vice versa

Curriculum:

• Introduction
• Apache SQOOP in a nutshell
• Environment Setup
• Apache SQOOP - IMPORT
• Apache SQOOP - EXPORT
• Apache SQOOP - JOBS
• Conclusion

Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.

Why Simpliv

With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.

Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.