Apache SQOOP for Big Data Hadoop Beginners

Introductory course on Apache Sqoop Architecture & Sqoop Import process for beginners
Instructed by: DataShark Academy | Subject: IT & Software, IT Certification

Description

Apache Sqoop architecture 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. This is an introductory course. You can find much more detailed course - Mastering Apache SQOOP with Hadoop,Hive, MySQL (Mac & Win) from DataShark Academy (under instructor profile). Big data analytics start with data ingestion and thats where apache sqoop comes in picture. It is the first step in getting the data ready.

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Course Info

• 21 Lectures
• 1 Hours
• Language: English
• Subject: IT & Software, IT Certification
• Instructed by: DataShark Academy
• Platform: Udemy