Import data to HDFS, HBase and Hive from a variety of sources, including Twitter and MySQL
- Use Flume to ingest data to HDFS and HBase
- Use Sqoop to import data from MySQL to HDFS and Hive
- Ingest data from a variety of sources including HTTP, Twitter and MySQL
- Knowledge of HDFS is a prerequisite for the course
- HBase and Hive examples assume basic understanding of HBase and Hive shells
- HDFS is required to run most of the examples, so you’ll need to have a working installation of HDFS
Who is this course intended for?
Engineers who want to port data from legacy data stores to HDFS
Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years working in tech, in the Bay Area, New York, Singapore and Bangalore.
Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft
Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too
We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Learnsector!
We hope you will try our offerings and think you’ll like them 🙂
|Why do we need Flume and Sqoop?|
|Why do we need Flume and Sqoop?||00:00:00|
|Flume Agent – the basic unit of Flume||00:00:00|
|Example 1 : Spool to Logger||00:00:00|
|Flume Events are how data is transported||00:00:00|
|Example 2 : Spool to HDFS||00:00:00|
|Example 3: HTTP to HDFS||00:00:00|
|Example 4: HTTP to HDFS with Event Bucketing||00:00:00|
|Example 5: Spool to HBase||00:00:00|
|Example 6: Using multiple sinks and Channel selectors||00:00:00|
|Example 7: Twitter Source with Interceptors||00:00:00|
|[For Linux/Mac OS Shell Newbies] Path and other Environment Variables||00:00:00|
|Example 8: Sqoop Import from MySQL to HDFS||00:00:00|
|Example 9: Sqoop Import from MySQL to Hive||00:00:00|
|Example 10: Incremental Imports using Sqoop Jobs||00:00:00|
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