With your data now in HDFS in an “analytic-ready” format (it’s all cleaned and in common formats), you can now put a Hive table on top of it.
Apache Hive is a RDBMS-like layer for data in HDFS that allows you to run batch or ad-hoc queries in a SQL-like language. This post will go over what you need to know about Apache Hive in preparation for the HDPCD Exam. Continue reading
So after getting data into HDFS, it’s often not pretty. At the very least, it’s a little disorganized, sparse, and in generally not ready for analytics. It’s a Certified Developer’s job to clean it up a little.
That’s where Apache Pig can come in handy! This post will cover the basics in transforming data in HDFS using Apache Pig for preparation of the HDPCD Exam. Continue reading
In order to do big data, you need… DATA. No surprise there! Hadoop is a different beast than other environments and getting data into HDFS can be a bit intimidating if you’re not familiar. If only there were good documentation about these tasks…
Luckily there is good documentation! This post will cover the basics involved in ingesting data into a Hadoop cluster using the HDPCD Exam study guide. Continue reading
The Big Data industry has a problem: what makes a Hadoop Developer? Is it someone who has general knowledge about the many tools available in a typical Hadoop ecosystem? Or is it someone who regularly commits to the Apache projects and pushes Hadoop to new levels? I think it’s somewhere in the middle of both. Continue reading