Data lakes are based on a simple idea: You can store and analyze massive amounts of raw data at scale. But why data lakes? Here are five reasons why IT leaders are excited about this idea: Unfortunately, lots of companies end up with a data swamp instead of a data

The concept of data ingestion has existed for quite some time, but remains a challenge for many enterprises trying to get necessary data in and out of various dependent systems. The challenge becomes even more unique when looking to ingest data in and out of Hadoop. Hadoop ingestion requires processing