Top 10 most popular false belief about Hadoop
Hadoop and Big Data are practically synonymous these days.
There is so much info on Hadoop and Big Data out there, but as the Big Data
hype machine gears up, there's a lot of confusion about where Hadoop actually
fits into the overall Big Data landscape. Let’s have a look at some of the
popular myths about Hadoop.
false belief #1: Hadoop is a database
Hadoop is often talked about like it's a database, but it
isn't. Hadoop is primarily a distributed file system and doesn’t contain
database features like query optimization, indexing and random access to data.
However, Hadoop can be used to build a database system.
false belief #2: Hadoop is a complete, single product
It's not. This is the biggest myth of all! Hadoop consists
of multiple open source products like HDFS (Hadoop Distributed File System),
MapReduce, PIG, Hive, HBase, Ambari, Mahout, Flume and HCatalog. Basically,
Hadoop is an ecosystem -- a family of open source products and technologies
overseen by the Apache Software Foundation (ASF).
