1Hadoop Will Be Used More in Real-Time Applications
2Revenue-Generating Uses Overtaking Cost-Saving Applications
3Hadoop Pulls Away From Other Big Data Analytics Alternatives
Hadoop will distance itself from MongoDB, Cassandra, Couchbase and the numerous NoSQL options to become the safe choice. In stark contrast to the fractured and niche-oriented nature of the alternatives, Hadoop offers a uniform approach to a broad set of APIs for big data analytics (including MapReduce, query languages and database access, with easy integration of leading analytic and search platforms) along with an expanding ecosystem to deliver a wide range of services.
4Hadoop Expertise Growing Rapidly, but Talent Shortage Remains
The need for data scientists and operations personnel is growing fast, but it is not yet keeping up with the demand. A quick look at sites such as Dice.com, Monster, Glassdoor, Careerbuilder and others show a high number of data-scientist-type jobs open. Indeed.com noted that every year since 2008, the need for Hadoop administrators has eclipsed similar jobs by a very high percentage.
5SQL-based Tools for Hadoop Will Continue to Expand
6HBase Will Become a Popular Platform for Blob Stores
One application that is particularly well-suited for HBase is binary large objects (BLOB) stores. HBase is Hadoop’s open-source, nonrelational, distributed database modeled after Google’s BigTable and written in Java. These BLOBs require large databases with rapid retrieval. BLOBs typically are images, audio clips or other multimedia objects, and storing BLOBs in a database enables a variety of innovative applications. One example is a digital wallet—which enables users to upload their credit card images, checks and receipts for online processing; the technology eases banking, purchasing and lost-wallet recovery.
7Hardware Will Become Optimized for Hadoop
8HBase Will Emerge as an Attractive Platform for Lightweight OLTP
HBase is a large-scale, distributed database built on top of the Hadoop Distributed File System (HDFS). Facebook Messages, which combines messages, chat and email into a real-time conversation, is the first application in Facebook to use HBase in production. As a result, we will see more Hadoop deployments involved in lightweight online transaction processing (OLTP).
9Organizations Expand Applications on Hadoop Clusters
10Hadoop’s Future Is in the Clouds
Hadoop will become one of the killer apps for cloud adoption. The number of Hadoop clusters offered by cloud vendors is going through an intense uptick as organizations tap Hadoop as a killer application.