The forecast for the IoT analytics market is one of stupendous growth at a 30 percent compounded rate over the next five years. Furthermore, while the growth to this point has been driven by an increasing number of smart devices coming online, the next leg up results from an explosion of analytical tools, frameworks and hardware needed to collect, process and analyze the expected IoT data tsunami.
Apache’s Hadoop, the dominant, open-source, big data solution is expected to reap huge benefits from this phenomenon according to multiple research organizations including Forrester, IIA, IDC and more. Here are the top ten 2015 predictions regarding Hadoop from these and other sources.
1 – Hadoop Is Going Mainstream
Given that the likes of Verizon, Netflix and Wal-Mart are already fully on board, going mainstream means Hadoop is about to vanquish the final hold-out CIOs and CTOs who have yet to make Hadoop a priority.
2 – Distributions and Competition Are on the Rise
Oracle, SAP, Software AG, HP and Tibco will soon add their Hadoop distributions to those of IBM and Pivotal. Vertical Hadoop cloud solutions are just around the corner, all of which provide enterprises plenty of choice and leverage.
3 – Big Names Will Fill in the Gaps
Where Hadoop has solution gaps, there are plenty of big players now ready to swoop in, such as Informatica, Oracle, IBM, Microsoft, Teradata and the list goes on. These all have products out or on the drawing board for analytics, data management and governance that will work out of the box with enterprise apps.
4 – Hadoop Cloud Clusters Increase Cloud Demand
Many enterprises find that the variance in Hadoop cluster requirements for compute, storage and network resources is large enough that it pays to move it to the cloud. There, they can ramp up as many Hadoop nodes as needed on a short-term basis without the maintenance headaches of on-site machines.
5 – Linux and Windows Build-in Hadoop
Following the example of free, built-in HTTP servers, the big OS vendors will add Hadoop to their offerings and will do so en masse. This makes it a snap for IT or non-IT professionals to add a Hadoop node and join a cluster.
6 – The SQL-Hadoop Saga Comes to a Happy End
The relationship between Hadoop and SQL has been a multitude of SQL-on-Hadoop solutions until recently. Now, Apache Drill enables SQL over schema-less files, Hive, HBase, MongoDB and JSON. Hive offers enterprise-grade RDBMS and multi-engine execution. In short, both offer a tremendous boost to Hadoop adoption.
7 – Hadoop as an Application Platform
The newest YARN management features, HBase database options and in-memory Apache Spark all contribute to the concept of Hadoop as a mature platform supporting direct execution of database and middleware software.
8 – Hadoop Skills Will Come from Inside
Boiled down, Hadoop is a distributed file system built on a distributed compute platform. It runs on Java and SQL. Fundamentally, there is not much new there. Experts on both technologies already fill enterprise development teams, so their conversion to Hadoop experts is logical. Furthermore, Hadoop tools are improving rapidly to make it easier to use.
9 – Multimedia Analytics Will Triple
That is according to IDC. Already half of big businesses include videos, images and audio tracks in their big data analytics streams, but there is plenty of growth and opportunity for enterprises who can extract the higher value from these sources.
10 – Big Data Security Concerns
The use of predictive analysis over big data is already in use by defense systems looking for malicious network activity. Solutions in this area are predicted to rise dramatically in the fight against cyber-criminals. Additionally, new tools and services will grow rapidly to protect businesses and consumers from the privacy threats inherent in big data and the impending wave of IoT devices.
The onslaught of data from IoT and the thirst for improved big data analytics to support informed decision-making will drive Hadoop adoption like never before in 2015 and beyond. As it does, there will be a perceptible shift in enterprise focus starting this year from how to manage so much data to how can deeper, more valuable patterns be extracted from current and future data streams. This is what Hadoop is made for.
Those companies who have not yet embraced the advantages of the open, community-supported big data platform of Hadoop and the immense ecosystem it is spawning, will be coming on board soon.