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There is little disagreement among analyst groups that the Big Data and Analytics market is big and growing rapidly. Forrester says that Big Data software had revenues of $31 billion in 2018. IDC estimates that revenues from Big Data and Analytics solutions will exceed $260 billion by 2022. What can we expect in 2019? What will this year’s Big Data and Analytics trends be? Let’s look at five of them here.
Migration of Dark Data to the Cloud
Dark Data, data which hasn’t yet been digitized and isn’t electronically searchable, will increasingly be captured, transformed, migrated to and analyzed in the cloud.
Robotic Process Automation
Artificial Intelligence, Machine Learning, Workflow and Automation software will increasingly enable more efficient business processes and better interactions with customers.
There has been a proliferation of open source tools that enable the analysis of Big Data sets. These include Apache Spark, Storm and Beam, Tensorflow, and the R programming language. Expect existing projects to evolve and new open source projects to start in 2019.
2019 may be just the start, but expect quantum computers to gradually begin to be introduced this year. The potential of the new type of computer could be huge. Tech vendors like IBM, Google, Intel and Microsoft are all investing. The speed of quantum will enable significantly strong encryption, and software to analyze and simulate complex events like weather, medicine and pharmaceuticals, and finance at orders of magnitude finer detail than we can with today’s convention computers.
The cost of storing massive amounts of data will lead businesses and organizations to seek cheaper storage. As old and unused data collects, businesses will find the significantly cheaper storage costs of cold storage to be attractive. Compared to standard ready-available storage, Cold storage costs can be 50 percent cheaper or more. Solutions include Amazon Glacier, Azure Cool Blob, and Google’s Nearline and Coldline.