Big Data & Hadoop Career Analysis

Market research and advisory firm Ovum estimates the big data market will grow from $1.7 billion in 2016 to $9.4 billion by 2020. As the market grows, enterprise challenges are shifting, skills requirements are changing, and the vendor landscape is morphing. The coming year promises to be a busy one for big data pros. Here are some key predictions for big data in 2017 from industry watchers and technology players.

·         The era of ubiquitous machine learning has arrived

·         When data can’t move, bring the cloud to the data.

·         Applications, not just analytics, propel big data adoption.

·         The Internet of Things will integrate with enterprise applications.

·         Data virtualization will light up dark data.

·         A boom in prepackaged integrated cloud data systems.

·         Cloud-based object stores become a viable alternative to Hadoop HDFS.

·         Next-generation compute architectures enable deep learning at cloud scale.

·         Hadoop security is no longer optional.

·         Big data becomes fast and approachable.

·         Organizations leverage data lakes from the get-go to drive value

·         The convergence of IoT, cloud, and big data create new opportunities for self-service analytics.

·         Self-service data prep becomes mainstream as end users begin to shape big data

·         Self-service analytics extends to data prep Analytics will be everywhere, thanks to embedded BI.

·         IT becomes the data hero.

·         Artificial intelligence is back in vogue.

·         Companies focus on business-driven applications to avoid data lakes from becoming swamps.

·         Data agility separates winners and losers.

·         Block chain transforms select financial service applications