Demand Of Big Data

Hadoop have taken the Big Data market by storm in 2012 – 2016, a period marked by wave of mergers, acquisitions and financial rounds with the high valuations. It would not be exaggeration to say that today, Big Data is the only cost-sensible and scalable open source alternative to the commercially available Big Data management packages. It also becomes an integral part of almost any commercially available Big Data solution and industry standard for business intelligence (BI).

In 2012 -2015 Hadoop development and growth has been financed mostly by venture capital, acquisition money and R&D budgets. Hadoop talent is in scarce and is not coming in cheap. Hadoop learning curve is steep. Yet, more and more companies are gravitating toward Hadoop and functionality that it offers. A few interesting trends emerged in the Hadoop market in the last couple of years:

• Shift from batch processing to online processing;
• Emergence of alternatives of MapReduce, like Spark, Storm and DataTorrent;
• Growing dissatisfaction with the gap between demand for SQL-on-Hadoop and existing capabilities;
• In-house Hadoop development and deployment;
• IoT is coming and it will likely spur Hadoop’s case;
• Niche companies focus on enhancing Hadoop features and functionality like visualization, user-friendliness, governance, easing up Hadoop’s way to the market.

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