Learn about the Six Important Trends Influencing the Big Data Market

Learn about the Six Important Trends Influencing the Big Data Market

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ď ś Big data is a collection of data sets or chunks of information too large and complex to be processed using traditional software tools. ď ś Most companies are required to handle big data and make use of data cleansing services to obtain clean and actionable data. ď ś Big data works and provides businesses solid return on investment, when it is done well.

Boston Consulting Group (BCG) reports that utilizing Big Data in sales, marketing, supply chain, manufacturing and R&D can provide businesses 20% to 30% gains.

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Significant Trends You Can Expect in the Big Data market 1

2

Insight-driven Organizations

More start-ups to make data actionable

Companies are slowly adopting a DevOps like model to Big Data projects known as DataOps. It is an approach to build a self service data platform for delivering insight-driven business decisions across the organization.

With advancements in technology and storage, several start-ups have emerged to make sense of the data and provide the necessary timesensitive information to stakeholders. www.managedoutsource.com

3 Increased Attention towards Data Governance Data governance cannot be an afterthought for the modern data architecture, or else a data lake, a storage repository that holds a vast amount of raw data in its native format until it is needed, will quickly turn into data swamp.

4 Rise of the cloud

Enterprises are increasingly making use of cloud services for big data processing and storage.

Large amounts of data are produced by companies every year, thus cloud based storage is more practical and efficient.

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5 Hadoop will continue to be popular Hadoop will continue to be popular, as it allows you to store large volume of data at a significantly lower price point. Share of unstructured data in the data warehouse will also continue to increase which will further the cause for Hadoop.

6 Introduction of autonomous data platforms An autonomous data management platform intelligently automates tedious manual data management tasks like capacity planning and performance optimization, by self-managing and self-optimizing itself.

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Big data inundates a business on a day-to-day basis. It is not the amount of data that is important but what organizations do with the data. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

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