Big Data Analytics for Enterprise: Stats, Trends & Applications

May 21, 2019

It goes without doubt that big data is clearly delivering significant value to users. Larger enterprises are leading the way and getting results from big data with focused initiatives. Big Data Analytics Solutions have the potential to be not just disruptive, but also potentially transformational. The consensus is clear: big data brings disruption that can revolutionize business. Successful big data companies are leveraging big data tools and big data technologies to drive results across large, complex enterprises in many different industries.

Spotlight

Gluent Inc.

It is an interesting time to be in enterprise IT. There's the old world and the new world. There's the SAN storage + proprietary database world and there's the Cloud + open data formats world. In the new world, you own your data and can process it any way you like, simultaneously. Hadoop with Spark, Storm, Flink, Phoenix, Presto, Hive, Impala or straight MapReduce - you choose. Modern software running in the cloud, on commodity hardware, slowly eats the legacy IT world. However, the old world is not going away - any time soon. We've been around for long enough to know that. Enterprise data continues to be born in many different old world systems, where it will graduate to the new world for modern analytics and processing.

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8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

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Spotlight

Gluent Inc.

It is an interesting time to be in enterprise IT. There's the old world and the new world. There's the SAN storage + proprietary database world and there's the Cloud + open data formats world. In the new world, you own your data and can process it any way you like, simultaneously. Hadoop with Spark, Storm, Flink, Phoenix, Presto, Hive, Impala or straight MapReduce - you choose. Modern software running in the cloud, on commodity hardware, slowly eats the legacy IT world. However, the old world is not going away - any time soon. We've been around for long enough to know that. Enterprise data continues to be born in many different old world systems, where it will graduate to the new world for modern analytics and processing.

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