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Databricks Secures $140 Million to Accelerate Analytics and Artificial Intelligence in the Enterprise

Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, announced it has secured $140 million in a Series D funding round led by Andreessen Horowitz. New Enterprise Associates and Battery Ventures also participated.

Top 3 Reasons to Invest in Big Data

In this contributed article, business strategist and finance columnist Dr. Diane Schleier-Keller, takes a look at the top 3 reasons to invest in big data. People are starting to notice the astonishingly useful applications of collating unimaginably large data sets. With this realization, another soon follows: big data has the capability to generate a profusion of wealth.

How to Move a Petabyte of Data to the Cloud in Four Steps

Organizations of all sizes are increasingly using public cloud infrastructure, but those with hundreds of terabytes or petabytes of data find the shift to cloud more complex, disruptive, and inflexible than it is presumed. The business value of cloud storage is desirable, but large data volumes present large challenges for migration, compatibility, and agility. Below are four steps to transition even petabyte-scale data to cloud environments from experts at SwiftStack, a company that powers hybrid cloud storage for enterprises.

In the Time of Big Data and Machine Learning, It’s Important to Ask “Why?”

In this special guest feature, Sundeep Sanghavi, Co-founder and CEO of DataRPM, believes that “The Five Whys” interrogation technique developed by Sakichi Toyoda, founder of the Toyota car company and hero of the Japanese industrial revolution, is still very relevant in today’s age of big data and machine learning.

“Above the Trend Line” – Your Industry Rumor Central for 8/21/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Big Data in the Field of Entertainment

In this contributed article, Ritesh Mehta, Senior Technical Account Manager for TatvaSoft Australia, discusses the impact big data is having on the entertainment industry. Big Data as an integral technology is in a position to be a boon to the entertainment field. It could enhance the profitability of the movies, always a high risk business. The green-lighting of a story, to the selection of cast to the timing of release could be determined.

5-Minute Guide to Text Analytics

The “5-Minute Guide to Text Analytics” prepared by Attivio to learn how cognitive solutions surface the untapped business value typically hidden in unstructured content. By automatically identifying key concepts, extracting entities, and analyzing sentiment – with multi-language support – text analytics adds structure to the unstructured so it can be added to a knowledge graph, along with the structured data.

Top 4 Big Data Skills for Engineers

In this contributed article, Manisha Sule, Director of Big Data Analytics at Linux Academy, discusses why big data is growing and important, identifies the top big data skill sets to have, and explains why they are important.

For a Successful Data-driven Transformation, Follow These Three Steps

In this special guest feature, Lars Fæste and Antoine Gourévitch of The Boston Consulting Group, discuss how data is becoming an increasingly powerful tool for business leaders in many industries who want a competitive edge, and how many companies struggle to collect and profit from data in new ways. He then outlines a three-step approach to data transformation that is easier, cheaper and more successful than attempts at sweeping, large-scale change.

Dataguise Announces Four Steps Enterprises Can Take Today to Accelerate GDPR Compliance

Dataguise, a leader in data-centric audit and protection (DCAP), announced four steps that enterprises globally can take today to accelerate compliance with the European Union’s General Data Protection Regulation (GDPR).