Sign up for our newsletter and get the latest big data news and analysis.

Book Excerpt: Sensitive Data Management and Access Control

Below please find an excerpt from a new title, O’Reilly Media’s “The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science,” a new release in the Data Warehousing category by Alex Gorelik. The Enterprise Data Lake is a go-to resource for CTOs, CDOs, chief analytics officers and their teams, the people charged with extracting the strategic and operational insights from petabytes of data that will ultimately transform their organizations into sooth-seeing, agile businesses.

When it Comes to ML/AI, One Size Does Not Fit All

In this special guest feature, David Winikoff, Senior Director, SteelCentral Product Management at Riverbed Technology, believes that as AI and Machine Learning go from hype to reality, organizations must be cautious in adopting too quickly, as one size does not fit all. Here’s why – data fuels the AI and Machine Learning engine to produce insights and information, and how an organization collects that data will determine its ability to gain actionable and valuable insights and predictive outcomes. As a result, organizations must very carefully select technologies and partners that best meet their specific needs to take full advantage of the opportunities AI and ML offer.

If Data is the New Oil, We’re About to Bust

In this contributed article, Tracy Malingo, Senior VP of Product Strategy at Verint Intelligent Self-Service, a division of Verint, discusses how data certainly has the promise of becoming the next major industry, and with AI as its vehicle, the future seems just as lucrative and legendary as the rise of “Big Oil.” But we need to know how to utilize it. Otherwise we’ll bust before we even have the chance to boom.

How the Gig Economy Will Bring Big Data to Every Market

In this contributed article, Marcus Sawyerr, CEO of YOSS USA, discusses how today’s organizations need data in order to be successful, and they need data scientists to make use of that data. In order for both parties to thrive in this era, companies need to have the right strategies in place before they invest in freelance talent. When they do, freelance data scientists will have the opportunity to gather critical knowledge from the data and use their talents to drive innovation and success.

Why Self-Service BI Tools Alone Can’t Build Data-Driven Cultures

In this special guest feature, Brett Hurt, CEO of data.world, suggests that while 99% of executives want a data-driven culture, it’s hard to build one. Enter the Chief Data Officer (CDO), tasked with capturing and growing the value of data and analysis within his or her enterprise. It’s not an easy job. True data-driven cultures aren’t built by buying expensive tools to empower the data elite. And while deploying self-service BI (business intelligence) tools is one important step in the right direction, the Chief Data Officer is on a journey.

Teradata Expands As-a-Service Offerings for Vantage

Teradata (NYSE: TDC), the Pervasive Data Intelligence company, announced three new offerings for its Teradata Vantage platform, reflecting Teradata’s commitment to offering as-a-service capabilities to meet the needs of their customers. These capabilities provide choice and flexibility for customers operating on Amazon Web Services (AWS) and Microsoft Azure, private cloud or hybrid cloud environments.

3 Non-Obvious Keys to Being AI-Ready

Data scientists know what they are doing, and most organizations have no cause to worry about the soundness of their machine learning (ML) algorithms. Where AI readiness typically lags is in other parts of the process. In most organizations today, the process of building, deploying and maintaining AI systems bears no resemblance to traditional IT. Alegion explores three key strategies your business can employ to be AI-ready.

Things Made Possible by the Machine Learning Revolution

In this contributed article, Joseph Feiman, PhD,, Chief Strategy Officer at WhiteHat Security, discusses the ways machine learning is changing the way we live by examining several touch points with which we can all identify.

Big Data’s Role in Self-Driving Car Development

In this contributed article, Magnolia Potter indicates how big data is changing industries worldwide, and deep learning is contributing to the progress towards fully autonomous vehicles. Although it will still be several decades before the mass adoption of self-driving cars, the change will slowly but surely come. In only a few decades, we’ll likely be living in a time where cars are a safer form of transportation, and accidents are tragedies that are few and far between.

Major Disruptions in Data Storage Technology: What This Shake-Up Means for the Enterprise

In this special guest feature, Dave Donald, Founder and CEO of Keeper Technology, looks at some of the biggest disruptors we will see, or continue to see, shaking up the storage industry in 2019 including: SDS, NVMe, hyper-converged architectures, edge computing, and portable storage architectures.