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insideBIGDATA Latest News – 10/20/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

The insideBIGDATA IMPACT 50 List for Q4 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

insideBIGDATA Latest News – 10/6/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Video Highlight: A Vision of Analytics — Challenge the Data Warehouse Status Quo

The pandemic and related disruptions have caused companies to think hard about their data and analytics strategies and how they get real-time answers. In the keynote presentation below, Yellowbrick CEO, Neil Carson, discusses why the single most important set of technologies a company should be investing in today is an analytics infrastructure. Carson explains why these are the technologies that will determine whether your business survives.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and UK, this whitepaper explores the data management challenges organizations are facing, the vital role data warehouses play, and the road to success.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who  surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and  UK, this whitepaper explores the data management challenges organizations are facing, the  vital role data warehouses play, and the road to success.

insideBIGDATA Latest News – 9/1/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Data Warehouse Automation: Five Steps to Success

In this contributed article, Stan Geiger, director of multi-platform tools, which includes WhereScape data automation, at Idera, Inc., discusses how embracing data warehouse automation is not just a matter of implementing new tools or technologies.. Success can depend on building a number of key steps, ideas and processes into the strategy.

The Problem with Data Lakes: How Enterprises Can Make the Most of Their Data

In this special guest feature, Bob Friday, CTO of Mist Systems, a Juniper Networks company, believes that data lakes have grown beyond what anyone initially imagined, to the point that they have become data oceans. Fortunately, there are a number of ways that enterprises can navigate these waters to make the most of their data. Although data lakes play a vital role in helping enterprises solve a number of network issues, our increasing dependence on data lakes has created a new issue in itself – they are simply too large given the exponentially growing amount of data being generated.

The Value of Data Now vs. Data Later

In this contributed article, Fluency CEO and Founder Chris Jordan discusses the inevitable extinction of Moore’s law. 90% of the world’s data has been produced over the last two years, yet companies only analyze 12% of it. With Big Data only continuing to grow, how can more innovative data storage solutions, such as the cloud, effectively respond to this level of growth?