Learn about the latest big data analytics and BI trends in Apache Hadoop, the cloud, data lakes, IoT analytics, data visualization, and more as you browse through these insightful posts.

May 11, 2018 - Shant Hovsepian

The Competitive Advantage Of Streaming Analytics

This blog was first published on Forbes. The amount of data generated by devices and machines continues to rise. Exponential data growth places an enormous amount of pressure on systems that must keep that information moving at high speeds from machines to data lakes or warehouses and into analytics platforms. Data storage and management are…

May 10, 2018 - Dan Woods - Evolved Media

The Top Six Reasons Data Lakes Have Failed to Live Up To Expectations

This post was guest-written by Dan Woods, CEO of Evolved Media & Chief Analyst of Early Adopter Research. Dan creates ideas about technology products, based on a broad technical understanding. By writing as an analyst in Forbes and working with Evolved Media’s clients, he sees the magic in technology and why it matters to IT buyers. It…

May 9, 2018 - Steve Wooledge

AI for BI: New 451 Research Report

There is an abundance of hype around artificial intelligence (AI) and machine learning (ML) in and around the analytics market. Matt Aslett and Krishna Roy published a new 451 research report last week highlighting a few key areas where AI is “assisting” humans for decision making (rather than just making the decision for them). “AI…

May 8, 2018 - Paul Lashmet

Adapt to Commercial Real Estate Market Uncertainty and Capitalize on Opportunities

This post was co-written with JJ Medina, Managing Director ~ Enterprise Software Solutions for Financial Services at Pitney Bowes Commercial Real Estate (CRE) is at a risky inflection point.  The rate of charge-offs (when the value of loans are removed from books and charged against a loss reserve) are essentially at zero while delinquency rates are…

May 3, 2018 - Dale Kim

How Native BI Platforms for Data Lakes Can Propel Your Analytics to the Next Level

If you are part of a large modern enterprise, you probably consider your company to be data-aware, meaning that you can transform raw data into useful information using a variety of data integration, data management, and business intelligence (BI) tools. But being data-aware doesn’t necessarily mean that you are insights-driven. These days, your organization must…

May 1, 2018 - Dan Woods - Evolved Media

Why Going Data-Native Can Save Your Data Lake

This post was guest-written by Dan Woods, CEO of Evolved Media & Chief Analyst of Early Adopter Research. Dan creates ideas about technology products, based on a broad technical understanding. By writing as an analyst in Forbes and working with Evolved Media’s clients, he sees the magic in technology and why it matters to IT buyers. It’s…

April 26, 2018 - Paul Lashmet

Democratization of Advanced Analytics

Co-written with Peter Memon, Managing Director – Global Head of Emerging Technology at Synechron. This article was originally posted on Synechron Mind the Gap between Technology and Business Intent Solutions to complex analytical problems often rely on the craftsmanship of highly-specialized experts in data science, machine learning, and other branches of artificial intelligence.  The extent to which advanced…

April 23, 2018 - Dale Kim

Visualizations on Apache Kafka for the Business Folks

For those of you who are always on the move, I’ll not hold you down and instead quickly tell you that you can easily get started with visualizations on Apache Kafka topics with KSQL without a big time investment, and you can get help from us in our new community forum at alexandria.arcadiadata.com. For the…

April 19, 2018 - John Thuma

Enabling Citizen Data Scientists – and Those around Them

Companies are extending data and analytics across departments, so “a follow-on effect is that personnel who previously didn’t have to perform analytics now have to do so in order to do their jobs,” according to the 451 Research report Citizen Data Scientists: The New Darlings of the Analytic Sector? Download the report to read 451…

April 11, 2018 - Dale Kim

Can Your Data Lake Be Saved?

If you are a believer in Betteridge’s Law, then you’re in for a surprise (though perhaps I should’ve titled this blog as, “Are Data Lakes Doomed to Fail?” so as to not contradict the law). Data lakes can, in fact, be saved. If you are reading this post because you are intrigued by the title,…

April 10, 2018 - Dale Kim

Want Agile BI? You Need These Capabilities

The need for immediate access to data is a popular theme in business today. The most successful companies will be those that react quickly to changing environments. One of the biggest challenges organizations face today is ensuring that many different types of users get access to granular data in a timely manner in order to…

April 4, 2018 - Steve Wooledge

My 4 Key Takeaways on Data Lakes from the Gartner Data and Analytics Summit 2018

As in any hot technology market, people become either enamored or confused by new terms and acronyms: AI/ML, GDPR, IoT, big data, data hubs, and of course, “data lakes.” A few weeks ago at the Gartner Data and Analytics Summit in Grapevine, TX, I attended 11 sessions, three analyst inquiries, and talked with dozens of…