Andrew Brust, Tony Baer and George Anadiotis cover Big Data technologies including Hadoop, NoSQL, Data Warehousing, BI and Predictive Analytics.
For Vodafone NZ, the slogan that data science is a team sport took on new meaning. Based in a small, isolated market, the company had to bypass traditional HR approaches, taking a Moneyball-like rationale to build the right team.
How many NoSQL databases does the world really need, and how easily would you switch your existing solution for a new one? Asking these questions before setting out to build a NoSQL database is a good thing. The people behind ScyllaDB did, and now Cassandra may be between a rock and hard place.
New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
Day one of trading was good for MongoDB. The company has grown with a developer-friendly platform, a unique open source model, and an ability to poach workloads from the Oracles and SQL Servers of the world. The looming challenge is how it navigates coopetition with its frenemies in the cloud.
With a new back end server, more connectivity, and a new data preparation capability, Tableau is growing its footprint across the enterprise. Is the company -- and its customers -- ready for the scrutiny that such ambitions invite?
SAP's Spark-based data query platform gets a refresh. Now it's containerized, cloudified and runs on Spark 2.x.
Did you ever wonder what it's like to build an AI personal assistant, or to bridge the language gap? Hint: There's big data and machine learning involved.
AtScale, Kinetica, SAP and NVIDIA tout their BI, Big Data, AI and GPU advances.
There's always a blue sky technology waiting in the wings, and for enterprise computing, quantum computing takes that role. With Satya Nadella convening a panel of Microsoft's best physicists at the end of his Ignite conference keynote, it's fair time to ask, what will this mean to the enterprise and how long will the adoption curve take?
We've heard the one data platform to rule them all story before. Could it be this time it's actually true? New Pivotal-backed and Spark-compatible open source solution SnappyData promises so, and we take the opportunity to look inside and around for whys, hows, and options.
Our takeaways from this fall's Strata main event are that enterprise data lakes are going the (virtual) way of enterprise data warehouses, and that for now, machine learning is more accessible than IoT to developers.
With more than 30 noteworthy announcements made at the show, this year's Strata Data New York was chuck full o' news. Here's a summary, along with a set of trends we can harvest from the event.
Growing support for Linux and opening new paths to machine learning were the overriding themes of Microsoft's Ignite conference this week.
If you're a spreadsheet kind of person with a ton of data sitting in a data lake, Datameer's new visual exploration feature may be your thing.
SAP leverages its Vora product, visual designers, and a solemn mission to let data stay in its source systems, to create its new Data Hub product. Will the wild Enterprise data landscape finally be tamed?
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