hadoop

Databricks ropes in Alteryx to push Spark adoption for big data …

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]]>Databricks thinks the open-source Spark engine is the next big thing for big data processing — so it has teamed up with analytics firm Alteryx to supercharge the software.The two data startups intend to drive Spark into the hands of more data analysts through a formal partnership, Databricks and Alteryx have revealed to VentureBeat. They will become the primary committers to Apache Spark, the […]

Databricks Snags $33M In Series B And Debuts Cloud Platform For …

Databricks, the commercial entity created by the developers of the open source Apache Spark project, announced $33M in Series B funding today and the launch of a new cloud product, their first one as a company.There is little doubt that big data is a big deal these days and companies are popping up to help customers process the data. Databricks […]

Staff Software Engineer – Big Data Platform (Ooyala) | Spark Summit

Staff Software Engineer – Big Data PlatformEngineering | Mountain View, CAHave you ever watched a sporting event live on your computer or tablet? Or caught up on the latest videos on your phone? If so, you already know Ooyala.Each month, nearly 200 million viewers in 130 countries watch an Ooyala-powered video. Ooyala works with TV networks, cable and satellite providers, […]

Capacity Planning with Big Data and Cloudera Manager | Cloudera …

Thanks to Bill Podell, VP Big Data and BI Practice, MBI Solutions, for the guest post below.Capacity planning has long been a critical component of successful implementations for production systems. Today, Big Data calls for a particularly deep understanding of capacity management – because resource utilization explodes as business users, analysts, and data scientists jump onboard to analyze and use […]

DataTorrent, A Big Data Platform Built On Hadoop, Can Process A …

DataTorrent made its primary product, DataTorrent RTS, generally available today. The product is built on top of Hadoop 2.0 and allows companies to process massive amounts of big data in real time.According to Phu Hoang, co-founder of the company, who was one of the first engineers at Yahoo! hired in 1996, the product can process more than a billion data events per second. Prior to […]

Trifacta cuts down on big data dirty work. Investors throw $25M at it …

Data scientists shouldn’t have to spend the majority of their time doing grunt work: getting data ready for the analysis that could really make a difference for their employers. They should be able to come up with cool new ideas worth evaluating. No wonder investors are jumping all over software that automates parts of the data-cleaning workflow.Today, one of the […]

Dylan's Desk: Why don't you understand big data? | VentureBeat …

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]]>Sign up for our weekly newsletters, and you’ll get the latest insights from our Dylan’s Desk and DeanBeat columns before they’re published on VentureBeat.Two days at VentureBeat’s DataBeat conference this week have convinced me that “big data” is real and potentially transformative — but, […]

Advertising, telecommunications, financial services, & health care …

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]]>SAN FRANCISCO — The Hadoop open-source big data software is great at predicting things, and the more data it has to work with, the better the predictions, Charles Zedlewski, Cloudera’s vice president of products, said today at VentureBeat’s DataBeat conference.It follows that the industries that rely the most on the ability to predict will be the first to […]

The Data Economy: Big Data vendor alliances solidifying with …

The development of distinct, competing camps of vendors is one sure sign that an emerging market is maturing. This is precisely what we’re seeing now in the Big Data market.This morning Cloudera and MongoDB announced they are forming a “strategic partnership” that will see the vendors even more tightly integrate their two technologies and, in their words, “help enterprises define […]

Tupleware: Redefining Modern Analytics | Intel Science …

By Andrew Crotty, Alex Galakatos, and Tim Kraska, Brown UniversityThe increasing prevalence of big data across all industries and sciences is causing a profound shift in the nature and scope of analytics. Increasingly complex computations, ranging from machine learning to predictive modeling, are fast becoming the norm. Users commonly express such tasks as a collection of user-defined functions (UDFs), preferably written in […]