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Big Data Platforms Evolve for Analytics, Machine Learning - InformationWeek


The term "big data" reached its peak on Google Trends back in 2015. Organizations were harvesting more data than ever before and needed to store it in a cost-effective way, which may be searches for "Hadoop" also reached a peak on Google Trends that same year. But by 2018, things have shifted. The three big Hadoop vendors -- Cloudera, Hortonworks, and MapR, no longer promote themselves as Hadoop providers. At the Gartner Data Analytics Summit this spring, Research VP Merv Adrian pointed out that none of those vendors even had the word Hadoop in their booth displays at the event.

Cloudera, MapR, AtScale announce new releases at Strata


Cloudera's Impala open source project is now a public beta. The company also launches a real-time query services as its second subscription offering. This is a big week in the analytics world as both Gartner's Data & Analytics Summit in Grapevine, TX and the Strata Data Conference in San Jose are taking place. Many vendors are attending and exhibiting at both; some vendors are only at one, but just about everyone in the analytics world is exhibiting at one of them, at least. Strata, which kicks off today, is more of an announcement vehicle for vendors though, and today three big names in the Big Data world -- Cloudera, MapR and AtScale -- have new releases to announce.

Cloudera Accelerates Enterprise Machine Learning from Research to Production


STRATA DATA -- Cloudera, Inc. (NYSE: CLDR), the modern platform for machine learning and analytics optimized for the cloud, today announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New machine learning capabilities make it easier for data scientists to quickly train and deploy models with higher confidence and lower risk. Massive increases in performance, scale and capacity of Cloudera's modern data platform help organizations keep pace with the explosive growth and diversity of data in their business. These new capabilities enable data teams to collaborate more effectively and deliver models to production faster, enabling secure access to enterprise-scale, high-performance data and compute, both on-premises and across public clouds. Click to tweet: NEWS: @Cloudera empowers enterprises to propel their digital transformation with updates to #cloud and #datascience offerings:

Cloudera transitions, doubles down on data science, analytics, and cloud ZDNet


The cloud is disrupting traditional operating models for IT departments and entire organizations. Cloudera's plan is to lead in machine learning, to disrupt in analytics, and to capitalize on customer plans to move into the cloud. It's a solid plan -- for reasons I'll explain -- but that didn't prevent investors from punishing the company on April 3, when it offered a weaker-than-expected guidance for its next quarter. Despite reporting 50-percent growth for the fiscal year ending Jan. 31, 2018, Cloudera's stock price subsequently plunged 40 percent. Cloudera's narrative, shared at its April 9 to April 10 analyst and influencers conference, is that it has restructured to elevate customer conversations from tech talk with the CIO to a C-suite and line-of-business sell about digital transformation.

Strata NYC 2017 to Hadoop: Go jump in a data lake ZDNet


How can the cloud help CIOs to make the most of the information their firms collect? The Strata Data confab is New York is perhaps the annual Big Event for Big Data. Not only does Strata have NYC all to itself (DataWorks has San Jose, CA as its sole US location) but it happens in late September, just after the lazy haze of summer has worn off and right before the corporate budget process kicks in at a number of Enterprise companies. The show just ended, and it was a biggie. This year, Strata had the Javits Convention Center all to itself, rather than playing alongside another event.