Cloudera Inc is a United States-based software company. It has developed platforms for data management, machine learning and advanced analytics. The company's platform enables organizations to use vast amounts of data from a variety of sources, including the Internet of Things (IoT), to better serve and market to their customers, design connected products and services and reduce risk through greater insight from data. The company's platform addresses three new markets: Dynamic Data Management Systems, Cognitive/AI Systems and Content Analytics Software, and Advanced and Predictive Analytics Software.
Cloudera was founded in 2008 by veterans of Silicon Valley companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Cloudera has grown to more than 1,600 employees. They have offices in 24 countries around the globe, with their headquarters in Palo Alto, California.
Cloudera Data Platform (CDP)
Cloudera Data Platform is an integrated data platform offering users enterprise analytics and data management with Cloudera's security and governance capabilities, which Cloudera says can deliver a secured data experience for the user. CDP uses machine learning to autoscale workloads for cost-effective use of cloud infrastructure. The platform manages data in any environment, including multiple public clouds, bare metal, private cloud, and hybrid cloud.
Cloudera DataFlow (CDF)
Cloudera DataFlow, formerly Hortonworks DataFlow, is a scalable, real-time streaming analytics platform that ingests, curates and analyzes data for insights and actionable intelligence. The platform is a no-code approach to processing real- time data, tracking data provenance and lineage of streaming data and monitoring and managing edge applications and streaming sources.
Cloudera Data Science Workbench
Cloudera Data Science Workbench is a platform for collaborative data science which Cloudera says will accelerate machine learning from research to production built for enterprise scale. Cloudera Data Science Workbench works with Python, R, and Scala and allows users to manage their analytics pipelines, with scheduling, monitoring and email alerting. As well, users can download libraries and frameworks in project environments.
Cloudera Data Hub
The Cloudera Data hub is a mutli-function analytics platform for data-driven and cloud-first enterprises which Cloudera says uses their security and governance applications. The Cloudera Data Hub platform includes a suite of analytic engines ranging from stream and batch data processing to data warehousing, operational database, and machine learning.
Cloudera's acquisitions include Arcadia Data, acquired September 4, 2019; Hortonworks, acquired October 3, 2018; Hyperpilot, acquired August 31, 2018; Fast Forward Labs, acquired September 7, 2017; Sense Platform, acquired March 22, 2016; xplain.io, acquired February 3, 2015; DataPad, acquired September 30, 2014; Gazzang, acquired June 2, 2014; and Myrrix, acquired July 16, 2013.
It's Time for MLOps Standards, Cloudera Says
This month, the company launched a preview of an MLOps product, which ostensibly would be launched in 2020.
Cloudera, Inc., (NYSE: CLDR), announces the findings of a global research report
The report was created in association with Harvard Business Review Analytic Services, which examines the trends, pain points, and opportunities surrounding Enterprise IT challenges in data analytics and management in a multicloud environment.
IBM, Cloudera Partnership Focused on Advanced Data, AI
Arnaud De La Chatre
Arun M Krishnakumar
Ashwin Chandra Putta
Carly Van Orsdel
Cloudera tackles machine learning "ops," governance
December 11, 2019
How Cloudera Is Battling Shadow IT with CDP
October 4, 2019
Where does Cloudera go from here?
Tony Baer (dbInsight)
October 3, 2019
Documentaries, videos and podcasts
Bringing a shared data experience to the cloud
September 9, 2018
IQVIA: increasing prediction accuracy by four times to accelerate the pace of discovery
May 7, 2019
With Love, Cloudera
December 11, 2019