The Future of Open Source Big Data Platforms

Three well-funded startups – Cloudera Inc., Hortonworks Inc., and MapR Technologies Inc. — emerged a decade ago to commercialize products and services in the open-source ecosystem around Hadoop, a popular software framework for processing huge amounts of data. The hype peaked in early 2014 when Cloudera raised a massive $900 million funding round, valuing it […]

The Power of Crunching Big Data Effectively

In this contributed article, Lex Boost, CEO of Leaseweb USA, points out that according to an Accenture study, 79% of enterprise executives agree that companies not embracing big data will lose their competitive edge. Considering that data creation is on track to grow 10-fold by 2025, it’s crucial for companies to be able to process it more quickly, and meaningfully.

Cloudera + Hortonworks: A Marriage from the Edge to AI

Did you hear the clap of thunder in the big data ecosystem today? If so, it was only just Cloudera, Inc. and Hortonworks, Inc. jointly announcing that they have entered into a definitive agreement under which the companies will combine in an all-stock merger of equals. The transaction, which has been unanimously approved by the Boards of Directors of both companies, will create the world’s leading next generation data platform provider.

Octo Telematics Transforms the Insurance Industry with Machine Learning and Analytics Platform

Octo Telematics, a leader in telematics for insurance companies, is introducing innovations for insurance by aggregating 186 billion miles of driving data from connected cars and using Cloudera Enterprise to predict and model driver risk.

Cloudera Launches Altus to Simplify Big Data Workloads in the Cloud

Cloudera, Inc, (NYSE:CLDR) the provider of a leading modern platform for machine learning and advanced analytics, announced the release of Cloudera Altus, a Platform-as-a-Service (PaaS) offering that makes it easier to run large-scale data processing applications on public cloud.

Cloudera to Accelerate Data Science and Machine Learning for the Enterprise with New Data Science Workbench

Cloudera, the provider of a leading platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new self-service tool for data science on Cloudera Enterprise which is currently in beta.

Apache Spot (Incubating) Provides Scalable, Flexible, Open Source Cybersecurity Hub for Forensic, Telemetry and Contextual Data

Cloudera, a provider of a data management, analytics and machine learning platform built on the latest open source technologies, announced that Apache Spot (incubating) now acts as a modern, open-source solution that can economically provide a comprehensive cybersecurity hub for forensic, telemetry, and contextual data.

Arcadia Data Introduces Visual Analytics Platform Native to Cloudera Enterprise

Arcadia Data, the visual analytics software that solves the most complex big data problems, announced new native integration features for Arcadia Enterprise and Cloudera Enterprise to deliver a comprehensive real-time, Hadoop-native analytics platform. Directly integrated with Cloudera Manager and with new support for Apache Kudu and Cloudera Search, users will now have access to data-native architecture that enables both real-time dashboards and rich data visualization for large-scale, big data uses cases such as IoT data, spanning cloud, on-premises, and hybrid deployments.

Fuzzy Logix Announces Availability of DB Lytix™ for Cloudera Enterprise 5

Fuzzy Logix announced availability of its advanced analytics suite DB Lytix™ on Cloudera Enterprise 5. DB Lytix software enables analysts and data scientists to perform predictive and advanced statistical analysis on Cloudera using fast, fully supported and scalable analytics running natively on the cluster.

Apache Spark Survey Reveals Increased Growth in Users and New Workloads Including Exploratory Data Science and Machine Learning

In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people. The sample was made up of technical and managerial job roles from around the world directly involved in big data.