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Nov 28, 2018 | By Bikas Saha
This is the second in a series of data science blogs that we plan to publish. The first blog outlined the data science and data engineering capabilities of Hortonworks Data Platform. In this blog we highlight how the latest release of Apache Hive 3 can work with Apache Spark.
Nov 27, 2018 | By Anu Engineer
The AWS S3 protocol is the defacto interface for modern object stores. Ozone-0.3.0-Alpha release adds S3 protocol as a first-class notion to Ozone. For all practical purposes, a user of S3 can start using Ozone without any change to code or tools.
“Fast Forward” Industry 4.0 with Enterprise Big Data Analytics and Machine Learning with PTC and Hortonworks
Nov 27, 2018 | By Michael Ger
Today, PTC and Hortonworks announce a strategic partnership to “fast-forward” the realization of Industry 4.0 benefits including improved manufacturing quality and yield, enhanced asset and plant uptime, and optimized production flexibility and throughput. This collaboration is directed at a state-of-the art solution comprised of complementary offerings from Hortonworks and PTC that, together, provide...
Nov 20, 2018 | By Murali Ramasami
Central to empowering businesses to deliver the right data in the right environment to power the right use case is the ability for location-agnostic, secure replication by encapsulating and copying data seamlessly across physical private storage and public cloud environments.
Nov 20, 2018 | By George Vetticaden
With the release of Hortonworks Streams Messaging Manager (SMM) this year, we have focused on helping DevOps and Platform teams cure their Kafka Blindness. The Hortonworks product and engineering teams continue to invest in building powerful new capabilities in SMM with new upcoming features like alerting and topic lifecycle management.
Nov 7, 2018 | By Hortonworks
Big data analytics is a critical component of most organizations’ digital transformation initiatives. However, many fall short due to the challenges associated with implementing an open source solution. From lengthy implementations, to a lack of hands-on experience and talent, building and deploying an analytics solution can require more resources than most organizations are prepared for.
Nov 1, 2018 | By Hortonworks
In today’s hybrid and multicloud environments, data identification and integration problems often stymie DevOps practitioners, database administrators, data architects and big data operators trying to fulfill effective analytics. To get unstuck, forward-looking organizations are deploying global data management platforms that span hybrid cloud architectures.
Oct 29, 2018 | By Hortonworks
Big data and analytics (BDA) is at the top of the priority list for U.S. banks. 28% of banks surveyed by IDC reported that their primary purpose for investment in this area was to understand and target customers better, the top reason for investment.
Oct 19, 2018 | By Hortonworks
Hortonworks was cited as a Strong Performer in “The Forrester Wave™: Cloud Data Warehouse, Q4 2018.” In their evaluation, Forrester noted, “The vendor provides a cost-effective, nimble, and scalable architecture to implement data warehouses, whether on-premises, multicloud, or hybrid cloud.”
Oct 9, 2018 | By Hortonworks
The cloud has provided numerous benefits to many organizations, including scalability, cost savings and flexibility. Because of this, adoption of cloud services continues to grow rapidly. According to IDC, 56% of companies already utilize multiple cloud services.
Oct 30, 2018 | By Hortonworks
Global Data Management is critical for successful digital transformation. Enterprises are re-inventing their data management strategies through the effective use of IoT, Big Data, and Machine Learning to launch new digital initiatives. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.
Oct 1, 2018 | By Hortonworks
Hortonworks Data Platform (HDP) is a secure, open source Apache Hadoop distribution on a centralized architecture. Designed to support data at rest, HDP helps power real-time customer applications, enabling organizations to gain business insights, foster innovation, and drive their digital transformation journey in a hybrid environment – both on-premises and in the cloud.
Sep 6, 2018 | By Hortonworks
7000 analysts, 80ms average latency, 1PB data. 250k BI queries per hour. On demand deep reporting in the cloud over 100Tb in minutes. Cloud and on-prem, fast, scalable, secure, open source. These are the kind of things Hive 3 is delivering for businesses today. If you want to find out how, come join us for this talk.