We would like to keep you up to date with the latest news from Digitalisation World by sending you push notifications.
Digital Newsletter
Each week our editor Phil Alsop rounds up the most popular articles, videos and expert opinions. We compile this into a Digital Newsletter and send it straight to your inbox every week.
Digital Magazines
We'll let you know each time a new edition of Digitalisation World is released so that you're always kept up-to-date with the latest and greatest news and press releases.
Video Magazines
The Digitalisation World Video magazine contains the latest Zoom interviews with experts in the industry.
A key component of modern data architectures, HDP is a secure, enterprise-ready, open source Apache™ Hadoop® based platform and addresses the complete needs of data at rest, powers real-time customer applications and delivers robust big data analytics that accelerate decision-making and innovation. Unlike other Hadoop based distributions, many of the new enhancements to HDP 3.0 are based on Apache Hadoop 3.1 and include:
? Agile application deployment via containerization, which enables apps to be launched quickly, allowing users to save time and resources. With containers running on HDP, developers can move fast, deploy more software efficiently, and operate with increased velocity.
? Support for deep learning applications, allowing customers to run workloads such as machine learning and deep learning that require substantial – and expensive – GPU resources. This feature leverages pooling and isolation which enables data scientists to democratize and share GPU access.
? Real-time database, delivering improved query optimization to process more data at a faster rate by unifying the performance gap between low-latency and high-throughput workloads. Enabled via Apache Hive 3.0, HDP 3.0 offers the only unified SQL solution that can perform interactive query at scale – regardless of whether the data lives on-premises or in the cloud.
? Enhanced security and governance, promoting greater regulatory compliance, including GDPR, through full chain of custody of data as well as fine-grained auditing of events. These new features offer the unique ability to track the lineage of data from its origin to the data lake. It also enables auditors to view data without making changes, have time-based policies, and audit events around third parties with encryption protection.
Optimized for the Cloud
HDP continues to evolve to meet the unique characteristics of cloud deployments. The platform includes engineered support for all of the major cloud object stores: Amazon S3 with support for native EDW, Windows Azure Storage Blob (WASB), and Google Cloud Storage (GCS). This includes enhancements across the platform that deliver a consistency layer for non-consistent cloud stores. Customers also benefit from shared services of enterprise security, data governance and operations across public clouds and automatic cluster scaling cluster based on usage or time metrics for added efficiency. As enterprises move big data workloads from on-premises to cloud, HDP enables customers to adopt a hybrid data architecture with any and all of the major cloud providers.
“HDP 3.0 includes key innovations such as containerization, support for deep learning workloads and real-time database that further modernize our data platform, ultimately leading to faster insights for the business,” said Eric Endebrock, vice president, Storage Solutions Marketing at Micron Technology. “HDP 3.0’s real-time database query optimizations, with best-of-breed Micron® NVMe™ Solid State Drives, accelerate the time-to-insights so critical for decision making in today’s competitive business environment.”
