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Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance

This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.

Introducing Apache Druid

This whitepaper provides an introduction to Apache Druid, including its evolution,
core architecture and features, and common use cases. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows.

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

How to Plan and Launch Your Modern Data Catalog

Implementing a data catalog helps every member of your data community discover and use the best data and analytics resources for their projects, achieve faster results, and make better decisions. They illuminate tribal knowledge and spur collaboration, both of which are key elements of collective data empowerment. Are you ready to plan and launch your modern data catalog? Data.world says, let’s get started.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

This insideBIGDATA technology guide explores how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

Five Things to Consider When Choosing a Data Catalog

The self-service data analytic journey often begins with data catalog. Download the new white paper from Unifi Software that offers insight on what considerations to take into account when choosing a data catalog in today’s market. 

The Data Catalog Business Case

The value and benefits of a data catalog are often described as the ability for analysts to find the data they need quickly and efficiently. Data cataloging accelerates analysis by minimizing the time and effort that analysts spend finding and preparing data.

Multi-Cloud Active Archive

Aparavi helps organizations master out of control unstructured data growth. They slow secondary storage growth by 75% with guaranteed availability regardless of how long data is retained. Their SaaS-based active archive delivers true storage independence with on-premises and multi-cloud mobility. This along with their open data format removes vendor-lock in forever. Aparavi pays for itself […]

2017 Data Connectivity Outlook

Progress presents the results of its 4th annual Data Connectivity Outlook, based on 1,200 survey responses. Respondents included business and IT professionals in various roles, representing a range of industries and organization sizes across the globe.

Parallel Storage Solutions for Better Performance

Using high performance parallel storage solutions, geologists and researchers can now incorporate larger data sets and execute more seismic and reservoir simulations faster than ever before, enabling higher fidelity geological analysis and significantly reduced exploration risk. To lean more download this white paper.