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.

Making Machine Learning Simple

For enterprises who need to jump start into machine learning, Databricks provides the performance, reliability, and ease of use to tackle machine learning with big data. With Databricks, teams will be able to focus on solving hard machine learning problems instead of supporting infrastructure. To learn more on making machine learning simple download this white paper.

Configuration for Big-Data-as-a-Service

This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.

insideHPC Special Report Riding the Wave of Machine Learning & Deep Learning

AI, machine learning and deep learning are transforming the entire world of technology, but these technologies are only making headway now due to the proliferation of data. Companies first steps should include the “Five-step enterprise AI strategy”. To learn more about riding the wave of machine learning and deep learning download this insideHPC special report.