Spotlight: Using NVMe storage in distributed analytics environments

The latest white papers, case studies and product information

Business Technology Research     June 14, 2018

IN THIS ISSUE Spotlight: Using NVMe storage in distributed analytics environments Why use 3rd party backup for your S3 storage? Advice from a leading expert on digital transformation Utilize self-service BI tools to have departments hone in on their skills E-book: 5 key aspects of data quality management

Spotlight: Using NVMe storage in distributed analytics environments SPONSORED BY: Apeiron Data Systems, Inc. This report highlights the benefits of leveraging Apeiron's ADS1000 Non-volatile Memory Express (NVMe) solution to improve storage in distributed analytics environments. Download now to take advantage of the bandwidth, low latency, and parallel capabilities of NVMe to improve resource utilization and processing for BI and analytics. Read More

Why use 3rd party backup for your S3 storage? SPONSORED BY: Wasabi This tech brief outlines the advantages of using a 3rd-party secondary storage service to ensure your Amazon S3 storage remains highly available. Read More

Advice from a leading expert on digital transformation SPONSORED BY: Equinix Your company needs to perform in the digital economy or succumb to new digital threats. If you're like most companies, no matter where the digital threat comes from, you aren't sure how to respond to it. Access this e-guide to get advice from a CIO dedicated to helping businesses survive their digital transformations. Read More

Utilize self-service BI tools to have departments hone in on their skills SPONSORED BY: AtScale Most businesses understand the value of big data, but can't analyze it quickly and use the data to measure results, find prospects and gain a deeper understanding of their customers. Uncover 4 steps that can empower your employees and speed up your business' ability to turn data into actions. Read More

E-book: 5 key aspects of data quality management SPONSORED BY: Melissa This 48-page data quality e-book focuses on these challenges: understanding when data values are or are not valid and correct, how data values can be made correct, and how data cleansing services can be integrated into the environment. Plus, discover 5 key aspects of data quality management. Read More

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