A Log-Structured Hash Table for Fast Key/Value Data

whitePaper | September 1, 2022

Lock-in occurs when the cost or effort of moving away from a particular choice (platform, vendor) outweighs the benefit of doing so, even if that choice is good for the business overall. The pain of moving is simply too great to consider doing it.

whitePaper | June 8, 2023

The importance of data in achieving successful business outcomes cannot be emphasized enough in this digital era. Businesses in recent times have embarked on digital transformation as they strive to keep existing customers happy while creating opportunities for new ones. It is worth noting that investments in data related concepts have soared, making data concepts such as data analytics, machine learning, interpretation of structured and unstructured data highly prevalent as these enable fast decision making for business agility.

whitePaper | November 15, 2019

The potential of artificial intelligence to transform business performance is only now starting to be more widely understood in Financial Services. This is nowhere clearer than in the security domain, where the fusion of big data, advanced analytics and machine learning holds out the promise of startling improvements in cyber defenses through the introduction of Prescriptive Security.

whitePaper | January 11, 2023

There used to be a time when purchase decisions were based on recommendations of the neighborhood grocery manager. Today, these purchase decisions are driven by technology, bringing together the collective wisdom of consumers of the same product from across the world.

whitePaper | December 8, 2022

HPE DMF v7 policies can be configured to migrate and store copies of both new and updated files in the capacity tier at specific intervals or after certain periods of file change inactivity. This effectively implements a high-quality, granular backup of a very large filesystem. DMF will automatically make backup copies of files and metadata on a rolling basis using policy definitions that can be tailored by administrators.

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.