Enterprises of every size are moving applications and infrastructure to the cloud. Maintaining operational awareness is difficult enough within a single cloud…
Read MoreApplication programming interfaces, or APIs, are a ubiquitous method and de facto standard of communication among modern information technologies. The information ecosystems…
Read MoreThis study examines the full cost and true value of self-managed OSS Apache Cassandra® vs DataStax AstraDB fully managed DBaaS in Google…
Read MoreCompetitive data-driven organizations rely on data-intensive applications to win in the digital service economy. These applications require a robust data tier that can…
Read MoreMLOps is a practice for collaboration between data science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of machine learning…
Read MoreThe fundamental underpinning of an organization is its transactions. They must be done well, with integrity and performance. Not only has transaction…
Read MoreThis report format incorporates a field test/benchmark with a white paper-level paper. The body of the paper provides only a summary of…
Read MoreGrowing data volumes and differences in terminology, language, abbreviations, and even spelling in clinical documents make it challenging for medical professionals to…
Read MoreApplication programming interfaces, or APIs, are a ubiquitous method and de facto standard of communication among modern information technologies. The information ecosystems…
Read MoreThis free 1-hour webinar from GigaOm Research features analyst Jake Dolezal and will focus on comparing Web Application Firewall (WAF) security platforms…
Watch NowData, web, and application security have evolved dramatically over the past few years. Just as new threats abound, the architecture of applications—how…
Read MoreEnterprises from every industry and at every scale are working to leverage data to achieve their strategic objectives—whether those are to become…
Read MoreMLOps is a practice for collaboration between data science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of “machine learning”…
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