Businesses are using AI, predictive analytics, and other advanced tools to gather more data than ever before with the hopes of gathering a deeper understanding of their environment, identifying patterns, and making more informed strategic decisions. However, companies often rely on traditional relational databases to store and manage their data. These systems often lack the…
Businesses are using AI, predictive analytics, and other advanced tools to gather more data than ever before with the hopes of gathering a deeper understanding of their environment, identifying patterns, and making more informed strategic decisions. However, companies often rely on traditional relational databases to store and manage their data. These systems often lack the…
Couchbase says the new column store that it officially launched today on AWS will streamline analytics on “dormant” JSON data residing in its NoSQL database. The company also launched vector search capabilities in the mobile version of its database and the new free tier in the cloud. Couchbase historically sought to split the difference between…
EnterpriseDB next month is expected to formally launch a new lakehouse that puts Postgres at the center of analytics workflows, with an eye toward future AI workflows. Currently codenamed Project Beacon, EDB’s new data lakehouse stack will utilize object storage, an open table format, and query accelerators to enable customers to query data through their…
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two…
While early science fiction shows like “Buck Rogers” (1939) and “The Fly” (1950) depicted teleportation technology, it was Star Trek’s transporter room that made real-time living matter transfer a classical sci-fi trope. While we haven’t built technology that enables real-time matter transfer yet, modern science is pursuing concepts like superposition and quantum teleportation to facilitate information transfer across any distance…
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…
Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems…
Let’s talk about an inconvenient truth: For the typical business, data reporting has a tendency to fall short of producing the desired outcomes. Despite the significant resources that organizations often invest in producing data reports – and in the data collection, governance, and analytics processes that happen prior to reporting – the people who actually…
Everybody wants to be data-driven–that much is clear. But that desire doesn’t necessarily translate into real business results, especially in competitive industries like ecommerce. Data quality has long been a burr in the side of would-be data champions. The need to cleanse and normalize dirty and inconsistent data often consumes the lion’s share of the…
