ADV Webinar: Every Database Is Multi-Modal – What Does This Mean to an Enterprise?

Download the slides here>> About the Webinar Today’s enterprises have an unprecedented variety of data store choices to meet the needs of their varied workloads. Because there is no one size fits all when it comes to data stores, this can lead to confusion and chaos.  Enterprises have many needs for databases, including cache, operational, data…

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A Brief History of Data Quality

The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage….

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ADV Webinar: What The? Another Database Model — Vector Databases Explained

Download the slides here>> About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are created using machine learning algorithms and compress the attributes of data into a low-level representation. The process of creating a new embedding…

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Graph Databases: Benefits and Best Practices

Graph databases have improved significantly since the 1990s, with new developments and a better realization of best practices. Graph technology has become one of the most popular methods of performing big data research. Its focus on finding relationships and its flexibility make it ideal for a variety of research projects. An awareness of new developments…

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Mastering Microsoft SQL Server: Analyzing and Optimizing Complex Queries

In the realm of database management, particularly with Microsoft SQL Server, understanding and optimizing complex queries is crucial for maintaining system performance and efficiency. As databases grow and complexity, the queries used to retrieve, update, or manipulate data can become increasingly intricate, potentially leading to slower response times and decreased application performance. This blog post…

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2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data…

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Fundamentals of Document Databases

A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. However, document databases use an index to associate “keys” with “documents,” making them more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale…

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Neo4j Enhances Cloud Database Performance for Faster Analytics and Decision-Making

According to a new press release, Neo4j, a prominent graph database and analytics company, has unveiled significant enhancements to boost the performance of cloud and self-managed customers. These updates promise an increase in the speed of analytical queries, the ability to handle both transactional and analytical processing within a single database, and real-time tracking of…

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Starburst Introduces Python DataFrame Support

According to a new press release, Starburst Data has expanded its data analytics platform by introducing Python DataFrame support through the launch of PyStarburst and integrating the Ibis library. This strategic move, accomplished in collaboration with Voltron Data, empowers developers and data engineers to efficiently manage complex data transformation tasks and build data applications seamlessly…

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ADV Webinar: Understanding the Modern Applications of Graph Databases

  Download the slides here>> About the Webinar Another day, another mind-blowing show of capabilities from the graph database market. Reports feature benchmarks running one trillion relationships where throughput and latency improve linearly with the number of shards that it’s distributed across. There are also demonstrations of a massive knowledge graph that consists of materialized…

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