March 12, 2024
Via: DATAVERSITYWhile 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 […]
March 12, 2024
Via: DATAVERSITYData integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate goal of data integration tools is to combine data from a variety of different sources, and […]
January 31, 2024
Via: InfoWorldThe article, Machine learning for Java developers: Algorithms for machine learning, introduced setting up a machine learning algorithm and developing a prediction function in Java. Readers learned the inner workings of a machine learning algorithm and walked through the process […]
December 27, 2023
Via: DATAVERSITYData products are software in the form of specialty tools and apps that are designed to support data used as a service. They may be as simple and straightforward as a program that converts a dataset into a visualization, or […]
December 7, 2023
Via: DATAVERSITYData pipelines are a set of processes that move data from one place to another, typically from the source of data to a storage system. These processes involve data extraction from various sources, transformation to fit business or technical needs, […]
October 25, 2023
Via: DATAVERSITYWe exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the […]
June 19, 2023
Via: DATAVERSITYIn part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline. While this technique is practical for in-database verifications – as tests […]
June 14, 2023
Via: Database Trends and ApplicationsDealing with data and databases is laden with a multitude of challenges, often characterized by the questions, “What happened to my data?” and “Why is this data all wrong?” Whether data is stale or unreliable, the solution lies within the […]
May 26, 2023
Via: DATAVERSITYSuppose you’re in charge of maintaining a large set of data pipelines from cloud storage or streaming data into a data warehouse. How can you ensure that your data meets expectations after every transformation? That’s where data quality testing comes […]
March 2, 2023
Via: DATAVERSITYJust as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in […]
February 13, 2023
Via: DATAVERSITYFor growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having […]