When Joerg Tewes last worked in the database business, the world was just becoming aware of the possibilities of non-relational data models. Fast forward 20 years, and NoSQL databases are commonplace across all industries, and the biggest transition facing the industry is the move to the cloud. As the recently named CEO of German analytics…
In a turn of events unanticipated by most analysts, young people — Gen Zers and Millennials, in particular — are outpacing older generations in 401(k) contributions. Furthermore, young people are investing earlier than ever, with 31% of Millennials having started investing before turning 21. But with growing investment opportunities for young generations and their unprecedented…
In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become…
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…
In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics…
A semantic layer is a way to represent data so that it can be easily understood by business users, making it easier for them to interpret and use it directly, without a dependence on data engineering teams. Wikipedia defines it as “a business representation of corporate data that helps end users access data autonomously using…
Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029. From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and…
The separation of compute and storage is a bedrock of big data architecture and has enabled nearly infinite scalability in cloud storage. Now a related concept called compute-compute isolation is being introduced to databases used for real-time analytics, with Rockset leading the way. In the early days of the big data revolution, compute and storage…
Natural language processing (NLP) helps computers understand and use human languages. In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science,” which eventually led to natural language processing. From 1906 to 1911, Professor Saussure offered three…
Computer vision technology is a recent entrant in insurance, but it has the potential to revolutionize how insurers process claims, identify fraud, and evaluate risk. Go to Source Author: Indranil Bandyopadhyay
