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Reading Time: 4 minutesWhat do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 4 minutesThese days, artificial intelligence (AI) and machine learning (ML) seem to be everywhere around us, answering questions, designing components, and even driving cars. Can they also help with data virtualization? For sure. But first, let’s make sure that when we…
Reading Time: 4 minutesIn many businesses today, data complexity is already a challenge with more and more data stores both on-premises and in the cloud as well as thousands of possible data sources. The days of just having a data warehouse and some…
Reading Time: 3 minutesWith data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. However, with…
Reading Time: 3 minutesBusinesses are drowning in data, making it difficult to maintain consistency, identify “good” data, or derive valuable insights from it. To stay innovative, businesses have been implementing multi-cloud infrastructures, many of which also incorporate on-premises systems. However, when data is…
Reading Time: 3 minutesMany organizations today have either already created or are in the process of creating a data lake. There are of course multiple configurations of a data lake including: A centralized data lake typically on a single data store such as…
Reading Time: 3 minutesThe recently published The Forrester Wave™: Big Data Fabric, Q2 2018 highlights the need for an integrated infrastructure – the ‘fabric’ – to support your big data. In the headlong rush to create data lakes and other big data architectures, organizations…
Reading Time: 4 minutesRecent studies have shown that data scientists and business users performing self-service data analysis (citizen analysts) spend 80% of their time trying to discover, access, and integrate data. In other articles, I discussed how data virtualization (DV) plays a key role in…
Reading Time: 2 minutesData Scientists hold coveted positions in the analytics arena. We picture them spending most of their time gazing into the data and making predictions, and some of the time preparing the data for analysis. Unfortunately, the reverse seems to be…
Reading Time: 4 minutesIt seems at present there is huge amount of hype on big data and the concept of a data lake related to data virtualisation. Already however there is confusion as to what a data lake is with multiple different definitions…
