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Reading Time: 3 minutes Organizations all over the world are migrating their IT infrastructures and applications to the cloud. Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of…
Reading Time: 2 minutes Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data architectures is the…
Reading Time: 5 minutes Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every…
Reading Time: 5 minutes We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and…
Reading Time: 4 minutes With the advent of digital transformation, the fluidity of data has evolved from slowly changing dimensions to frequently changing data sources and systems. Data pipes have not only become fat and fast, they have also become varied and diverse in…
Reading Time: 4 minutes There is a common saying in entrepreneurial circles that goes, “During a gold rush, sell shovels.” The origin of this saying dates back to the California Gold Rush of the mid 1800s, in which thousands of gold prospectors across the…
Reading Time: 3 minutes The star of SnowflakeDB keeps rising. This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, end-to-end encryption, cloud platform independency, a self-driving engine, automatic scalability (up or down),…
Reading Time: 4 minutes What 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: 3 minutes Plastics Between Challenge and Opportunity K 2019, which took place end of October this year in Dusseldorf, is a gigantic trade fair for the plastics industry. If you were a data anthropologist, you would not merely visit to smell the…
Reading Time: 3 minutes Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of reporting and analytics tools. Both do so without the need to store…
