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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 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…
Reading Time: 3 minutes By Barry Devlin “I want it all, and I want it now,” sang Freddie Mercury in “I Want It All.” Today’s businesspeople, it turns out, feel just the same way. The pace of business has ramped up dramatically over the…
Reading Time: 3 minutes In the Bronze age, recycling became large-scale, opening the doors to cross-border trade and collaboration across nations. Unwanted bronze implements were melted down and poured into a mold to make new implements, and thus the manufacturing technology of the bronze…
Reading Time: 6 minutes Across all vertical markets, organizations adopt data virtualization as a core part of their IT infrastructure because data is becoming more distributed, more heterogeneous, and larger in volume. The pressures on business to be more competitive are continually growing, so…
Reading Time: 2 minutes We have a certain level of expectation when it comes to driving; we expect the ride to be smooth and comfortable, with the car gliding over road surface irregularities with ease. This is owing to the active suspensions, which controls…
Reading Time: 2 minutes The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. are found coexisting with relational databases to fuel the…
Reading Time: 2 minutes Professional cyclists need to combine training, tactics, and aerodynamic gear to cross the finish line first. The same applies when you consider your data-driven business, only the most agile data management system will see your organization ride to victory. New…
Reading Time: 6 minutes Ok, forgive the hyperbole in the title since data virtualization doesn’t actually have magic powers to keep you safe from getting ticketed by the police. However, in one specific series of incidents that I recently encountered which did involve getting…
