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Month: November 2022
Data is everywhere; it is something that we all rely on. It is used by individuals and large organizations that collect and store hundreds of files a day. While a Virtual machine backup is an excellent solution to keeping data and user credentials safe, it could use a bit of updating. That is what I … Continue reading Data Backup and VM Modernization: How-to Guide
Initially referring to various types of such big data management services, Big Data as a Service (BDaaS) has evolved into a booming market with solutions aiming to bring the power of big data analytics to a broader number of organizations and functions across several industries. SaaS companies need a new approach to big data in … Continue reading 3 SaaS Big Data Trends You Need to Know About
Introduction You have a lot on your plate as a startup or emerging business. You’re trying to build the right product, grow your user base, and keep your existing customers happy. You’ve got a lot of moving parts that all need attention at once-but few are as important as acquiring and retaining customers. As Sam … Continue reading Data-Driven Startup Growth with Performance Marketing
Public infrastructure, transport, communication, business, government, finance, and healthcare depend on the synergy and stable functioning of IT environments at all levels. A single disruption in a link of IT processes may cause the entire system to fail, resulting in service unavailability. The downtime of banks and public institutions, for instance, leads to significant inconveniences … Continue reading Digital Threats and Countermeasures: How Close are We to a Cyberwar?
Data’s Backward-Looking Lens – Usefulness Versus Reliance In 2011, ailing US retailer JCPenney recruited Ron Johnson as CEO, the former president of Apple’s retail operations, who is credited with pioneering the concept of the Apple Store. Johnson arrived at JCPenney intent on reinventing the brand and boosting sales. He implemented a broad refurbishment program, creating … Continue reading How Reliable is Big Data in a Constantly Changing, Unpredictable World?
Data is a vital element in business decision-making. Modern technologies and algorithms allow for processing and storage of huge amounts of data, converting it into useful predictions and insights. But they also require high-quality data to ensure prediction accuracy and insight value. In today’s world, the importance of data quality validation is hard to overestimate. … Continue reading Assuring Data Quality: How to Build a Serverless Data Quality Gate on AWS
For data teams, bad data, broken data pipelines, stale dashboards, and 5 a.m. fire drills are par for the course, particularly as data workflows ingest more and more data from disparate sources. Drawing inspiration from software development, we call this phenomenon data downtime– but how can data teams proactively prevent bad data from striking in … Continue reading 5 Strategies For Stopping Bad Data In It’s Tracks
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