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Data Governance and Serverless Computing

Some of the latest buzz in the big data world is centered around the complexity of on-premises, Hadoop technology implementation, and so enterprises are getting restless and moving to the cloud. In an increasingly cloud-friendly business landscape, serverless computing may hold more promise than retrofitting Hadoop. More and more global businesses are moving to the […]

Data Fabric Use Cases

Data  is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” A data fabric offers a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and a […]

Fundamentals of Machine Learning Enabled Analytics

The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]

Evaluating Enterprise Data Literacy

Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Kasey Panetta, Gartner’s brand content manager, defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and […]

The Fundamentals of Deep Reinforcement Learning

Reinforcement Learning (RL), a “niche” Machine Learning technique, has surfaced in the last five years. In context-based decision making, Reinforcement Learning helps the machine take action-provoking decision making through a trial-and-error approach to achieve the optimal algorithmic model for a situation. Furthermore, the machine is trained through a reward/penalty-based feedback mechanism, the goal of which […]

The Future of Data Engineering

A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]

Data Virtualization Use Cases

Data virtualization, in a nutshell, utilizes data integration without replication. In this process, a single “virtual” data layer is created to provide data services to multiple users and applications at the same time. Why Data Virtualization Is a Necessity for Enterprises explains how data virtualization helps tackle data movement challenges by making a virtual dataset […]

Deep Learning and Analytics: What is the Intersection?

Emergent artificial intelligence (AI) technologies, especially the automated algorithms populating analytics platforms, are impacting and reshaping the world of business analytics. The underlying connections between traditional analytics processes and the disruptive technologies will make you cheer if you happen to be a data scientist or a business analyst — because your redefined role in the […]

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