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The 6 Types of Data Everybody Should Know to Avoid Confusion

Everybody tosses the word “data,” but few actually know what it actually means and does. MountainTop Data CEO Sky Cassidy explains the 6 different kinds of data everyone should know something about in order to avoid confusion.

Data Platforms – A journey. The Yesteryears, Today, and What Lies Ahead

In this contributed article, Darshan Rawal, Founder and CEO of Isima, explains how the data ecosystem has exploded in the last decade to deal with multi-structured data sources. But the fundamental architecture of using queues, caches, and batches to support Enterprise Data Warehousing and BI hasn’t. This article looks at the architectural styles of the three eras of data management – pre-big data, the open-source revolution, and the cloud-native version. It will be a dive into trade-offs of each and what lies ahead. You’ll get a techno-strategic best practices of architecting data platforms as they pave the path to recovery for your organization.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 6

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 5

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 4

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 3

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Interview: Global Technology Leader PNY

We recently caught up with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.

Why Databases are Failing the Modern Economy

In this contributed article, industry luminary Andrew “Flip” Filipowski discusses the state of database technology in terms of how in spite of the massive increase in demand for data, the industry never underwent a complete overhaul of the way databases work. Instead, programmers have used patchwork retrofitting to adjust databases to modern-day needs, solving problems with countless point solutions instead of rethinking the way databases work from the ground up.

NuoDB 4.0 Expands Cloud-native and Cloud-agnostic Capabilities of Distributed SQL Database

NuoDB, the distributed SQL database company, unveiled NuoDB 4.0, featuring expanded cloud-native and cloud-agnostic capabilities with support for Kubernetes Operators and Google Cloud and Azure public clouds. This includes the recently announced Kubernetes Operator to simplify and automate database deployments in Red Hat OpenShift.

MariaDB’s “Restful Nights” Release Brings Peace of Mind to Enterprise Customers

MariaDB® Corporation announced the release of MariaDB Enterprise Server 10.4, code named “Restful Nights” for the peace of mind it brings enterprise customers. Databases are the backbone of critical business services used everyday. A database failure can result in sleepless nights for everyone involved. The new MariaDB Enterprise Server includes added functionality for enterprises running MariaDB at scale in production environments, involves new levels of testing and is shipped in a configuration that is secure by default. It delivers the highest standards of security, performance, availability and scalability – turning sleeplessness into restful nights.