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Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance

This whitepaper from Imply Data Inc. explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.

insideBIGDATA Latest News – 1/20/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance

This whitepaper from Imply Data Inc. introduces Apache Druid and explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.

Introducing Apache Druid

Sponsored Post Apache Druid was invented to address the lack of a data store optimized for real-time analytics. Druid combines the best of real-time streaming analytics and multidimensional OLAP with the scale-out storage and computing principles of Hadoop to deliver ad hoc, search and time-based analytics against live data with sub-second end-to-end response times. Today, […]

Introducing Apache Druid

This whitepaper provides an introduction to Apache Druid, including its evolution,
core architecture and features, and common use cases. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows.

Protecting Big Data and the need for Data Centric Security

In this special guest feature, Warren Poschman, a Solutions Architect at comforte, discusses how big data analytics can be incredibly insightful and valuable to any enterprise. What some are not aware of is every new data stream created is potentially a new attack vector for organizations to defend against. Historically, organizations have had to choose between security or analytics, but with the advent of strict data privacy and protection regulations, the choice has been removed out of the equation. comforte is a leading provider of enterprise data security and digital payments.

The Future of the DBMS Market Is Cloud

This Gartner whitepaper, sponsored by Striim, offers a glimpse for where databases are headed: “The Future of the DBMS Market Is Cloud.” Database management system deployments and innovations are increasingly cloud-first or cloud-only. Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.

DDN Expands Data Management Capabilities and Launches New Range of Platforms for AI and HPC

DDN®, a global leader in artificial intelligence (AI) and multicloud data management, announced new infrastructure and multicloud solutions. DDN announced the next generation of SFA® platforms, new data management features of its EXAScaler® “EXA5” file solution, which will be generally available over the next two calendar quarters.

Computational Storage Reinvigorates Storage in a Novel Way

In this special guest feature, Scott Shadley, VP at NGD Systems, discusses the SNIA Computational Storage (CS) working group’s technical progress since its inception and how they plan to make computational storage mainstream over the next year. The group just finished a long, painstaking process to establish formal definitions and terminology to properly categorize and standardize computational storage technologies. This work was done by the body’s over 40 participating companies and 148 individual members.

“Above the Trend Line” – Your Industry Rumor Central for 11/11/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.