In the data economy, data is king. Today, any business – small, medium, or large – thrives on its data assets. The recent trend of offering data-driven insights as a service has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, […]
Using a Data Lake Engine to Provide Self-Service Insights
Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to […]
Data-as-a-Service (DaaS): An Overview
As external data begins to gain importance in business analytics, data assumes a new role in global businesses. Now data is not only an organizational asset, but also a distinct revenue opportunity via data-related services offered under the umbrella term of “Data-as-a-Service” (DaaS). DaaS service providers are either replacing the traditional data analytics services or […]
Rethinking Master Data Management
Click to learn more about author Jeff Kinard. Master Data Management (MDM) is seen as a necessary evil by many organizations. However, most haven’t found an effective method or service to handle it. In the case of asset-heavy industries, the strategies currently deployed are archaic, magnifying the problems. Many organizations overlook and underestimate MDM, and […]
Data Virtualization: An Agile Approach to Data Integration
Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is […]
LexisNexis: Removing the Hype from Big Data
According to a recent press release, “LexisNexis®, a leading provider of information and analytics, has launched Nexis® Data as a Service (DaaS) to help companies power predictive analytics, machine learning and data initiatives to answer business-critical questions. Big data technologies are only as effective as the data that powers them. Organizations that tap into more […]
Data-as-a-Service: Helping Companies Get More Value From Their Data, Faster
Click to learn more about author Kelly Stirman. Roger Magoulas introduced us to the term Big Data back in 2005. Never did we imagine that data was going to increase in volume so fast that the term itself would become almost irrelevant and big data would become just ‘data’. Big Data also brought with itself concepts […]
Dremio Announces the Gandiva Initiative for Apache Arrow
A new press release reports, “Dremio, the Data-as-a-Service Platform company, announced today a new open source initiative for columnar in-memory analytics based on Apache Arrow. The Gandiva Initiative for Apache Arrow leverages the LLVM Project, an open source compiler, to significantly improve the speed and efficiency of performing in-memory analytics using Apache Arrow, making these […]
Qubole Rolls Out Industry’s First Autonomous Data Platform
by Angela Guess According to a new press release, “Qubole, the big data-as-a-service company, today announced the immediate availability of three new products – the Qubole Data Service (QDS) Enterprise Edition, QDS Business Edition and Qubole Cloud Agents – components of the first autonomous data platform designed to address the difficulty enterprises face in scaling […]
Syncsort’s New Change Data Capture Capabilities Extend Leadership in Mainframe Access
by Angela Guess According to a recent press release, “Syncsort, a global leader in data liberation, integrity and integration solutions for next-generation analytics, today announced new capabilities in its unrivaled mainframe data access and integration solution that continuously, quickly and efficiently populates Hadoop data lakes with changes in mainframe data. The new DMX Change Data […]