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Go Beyond Legacy Data with Change Data Capture, MemSQL, and Real-Time Applications

Data is driving innovative customer experiences, operation optimization, and new revenue streams. Data infrastructure teams are being asked to update their legacy infrastructure to respond to changing business conditions without disrupting existing operations. The future of data management is modernizing legacy systems using real-time data synchronization with modern databases that can accelerate innovation without impacting existing applications. The Challenge of Legacy Systems A constant...


A Brief Introduction to MemSQL

A Brief Introduction to MemSQL

We know choosing or evaluating a new database technology can be challenging due to the variety of choices available. In a recent webcast, we shared various use cases businesses face with traditional database and data warehouse technologies, key differentiators and architectures of MemSQL, sample applications and customer case studies, and a quick demo of MemSQL. MemSQL provides an adaptable database for real-time applications that unite transactions and analytics in a single high-performance...


Data Warehouses and the Flying Car Dilemma

Traditional data warehouses and databases were built for workloads that manifested 20 years ago. They are sufficient for what they were built to do, but these systems are struggling to meet the demands of modern business with the volume, velocity, and user demand of data. IT departments are being challenged from both ends. On one side, companies want to analyze the deluge of data in real time, or near real time. On the other side, on the consumption end, the need to analyze and get value out of...


Video: Delivering Real-Time Feedback Loops for Education

At Strata Data Conference in September, David Mellor, VP and Chief Architect at Curriculum Associates, showed how the company creates real-time feedback loops for students and educators. David covered how to build a real-time application with MemSQL, and how his team architected a combination of data workflows for actively updating data, such as student activity through online lessons and diagnostics. One workflow relies on in-memory processing to serve responses in under 200 milliseconds. The...


Five Sessions to Attend at AWS re:Invent 2017

Amazon will finish an exciting year by bringing together thousands of people to connect, collaborate, and learn at AWS re:Invent from November 27 – December 1 in Las Vegas. Whether you are a cloud beginner or an experienced user, you will learn something new at AWS re:Invent. This event is designed to educate attendees about the AWS platform, and help develop the skills to design, deploy, and operate infrastructure and applications. MemSQL is exhibiting in the Venetian Sands Expo Hall, so...


Data Warehouse in the Age of AI Maturity

The MemSQL maturity framework for data warehousing in the age of artificial intelligence depicts the journey of digital transformation. Caption: Data Warehouse in the Age of AI Maturity Framework by MemSQL. Consisting of three epics and seven maturation stages that symbolize increasing strategic value, the framework outlines the transformation from descriptive analytics to predictive analytics to prescriptive analytics for modern organizations and enterprises.   In this blog post, we...


Why You Need a Real-Time Data Warehouse for IoT Applications

As always-on devices and sensors proliferate, the data emitted from these devices provides meaningful insights to improve customer experiences, optimize costs, and identify new revenue opportunities. In a recent report, Taking the Pulse of Enterprise IoT from McKinsey & Company, 48 percent of respondents cited “managing data” as a critical capability gap related to their IoT initiatives.1 The data infrastructure behind IoT applications requires a high performing and easy-to-access...


Secure Real-Time Mission-Critical Analytics

Data today moves in extremely large volumes at light speed all while requiring high levels of protection on the content. Traditional database and data warehouse technologies are unable to handle these workloads without the need for expensive hardware appliances. The NoSQL and Hadoop-based systems are very complex and unable to support real-time analysis. A new way to process fast-moving, structured content is needed to achieve this level of scale and security. Why not a highly secure and extreme...


Delivering Scalable Self-Service Analytics

Within 48 hours of launching Google Analytics as a free product, virtually all of Google’s servers crashed. Eric Schmidt called this Google’s “most successful disaster.” Why would a free product, whose hardware requirements melted down a datacenter, be worth it? Wesley Chan, the creator of Google Analytics, later said that, “Google Analytics generates about three billion dollars in extra revenue,” as noted in Steven Levy’s book, In The Plex. Google Analytics allowed Google’s...


Image Recognition at the Speed of Memory Bandwidth

MemSQL is a real-time data warehouse and a perfect system for large scale operational analytics. MemSQL provides millisecond response times for analytical queries and is a part of the critical path for real-time applications. We often hear from our customers that they want to do various types of artificial intelligence (AI) and machine learning (ML) model evaluations for IoT data, as well as imagery, in real time. A good example of this is when you need to find similar images in a large corpus...