real-time

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...


Five Sessions to Attend at Join Conference in San Francisco

Join Conference in San Francisco brings together thousands of companies across the globe that build their businesses with Looker. The developers responsible for this revolution need a place to share their experiences on this journey. This year, Join will offer even more breakout sessions led by Looker subject matter experts and top customers. This informative mixture of lectures, demonstrations, and guest speakers is geared towards keeping attendees informed on technical content, customer...


A Deeper Look at MemSQL Cloud

What’s new with MemSQL? First, we announced the general availability of MemSQL Cloud, our managed service offering. Second, we are fulfilling our plans to be the world’s leading real-time data warehouse. Now Chief Information, Data, and Analytics officers can make a strategic choice for the future: Freedom to choose a managed service for fast execution and convenience Deploy on any public or private cloud Or mitigate expensive appliances with a scale-out on-premises solution Where did the...


MemSQL and Cisco

Cisco UCS and MemSQL: Real-Time Data Warehouse for the Enterprise

Real-time analytics on live data and the ability to analyze data at scale, are key for any digital organization. Acting on insights in the moment helps deliver contextual user experiences, identify new sources of revenue, and prevent costly expenditures. To become a responsive data-driven business, organizations must address current data latency challenges. These challenges are commonly found across three general areas: Three Data Latency Challenges and Solutions Slow data loading: Loading data,...


Data Warehouse Rescue

Seeking a Rescue from a Traditional RDBMS

In the Beginning Years ago, organizations used transactional databases to run analytics. Database administrators struggled to set up and maintain OLAP cubes or tune report queries. Monthly reporting cycles would slow or impact application performance because all the data was in one system. The introduction of custom hardware, appliance-based solutions helped mitigate these issues, and the resulting solutions were transactional databases with column store engines that were fast. Stemming from...


High-Speed Ingest

Guest Post: Real-Time Big Data Ingestion with Meterial

This post originally appeared on the Myntra Engineering Blog. Learn how Myntra gained real-time insights on rapidly growing data using their new processing and reporting framework. Background I got an opportunity to work extensively with big data and analytics in Myntra. Data Driven Intelligence being one of the core values at Myntra, so crunching and processing data and reporting meaningful insights for the company is of utmost importance. Everyday millions of users visit Myntra on our App...