real-time

big data changing

From Big to Now: The Changing Face of Data

Data is changing. You knew that. But the dialog over the past 10 years around big data and Hadoop is rapidly moving to data and real-time. We have tackled how to capture big data at scale. We can thank the Hadoop Distributed File System for that, as well as cloud object stores like AWS S3. But we have not yet tackled the instant results part of big data. For that we need more. But first, some history. Turning Point for the Traditional Data Warehouse Internet scale workloads that emerged in the...


ml facial recognition

Machines and the Magic of Fast Learning (Strata Keynote Recording)

How can big data and machine learning be used for good? In our keynote at Strata+Hadoop World, MemSQL CEO Eric Frenkiel shared how we are working with Thorn to provide a new approach to machine learning and real-time image recognition to combat child exploitation. About Thorn Thorn partners across the technology companies and government organizations to combat predatory behavior, rescue victims, and protect vulnerable children. Thorn has to sift through a massive amount of images daily. Images...


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...


How to Move Analytics to Real Time

How to Move Analytics to Real-Time

3x Spend Increase “Between 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics.” Every organization uses some form of analytics to monitor and improve their business. The growth of data has increased the impact of analytics and is a critical ingredient for delivering a successful digital business strategy. Companies are using more real-time analytics, because of the pressure to increase the speed and accuracy of...


451 Research Webcast: In-Memory Computing Market Predictions 2017

Adoption of in-memory technology solutions is happening faster than ever. This stems from a three pronged demand – first, a greater number of users, analysts, and businesses need access to data. Second, the number of transactions is increasing globally, so companies need faster ingest and analytics engines. Finally, performance inconsistencies are the nail in the coffin for companies competing in the on-demand economy – these enterprises need the responsiveness in-memory technology...


The State of Real Time for Property Insurers

The State of Real Time for Property and Casualty Insurers

In some industries, a hesitance remains in recognizing the commodification forces of real-time solutions. These industries often rely on orthodox tenets as barriers to marketplace entry, such as regulatory compliance, traditional value propositions, brand recognition, and market penetration. The term “ripe for disruption” often characterizes these industries and their respective leaders. Arguably, an illustrative industry in the midst of responding to commodification, adapting to real-time...


Everything We’ve Known About Data Movement Has Been Wrong

Data movement remains a perennial obstacle in systems design. Many talented architects and engineers spend significant amounts of time working on data movement, often in the form of batch Extract, Transform, and Load (ETL). In general, batch ETL is the process everyone loves to hate, or put another way, I’ve never met an engineer happy with their batch ETL setup. In this post, we’ll look at the shift from batch to real time, the new topologies required to keep up with data flows, and the...


smart-meter

MemSQL Manages Smart Meter Data with Leading Gas and Electric Utility Enterprise

Smart gas and electric meters produce huge volumes of data. A small MemSQL cluster of 5 nodes easily handles massive quantities of data like the workloads from leading gas and electric utility enterprises. In one particular use case, over 200,000 meter readings per second load into the MemSQL database while users simultaneously process queries against that data. Millions of meters sending between 10 and 30 sensor readings every hour leading to billions of rows of data. Just an initial part of a...


real-time insights

Global Pulse of Real-Time Data: 16 Definitive Insights

Each morning, millions of individuals wake up to emails sent throughout the night, text messages, Facebook notifications, and reminders that we are only 1,000 steps away from hitting our weekly goal. And though we might bemoan the occasional alert reminding us to pay our rent or hit the gym, the truth is we live in a real-time world where technology has evolved to effortlessly guide us through every aspect of our day. So how do enterprises deliver seamless experiences to millions of consumers in...


Real-Time Roadshow Rolls into Phoenix, Arizona

We’re packing our bags and heading to the Southwest to kick off the first ever MemSQL Real-Time Roadshow! Healthcare, education, aerospace, finance, technology, and other industries play a vital role in Phoenix, home to leading corporations like Honeywell, JP Morgan, AIG, American Express, Avnet, and UnitedHealth Group. Businesses in these industries face the constant challenge of keeping up with the high expectations of users and consumers that demand personalized and immediate services. To...