Machine Learning Facial Recognition

An Engineering View on Real-Time Machine Learning

About Thorn Thorn partners across the tech industry, government and NGOs, leveraging technology to combat predatory behavior, rescue victims, and protect vulnerable children. About Eric Boutin Eric leads an engineering team for MemSQL in our Seattle office. This is background information from Eric on our work with Thorn. How did you first get connected with Thorn? I was introduced to Federico Gomez Suarez, a volunteer working with Thorn, by a common friend. I was impressed by the work Thorn was...


Strata Talks

Five Talks for Solving Big Data Challenges at Strata+Hadoop World

Strata+Hadoop World in San Jose kicks-off next week on March 14, offering data engineers and business intelligence professionals a place to gather and learn about the most challenging problems, engaging use cases, and enticing opportunities in data today. MemSQL will be showcasing real-time data as a vehicle for operationalizing machine-learning, exploring advanced tools including TensorFlow, Apache Spark, and Apache Kafka. We will also be demonstrating the power of machine learning to effect...


Magic Quadrant

Gartner Magic Quadrant for Data Management Solutions for Analytics

The data warehouse as we know it has changed. Growth in data size and complexity, migration to the cloud, and the rise of real-time use cases are forces pushing enterprise organizations to expect more from their data warehouse. Evidence of this trend can be found in the latest Gartner Magic Quadrant Report, which has dropped data warehouse from its title and graduated to Data Management Solutions for Analytics. This change has resulted in an expansion of types of vendors covered, while also...


Faster Data Warehouse Track at Gartner Data and Analytics Summit

Gartner Data and Analytics Summit kicks off next week in Grapevine, TX where MemSQL CTO Nikita Shamgunov will showcase the power of real-time for Chief Data Officers who are faced with transitioning their data warehouse applications to the cloud. Gartner Data and Analytics Summit features 8 tracks that will address top challenges facing data and analytics leaders. MemSQL executives and Gartner Analysts will deliver sessions on the benefits of a faster data warehouse throughout the summit. Our...


Video: Building the Ideal Stack for Real-Time Analytics

Building a real-time application starts with connecting the pieces of your data pipeline. To make fast and informed decisions, organizations need to rapidly ingest application data, transform it into a digestible format, store it, and make it easily accessible. All at sub-second speed. A typical real-time data pipeline is architected as follows: Application data is ingested through a distributed messaging system to capture and publish feeds. A transformation tier is called to distill...


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...


Amazon S3 Real-Time Analytics

Turning Amazon S3 Into a Real-Time Analytics Pipeline

MemSQL 5.7 introduces a new pipeline extractor for Amazon Simple Storage Service (S3). Many modern applications interface with Amazon S3 to store data objects into buckets up to 5TB providing a new modern approach for today’s enterprise data lake. Without analytics, the data is just a bunch of files For modern enterprise data warehouses, the challenge is to harness the unlimited nature of S3 for ad-hoc and real-time analytics. For traditional data warehouse applications, extracting data from...


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...


Spark Summit Boston

MemSQL at Spark Summit East 2017

Last week we announced the release of the MemSQL Spark 2 Connector with support for both Apache Spark 2.0 and 2.1. At Spark Summit Boston East 2017 next week we will showcase our new connector that operationalizes powerful advanced analytics. February 7-9 John B. Hynes Convention Center 900 Boylston Street, Boston, MA 02115 https://spark-summit.org/east-2017/ MemSQL CTO and Co-founder, Nikita Shamgunov and product manager, Steven Camiña will also deliver the following talks at the conference....


Microservices Architecture

MemSQL Meets the Microservices Architecture

Microservices use distributed computing to isolate and scale application service components, and this is the hot trend for application development. MemSQL sees this trend continuing because of the prolific increase of real-time applications. These applications require deep analytics and a strategy for manageable components delivering speed and scale. Each application service component has its own independent service deployment and flexible data model. The goal is to allow developers to focus on...