Author: Gary Orenstein

Matching Modern Databases with ML and AI

Introduction Machine Learning (ML) and Artificial Intelligence (AI) have stirred the technology sector into a flurry of activity over the past couple of years. However, it is important to remember that it all comes back to data. As Hilary Mason, a prominent data scientist, noted in Harvard Business Review*, …you can’t do AI without machine learning. You also can’t do machine learning without analytics, and you can’t do analytics without data infrastructure. Over the last year we...


Visual Takeaways from Gartner Data and Analytics 2018

We attended the Gartner Data and Analytics Summit in Grapevine, Texas in early March. This series is part of its global events schedule and similar conferences happen around the world. One fun hallway display was a series of animated summaries with key themes, tracks, and sessions of the conference. They were created by Katherine Torrini at Creative Catalyst. The first display covered the primary show themes of scaling the value of data and analytics: – Establishing Trust in the data...


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Just Like IoT, Enterprises Have Been Using AI All Along

Just like IoT, around in various forms for years, AI has been prevalent in nearly every enterprise for decades. The catch? It was hidden inside the databases and data warehouses in use under the banner of Query Optimization. Query optimization is the process where a database or data warehouse takes the input from a user’s question, and reworks that question to deliver a quick response with as few compute resources as possible. The number of query plan choices reach far beyond what a human can...


Using MemSQL within the AWS Ecosystem

The database market is large and filled with many solutions. In this post, we will take a look at what is happening within AWS, the overall data landscape, and how customers can benefit from using MemSQL within the AWS ecosystem. Understanding the AWS Juggernaut At AWS re:Invent in December 2017, AWS CEO Andy Jassy revealed that the business is at a revenue run rate of $18 billion, growing 42 percent per year. Those numbers are staggering and showcase the importance Amazon Web Services now plays...


SELECT 5 from MemSQL Blog in 2017

2017 was a good year for the database market as developers, architects, and business leaders explored what is possible with new platforms. We covered several hot topics on the MemSQL blog including the integration with microservices, recognition by industry analysts, machine learning and image recognition, real-time geospatial analytics, and multi-tenancy in a cloud world. Here are a few of our favorite posts from 2017. MemSQL Meets the Microservices Architecture Link to post Microservices...


MemSQL 6 Product Pillars and Machine Learning Approach

MemSQL 6 Pillars and Machine Learning Approach Want to try MemSQL 6? Click here to get started. Prefer the Release Notes? They are here. Today marks another milestone for MemSQL as we share the details of our latest release, MemSQL 6. This release encapsulates over one year of extensive development to continue making MemSQL the best database platform for real-time analytics with a focus on real-time data warehouse use cases. Additionally, MemSQL 6 brings a range of new machine learning...


Migrating from Traditional Databases to the Cloud

The Current Organizational Data Dilemma Today, many companies have years of investment in traditional databases from Oracle, SAP, IBM, Microsoft and others. Frequently these databases and data warehouses have long outlived their ability to cost-effectively perform and scale. These solutions also offer mixed options when it comes to cloud deployments. Over the past decade, data-driven organizations looked to new methods such as Hadoop and NoSQL to solve data challenges. Hadoop has proven to be a...


Modern Data Warehousing, Meet AI

We are enchanted by the possibility of digital disruption. New computing approaches, from cloud to artificial intelligence and machine learning, promise new business models and untold efficiencies. We are closing the gap between science fiction and business operations. A Quick Look Back Let’s take a quick look back at data processing, and then come back to the industry frontier. It started with data and the place to put it, which became the database. Then came a desire to understand the data...


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The Real-Time Data Warehouse for Hybrid Cloud

As companies move to the cloud, the ability to span on-premises and cloud deployments remains a critical enterprise enabler. In this post, we’ll review the basics of a hybrid cloud model for MemSQL deployments to fit conventional and future needs. MemSQL Background MemSQL is a real-time data warehouse optimized for hybrid cloud deployments, and excels at operational use cases. MemSQL users are drawn to the ability to load and persist live data at petabyte scale while simultaneously querying...


AI's Secret Weapon: The Data Corpus

As industries latch on to the rise of machine learning and artificial intelligence, we see firsthand that the key to success is often the data itself. While discussions on the latest algorithms and learning models capture mainstream attention, the real determining factor of a company’s success is its ability to leverage a corpus of data. Recently our CEO Eric Frenkiel delivered a talk on this topic, Machines and the Magic of Fast Learning. The premise was simple, and inspired by a discussion...