machine learning

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...


2018 Outlook: Machine Learning and Artificial Intelligence

Recently, MemSQL commissioned a survey with O’Reilly Media to learn more about the adoption of artificial intelligence (AI) and machine learning (ML) in the workplace. According to the survey of over 1,600 respondents, 61 percent of respondents, regardless of company size, indicated ML and AI as their companies’ most significant data initiative for next year, when asked to pick from several options likely to be important concerns in today’s climate. With big data and business analytics...


Machine Learning and MemSQL

What is Machine Learning? Machine learning (ML) is a method of analyzing data using an analytical model that is built automatically, or “learned”, from training data. The idea is that the model gets better as you feed it more data points, enabling your algorithm to automatically get better over time.   Machine learning has two distinct steps, training, and operationalization. Training takes a data set you know a lot about (known as a training set), then explores the data set to find...


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...


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...


Durable Storage for Real-Time Analytics with MemSQL and Spark

Apache Spark has made a name for itself as a powerful data processing engine for transforming large datasets in a swift, distributed manner. After using Spark to complete such transformations, you often want to store your data in a persistent and efficient format for long-term access. The common solution of storing data in HDFS solves the issue of persistence, but suffers efficiency issues as a result of the HDFS disk-based architecture. The MemSQL Spark Connector solves both of these issues by...


machine learning at scale

Video: Scoring Machine Learning Models at Scale

At Strata+Hadoop World, MemSQL Software Engineer, John Bowler shared two ways of making production data pipelines in MemSQL: 1) Using Spark for general purpose computation 2) Through a transform defined in MemSQL pipeline for general purpose computation In the video below, John runs a live demonstration of MemSQL and Apache Spark for entity resolution and fraud detection across a dataset composed of a hundred thousand employees and fifty million customers. John uses MemSQL and writes a Spark job...


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...


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...