real-time

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...


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...


Teespring Real-Time Analytics

How Teespring Enhances its eCommerce Platform with Real-Time Analytics

About Teespring Teespring is revolutionizing retail, giving entrepreneurs the opportunity to build and grow their brands via its ecommerce platform. Teespring makes it easy for anyone to create and sell high-quality products people love, with no cost or risk. Since 2012, Teespring has shipped more than fifteen million products around the world. Understanding Real-Time Buyer Activity Teespring was growing its community at a rapid pace. To further this growth, they wanted to connect vendors with...