The Case for Advanced Analytics
Data Intensity

The Case for Advanced Analytics

Analytics is trending like never before. And with good reason. Organizations spanning multiple markets – from finance to energy, as well as retail, ecommerce, and media and communications – recognize the ability to quickly apply actionable insights using real-time analytics as a game-changer. Simply put, anticipating and adapting to rapidly evolving market dynamics as they occur is now a competitive imperative. How Advanced Analytics Drives Critical Success According to a recent Gartner report titled How Data Science Teams Leverage Advanced Analytics, “More than 50% of the surveyed users reported that senior executives see advanced analytics as critical to the organization’s success.” The report goes on to add, “Growing pains aside, more organizations are investigating potential applications for advanced analytics than ever before. Gartner’s inquiries on the topic nearly doubled from January 2014 to January 2015, and are projected to grow 26% year over year in 2016.”1 Choosing the Right Advanced Analytics Vendor
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MemEx: Predictive Analytics for Global Supply Chain Management
Data Intensity

MemEx: Predictive Analytics for Global Supply Chain Management

The Internet of Things (IoT) produces staggering amounts of data daily. Real-time analysis of this data helps businesses address the demands of consumers in today’s always-on economy. Supply chain management exemplifies IoT impact on manufacturing industries. With a multitude of moving parts like vehicles, shipping containers, and packages functioning as sources of data, companies need more advanced methods for ingesting and analyzing IoT data.
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The Emergence of Operational Data Warehouses
Data Intensity

The Emergence of Operational Data Warehouses

Last month, we announced that SingleStore received the highest score in the Gartner Critical Capabilities Report for the “Operational Data Warehouse Use Case”. While the findings Gartner shared are gratifying, this deserves a bit of a deeper dive. For starters, let’s examine how Gartner defines an Operational Data Warehouse: “This use case manages structured data that is loaded continuously in support of embedded analytics in applications, real-time data warehousing, and operational data stores. This use case primarily supports reporting and automated queries to support operational needs, and will require high-availability and disaster recovery capabilities to meet operational needs. Managing different types of users or workloads, such as ad hoc querying and mining, will be of less importance as the major driver is to meet operational excellence.” In light of these observations, we expect the adoption rates for Operational Data Warehouses to climb rapidly. Several megatrends point directly to a growing need for Operational Data Warehouses that take full advantage of real-time transaction processing and big data analytics in an in-memory optimized architecture. Take the explosive global sensor market that BCC Research predicts will reach \$154.4 billion by 2020. Image, flow, level, biosensor and chemical sensors will generate a data deluge of information across a wide range of parameters. Organizations that can efficiently analyze these data flows in real time to adapt to constantly changing market conditions will be at a distinct advantage over their competitors who do not possess this capability.
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Connect Directly to SingleStore with Tableau 10
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Connect Directly to SingleStore with Tableau 10

This post originally appeared in Tableau News by Arthur Gyldenege.
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Girls Who Code Meet the Women of SingleStore
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Girls Who Code Meet the Women of SingleStore

Last week, SingleStore hosted 20 young women from the Girls Who Code Summer Immersion Program. Over the course of 7 weeks, the group visits some of the Bay Area’s hottest tech companies to gain exposure to the tech industry. These aspiring female engineers, programmers, and future tech leaders are a part of a greater movement to bridge the gender divide in tech workplaces. Girls Who Code is a non-profit organization founded in 2012 dedicated to inspiring young women to pursue education and careers in STEM subjects – Science, Technology, Engineering, and Math. They are building the largest pipeline of female engineers in the United States, and their rapid expansion since genesis reinforces their mission. Beginning with just 20 girls in New York, today Girls Who Code is going strong with 10,000 girls across 42 states.
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SingleStore Guide to Spark Summit 2016
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SingleStore Guide to Spark Summit 2016

Spark Summit 2016 kicks off this week with more than 90 sessions and five tracks to choose from in the heart of San Francisco. The three day marathon of learning, which includes an entire day dedicated to Spark Training, attracts more than 2,500 engineers, business professionals, scientists, and analytic enthusiasts from across the country. https://spark-summit.org/2016 Hilton San Francisco 333 O’Farrell St, San Francisco, CA 94102 USA Throughout the show, speakers will address the different ways that companies are leveraging Spark and emergent ecosystems that have developed from new user needs.
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