September 2017 Summaries

SingleStoreDB Self-Managed 6 has been released, marking a significant milestone in the development of the SingleStore database platform. This release includes extensive improvements to extensibility, query performance, and online operations, enabling powerful custom processing through stored procedures, user-defined functions, and user-defined aggregates. The new version also features breakthroughs in query processing, including dictionary encoding and SIMD advancements, allowing for incredibly fast scans and interactive analysis on raw data. Additionally, SingleStoreDB Self-Managed 6 enhances online operations with more sophisticated monitoring and recovery, easier application development, and improved overall availability. The release includes built-in machine learning functions, real-time machine learning scoring, and the ability to enable machine learning directly in SQL through extensibility, making it well-suited for real-time data pipelines and other machine learning systems.

The Strata Data Conference in New York brings together thousands of companies that rely on data to build their businesses. The conference features breakout sessions led by experts, including presentations on geospatial big data analysis at Uber and building advanced analytics and deep learning on Apache Spark with BigDL. SingleStore is exhibiting at the event, offering demos and expert advice. Sessions also cover topics such as managing machine-learned models in production, exploring the everyday implications of increasing access to personal data, and executive briefings on machine learning.

Join Conference in San Francisco brings together thousands of companies using Looker, a platform for building businesses. The event offers breakout sessions led by Looker subject matter experts and top customers, focusing on technical content, customer stories, and new launch announcements. SingleStore will be exhibiting at the Sponsor Expo, showcasing its capabilities and expertise. Attendees can look forward to informative sessions such as "Driving Adoption — Tips, Tricks & Everything in Between," where professionals share their experiences with releasing Looker to teams of end-users, and "How Blue Apron Managed Rapid Growth with Looker and Google BigQuery," which showcases the company's success with data analysis and performance optimization.

The current organizational data dilemma revolves around the need for modern, scalable solutions that can handle years of investment in traditional databases and data warehouses. These legacy systems often face challenges such as high costs, performance issues, and limited cloud deployment options. In response, organizations are looking to new methods like Hadoop and NoSQL, but these alternatives have their own limitations. The solution lies in a modern, scalable database that can seamlessly deploy flexible data architectures across all workloads, including the cloud. SingleStore is an example of such a solution, offering a distributed, memory-optimized architecture that can handle high-performance requirements, real-time analytics, and secure data management. By assessing existing infrastructure, planning migration strategies, and using SingleStore as a bridge to new solutions, organizations can overcome the current data dilemma and achieve a more agile, cost-effective, and scalable data ecosystem.