July 2016 Summaries

The 2016 Gartner Catalyst Conference will take place in San Diego from August 15-18 and feature over 150 sessions on various topics including data centers, data and analytics, security, software, mobility, cloud, digital workplaces, and the Internet of Things. The conference theme is "Architecting the On-Demand Digital Business" and will offer valuable opportunities to hear from leading analysts and industry experts. Key sessions include "From Data to Insight to Action: Building a Modern End-to-End Data Architecture", "Ingesting and Transforming IoT Data in the Cloud: Amazon AWS IoT, Microsoft Azure IoT Hub and IBM Watson IoT Platform", "SingleStore: Real-Time Supply Chain Analytics with Machine Learning, Kafka, and Spark", and more. The conference will also feature workshops and roundtable discussions on topics such as data federation/virtualization, hybrid architectures for cloud computing, and operationalizing predictive and prescriptive models. Visitors can stop by the SingleStore booth to learn about their latest machine learning application and other offerings.

In an era where most goods are digital, consumers need tangible ways to evaluate software products and services. SingleStore showcases its capabilities through various product demonstrations, including PowerStream, Real-Time Analytics at Pinterest, Supercar, Taxistats, and Wikistats, which demonstrate the value of real-time data exploration, geospatial intelligence, and fast analytics on massive datasets, such as wind farm and taxi ride data, Wikipedia trends, and social media interactions. These applications showcase SingleStore's ability to process large amounts of data in real-time, run complex queries, and provide insights in seconds, while also offering significant cost savings over traditional databases like Oracle 12c.

SingleStore recently hosted 20 young women from the Girls Who Code Summer Immersion Program, providing them with exposure to the tech industry and opportunities to network with employees across various teams. The program is part of a larger movement to bridge the gender divide in tech workplaces, as Girls Who Code aims to inspire young women to pursue education and careers in STEM subjects. The event allowed these aspiring female engineers to experience the daily routines and challenges faced by SingleStore employees, including product demonstrations and Q&A sessions with panelists from engineering and business teams. Through this experience, the girls gained valuable insight into working in a tech startup, including advice on preparing for interviews and overcoming industry challenges.

Data normalization is a process of organizing data in a database to minimize redundancy and ensure the highest level of integrity. It involves designing schemas in third normal form, which eliminates update, insertion, and deletion anomalies. Normalization helps ensure that data is not unnecessarily repeated within a database, and inserts, modifications, and deletions only have to happen once in a database. Star schema is an approach of arranging a database into fact tables and dimension tables, often implemented in a denormalized fashion with relaxed normalization rules, but can be combined with normalization for better performance and scalability. SingleStore provides a simple and easy way to achieve a standard data model that leverages the relational capabilities of ANSI SQL, delivering performance and scalability benefits.

At Spark Summit, SingleStore showcased its PowerStream application, which integrates with Apache Spark to process and analyze data from over 2 million sensors on 200,000 wind turbines worldwide. The SingleStore Spark Connector enables tight integration between SingleStore and Spark, allowing users to create DataFrames in Spark backed by SingleStore tables and persist DataFrames to SingleStore for easy storage. Streamliner is another key component that enables real-time ETL pipelines using Spark as a high-level language, allowing customers to write logic for data analytics pipelines and apply it to their SingleStore cluster instantly. PowerStream is an end-to-end pipeline for high-throughput analytics and machine learning, demonstrating how to deploy machine learning models in production and run them on incoming data in real-time.