SOURCE: MapR Technologies

April 04, 2016 12:05 ET

MapR to Present on Spark, Security and Streaming Analytic Topics at April Industry Events, Including Big Data Everywhere

SAN JOSE, CA--(Marketwired - Apr 4, 2016) - MapR Technologies, Inc., provider of the industry's only Converged Data Platform, today announced it will share its expertise on Spark, stream processing engines, security, and big data this month at leading industry events. Each event includes presentations aimed at helping attendees understand the technical, business and practical aspects of Hadoop, Spark and related big data technologies.

Predictive Analytics World
Predictive Analytics World is a cross-vendor event for predictive analytics professionals, managers and commercial practitioners.

When: Tuesday, April 5 at 10:30 AM
Where: San Francisco Marriott Marquis, San Francisco CA
What: Anwar Adil, MapR Data Engineer, will present on "Hadoop for Predictive Analytics - A Data Scientist's Secret Weapon Against Malware Threats." During his presentation, Anwar will discuss how to analyze network event data with Apache Hadoop and Apache Spark, and build models that identify normal behavior.

BioIT World
Bio-IT World showcases the myriad of IT and informatics applications and enabling technologies that drive biomedical research, drug discovery & development, and clinical and healthcare initiatives.

When: Wednesday, April 6 at 12:40 PM
Where: Seaport World Trade Center, Boston MA
What: Allen Day, Principal Data Scientist at MapR, will lead a discussion on "Genome Analysis Pipelines, Big Data Style." During his talk, Allen will examine operations common to many bioinformatics pipelines, show how they were implemented in the past, and how they're being re-implemented right now to save time, money, and make new types of analysis possible.

Big Data Everywhere (San Diego, Minneapolis and Chicago)
Big Data Everywhere is a half-day conference focused on Hadoop, Spark and other big data technologies that brings together users and developers to share their experience via technical sessions and user success stories. Industry and technical experts will share their knowledge, share best practices, and discuss use cases and business applications.

When: Tuesday, April 12 at 9:15 AM
Where: Hyatt Regency La Jolla, San Diego, CA
What: Jim Scott, Director, Enterprise Strategy & Architecture at MapR, will present on "Streaming in the Extreme," and will discuss technologies like Kafka that can be used to accomplish, real-time, lossless messaging that works in both single and multiple globally dispersed data centers.

When: Tuesday, April 12 at 12:30 PM
Where: Hyatt Regency La Jolla, San Diego, CA
What: Allen Day, Principal Data Scientist at MapR, presents on "Genome Analysis Pipelines, Big Data Style," and will examine operations common to many bioinformatics pipelines, show how they were implemented in the past, and how they're being re-implemented right now to save time, money, and make new types of analysis possible.

When: Tuesday, April 26 at 9:15 AM
Where: Minneapolis Marriott Southwest, Minnetonka, MN
What: Jim Scott will present on "Streaming in the Extreme," and will discuss technologies like Kafka that can be used to accomplish, real-time, lossless messaging that works in both single and multiple globally dispersed data centers.

When: Thursday, April 28 at 9:15 AM
Where: Union League Club, Chicago, IL
What: Jim Scott will present on "Streaming in the Extreme," and will discuss technologies like Kafka that can be used to accomplish, real-time, lossless messaging that works in both single and multiple globally dispersed data centers.

Additionally, MapR will present on "Everything you always wanted to know about Deep Learning (but were afraid to ask)" at The DFW Data Science Meetup in Addison, TX on April 4 and at The NWA Data Science Meetup in Bentonville, AR on April 5.

About MapR Technologies
MapR provides the industry's only Converged Data Platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that over 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.

Contact Information