Join Us

Lunch & Learn with Systech and MemSQL

11:30am - 1:30pm
June 26, 2019
Systech Solutions, Inc. HQ

Glendale, CA


The pursuit to becoming an insight-driven enterprise continues to put additional new demands on data infrastructure. Business users want data that is integrated in real-time from multiple sources, and there is greater demand for faster and more autonomous access to fit-for-purpose data insights.

Attend this lunchtime session and see how leading organizations are successfully dealing with current database landscape challenges and explore how to transform your infrastructure to achieve new analytic agility.


Check-in and lunch served

Check-in and lunch served

11:30am - 12:00pm

Adaptive Analytics for Modern Enterprises

Adaptive Analytics for Modern Enterprises

Ramki Ranganathan, Practice Head - Advanced Analytics & Cloud, Systech Solutions
Learn how adaptive analytics can address a wide range of data challenges along different information streams that enable data-driven decisions, and drive business value with scalable analytics. At the core of Adaptive Business Strategy, discover 4 key advantages in signal, experimentation, organizational and system for competitive edge.
12:00pm - 12:30pm

New Data Acceleration Strategies for Engineers

New Data Acceleration Strategies for Engineers

Dave Anderson, Principal Solutions Engineer, MemSQL
Learn about new database approaches and architectures used to address slow performing Hadoop, Oracle, and MySQL technologies, and see how the latest innovations can turn sluggish hard to use big data architectures into fast easy to use insights the entire organization can use. See how modern companies in media, communications and high tech are leveraging MemSQL to transform their data infrastructure.
12:30pm - 1:00pm

Q&A and Networking

Q&A and Networking

1:00pm - 1:30pm


Systech Solutions, Inc. HQ

500 North Brand Blvd

19th Floor, Suite 1900

Glendale, CA 91203

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About MemSQL

MemSQL is The Database of NowTM for Modern Applications. Run both transactional and analytical workloads at scale with an integrated, familiar, durable SQL database
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