MemSQL Demo Videos
Demo: Utility IoT Real-Time Analytics on Helios & Looker
Domenic Ravita, Field CTO of MemSQL, walks us through using memSQL Helios, the managed, cloud-scale database cluster to ingest IoT utility meter data at 1M rows/sec, and highlights the speed of queries in this real-time analytics platform
Demo: MemSQL Scans A Trillion Rows Per Second
Eric Hanson, Principle Product Manager, shows how MemSQL scans a trillion rows per second in a query
Real-Time Analytics at Uber Scale
James Burkhart explains how Uber supports millions of analytical queries daily across real-time data with Apollo. James covers the architectural decisions and lessons learned building an exactly-once ingest pipeline storing raw events across in-memory row storage and on-disk columnar storage and a custom metalanguage and query layer leveraging partial OLAP result set caching and query canonicalization. Putting all the pieces together provides thousands of Uber employees with subsecond p95 latency analytical queries spanning hundreds of millions of recent events.
MemSQL Helios Tour
MemSQL Intro: MemSQL Studio Tour
In this video, we leverage a MemSQL Helios cluster provisioned previously, we login to the MemSQL Customer Portal, open MemSQL Studio Tools, a web-based cluster management tool and SQL Editor, look at the hosts and nodes in the cluster, look at the SQL Editor, and the Visual Explain tool.
MemSQL Intro: Create MemSQL Helios Cluster
In this video we’ll sign up for a free trial MemSQL Helios account, verify our email, login to the MemSQL Customer Portal, provision a free trial MemSQL Helios cluster, and open up MemSQL Studio, the web-based cluster management tool and SQL editor.
MemSQL Intro: Resize MemSQL Helios Cluster
In this video, we discuss nodes and partitions in a MemSQL database, and discuss how carefully matching the partition count and leaf node count avoids data skew, wasted memory in our cluster. We login to the MemSQL Customer Portal, connect to a MemSQL Helios cluster created previously, examine the partitions and nodes, and compute an appropriate new scale. Finally we edit the cluster to achieve the new scale. With the managed MemSQL Helios cluster, there’s no hardware to buy to get additional scale from our cluster.
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