This talk explores the Netflix Data Science & Engineering architecture. Not just the what, but also the why. Some key topics include the big data technologies we leverage (Cassandra, Hadoop, Pig + Python, and Hive), our use of Amazon S3 as our central data hub, our use of multiple persistent …
Is data management important for you? Do you need to store, manage and distribute data and make your system communicate with other embedded systems and smart devices? The fast-paced world of IT is always in motion. Every day, more and more businesses – from the smallest to Fortune 500 corporations …
In this presentation, Miles Pomeroy, Chad Maughan and Jonathan Geddes present in five minutes each of the following databases: Postgres, CouchDB, MarkLogic, Riak, VoltDB, MongoDB, Neo4j, HBase and Redis.
Unlike relational databases, document databases like CouchDB and MongoDB do not directly support entity relationships. This talk will explore patterns of modeling one-to-many and many-to-many entity relationships in a document database. These patterns include using an embedded JSON array, relating documents using identifiers, using a list of keys, and using …
MySQL users commonly ask: What indexes do I need? Why aren’t my indexes helping me? Don’t indexes cause overhead? This webinar will provide practical, step by step methods for finding the queries you need to optimize and choosing the best indexes for them.
Amazon introduced DynamoDB, a NoSQL database service with seamless, linear scalability in January 2012. How can we neatly integrate it in Python applications and address its shortcomings?
