Tokutek Founders to Speak at Big Data Techcon San Francisco
Interactive, Half-Day Session to Explore Data Structures and Algorithms for Big Databases
(firmenpresse) - LEXINGTON, MA -- (Marketwired) -- 10/14/14 -- Tokutek®, delivering , today announced that co-founders Bradley Kuszmaul, research scientist at MIT, and Michael Bender, an associate professor of computer science at Stony Brook University, will co-present a half-day, hands-on session on "Data Structures and Algorithms for Big Databases," on Monday, October 27, at BigData TechCon San Francisco.
Monday, 27 October, 2014
1:15 to 5:00 p.m.
Hyatt Regency in Burlingame, CA.
This tutorial will explore data structures and algorithms for big databases. The topics include:
Data structures including B-trees, Log Structured Merge Trees, Streaming B-trees, and Fractal Trees,
Bloom filters and bloom filter alternatives designed for SSDs,
Index design, including covering indexes,
Getting good performance in memory,
Cache efficiency including both cache-aware and cache-oblivious data structures and algorithms.
These algorithms and data structures are used both in NoSQL implementations such as HBase, LevelDB, MongoDB, and TokuMX, and in SQL-oriented implementations such as MySQL and TokuDB. This session will explain the underlying data structures and algorithms that drive big databases. There will also be an emphasis on write-optimized data structures, such as Log Structured Merge Trees or Fractal Trees.
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Tokutek is a performance database company that delivers Big Data capabilities to leading open source data management platforms. Its breakthrough technology lets customers build a new class of applications that handle unprecedented amounts of incoming data and scale with the data processing needs of tomorrow. Tokutek applies Fractal Tree® indexing to increase and , decrease database size, and minimize downtime. The company is headquartered in Lexington, MA, and has offices in New York, NY. For more information, visit Tokutek.com or follow us on Twitter .
Contact
Joan Geoghegan
Cavalier Communications LLC
978-371-3921
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Datum: 14.10.2014 - 13:00 Uhr
Sprache: Deutsch
News-ID 343765
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