Записки программиста, обо всем и ни о чем. Но, наверное, больше профессионального.

2015-03-30

Access for BigData

Airbnb выпустил свой инструментарий для работы с БигДата, что-то вроде MS Access, пользовательский интерфейс к залежам данных в Hadoop.

Apartment-sharing startup Airbnb has open sourced a tool called Airpal that the company built to give more of its employees access to the data they need for their jobs. Airpal is built atop the Presto SQL engine that Facebook created in order to speed access to data stored in Hadoop.
Airbnb built Airpal about a year ago so that employees across divisions and roles could get fast access to data rather than having to wait for a data analyst or data scientist to run a query for them. According to product manager James Mayfield, it’s designed to make it easier for novices to write SQL queries by giving them access to a visual interface, previews of the data they’re accessing, and the ability to share and reuse queries


A couple years ago, Facebook created and then open sourced Presto as a means to solve Hive’s speed problems. It still accesses data from Hive, but is designed to deliver results at interactive speeds rather than in minutes or, depending on the query, much longer. It also uses standard ANSI SQL, which Kramolisch said is easier to learn than the Hive Query Language and its “lots of hidden gotchas.”




Популярная онлайн-площадка для краткосрочной аренды жилья Airbnb представила свою новую Open Source-разработку Airpal — инструмент для анализа данных, основанный на движке Presto SQL от Facebook.
До сих пор в Airbnb использовалась система управления данными Apache Hive, работающая на платформе Hadoop и довольно сложная в плане использования конечным пользователем. Новый же инструмент — Airpal — имеет графический интерфейс, позволяющий составлять SQL-запросы к базам данных без особых усилий. В его основе лежит PrestoDB — Open Source-проект Facebook, запущенный пару лет тому назад с целью решить проблему с недостаточно высокой производительностью Hive






original post http://vasnake.blogspot.com/2015/03/access-for-bigdata.html

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