Apache Hive 3: A New Horizon
mar. 27 novembre à 18:45
The next Paris Future of Data Meetup will be held on November 27th with Meritis. For this event, we will have a special guest, Thejas Nair, who is the Engineering Manager for Hive services at Hortonworks as well as an Apache Hive committer and PMC member. Thejas will present all the new innovations that Apache Hive 3.0 brings and how these can change the future of Big Data analytics! This meetup will be hosted and sponsored by Meritis ( https://meritis.fr/ ). The presentation will be live streamed and recorded as well. A big thanks to Meritis for helping in the organization of this event. Agenda 18h30 - 19h00 : Welcome 19h00 - 20h30 : Apache Hive 3: A New Horizon (presentation in English) 7000 analysts, 80ms average latency, 1PB data. 250k BI queries per hour. On demand deep reporting in the cloud over 100Tb in minutes. Cloud and on-prem, fast, scalable, secure, open source. These are the kind of things Hive 3 is delivering for businesses today. If you want to find out how, come join us for this talk. We will present and demo the new Kafka and Spark integrations, query federation to Druid and RDBMSs, the new BI cache, advances in the transactional system, materialized views, workload management & guardrails, SQL enhancements like surrogate keys, default clauses and more. We will also take a look at the data analytics studio, a tightly integrated visual tool to optimize and enhance your data warehouse. Apache Hive 3 is a tremendous step forward, come find out how it can change analytics for you! Bio:
Thejas Nair leads engineering teams at Hortonworks that are responsible for some of the projects associated with Apache Hive including the ODBC/JDBC server, metadata server and Data Analytics Studio. He also leads the Data Lifecycle Manager project that is responsible for addressing replication, disaster recovery, tiering needs of data along with the associated metadata and security and governance policies. He is a committer and PMC member of Apache Hive and Pig projects and has also been involved in mentoring new projects under incubation at Apache.
He was one of the 24 engineers from the original Hadoop team at Yahoo! spun out to form Hortonworks. He has been working on Apache Hive for more than 7 years. During the 9 years he worked at Yahoo!, he worked on developing solutions for large scale distributed data processing. 20h30 - 21h00 : Cocktail & networking
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