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HDP-HDF Auto Scaling on Azure Using Cloudbreak

José Luis Sánchez Ros
Head of Big Data Operations at Zurich Insurance Company Ltd
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DataWorks Summit Barcelona 2019
March 21 2019, Barcelona, Spain
DataWorks Summit Barcelona 2019
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HDP-HDF Auto Scaling on Azure Using Cloudbreak
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About speakers

Jose Luis has been working with data since the very beginning of his career. For more than 9 years JL has been dealing with small and big data in quite different industries such as banking, utilities, airlines, software...He has been working in the full stack of a Data Engineer starting from pure development roles to operations. He is currently Platform Manager in Zurich at ServiZurich Technology Delivery Center managing a Big Data Plaftorm in order to enable Big Data processing and advanced analytics across the organization.

Distributed systems expert: Spark, HDFS & NoSql, Netezza.

Cloud believer: Azure, Databricks, Google Cloud Platform, Dataflow, Pub/Sub,Big Query, AWS, EMR, Redshift...

Data transformation expert: BI & Big Data.

Speaker @Codemotion2016 + Barcelona Big Data Congress.

Happy father of 3 crazy kids!
Abhishek Sakhuja comes with a rich experience of 8 years in the field of Big Data, Cloud and Data Science Technologies. He has been fostered Hadoop architectural designing and consulted technology solution for different organizations. He has conceptualized process optimization by building customized big data solutions for using Hadoop ecosystem i.e. Hive, Pig, Spark, HBase, MongoDB, Zookeeper, Sqoop, Flume, Ambari and many more.

About the talk

Data-driven technology! That’s where every business is betting their services to expand their approach of being relevant in the market. Cloud services are becoming native solution to host business infrastructure for the economies of scale, scalability and reliability solution. If data is huge and complexity is deepen then Hadoop solution, is considered as one of the top most preferable option. But how Hadoop can deal with a scalable infrastructure solution?

This space was bridged by public cloud service providers to present their managed solution such as AWS EMR and Azure HDInsights. However, with some limitation of customization. Then, how can a business (so, does our client) can achieve a secured, scalable, reliable, cost effective and customizable solution on cloud? The answer is Hortonworks and its acquisition of SequenceIQ for presenting cloud scalable deployment solution with Cloudbreak.

This relevant gap for our client has presented us an opportunity to create an integrated and secured framework of Hortonworks Data platform (HDP) and Hortonworks Data flow (HDF) on Microsoft Azure IaaS using Cloudbreak. So that, it can not only help our clients to make faster business decisions or analytics but also to achieve economies of scale with highly scalable infrastructure solution.

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