Webinar with Talena: Migrate open source big data applications to HDInsight, add backup & restore to your existing apps running on Apache Hadoop & Spark
“Are you building Big data applications using open source platforms such as Apache Hadoop or Spark, but unsure of how to add cloud to your architecture and manage your data assets better?” Join me for a webinar on June 29th, 2017 at 10am PST with Hari (CTO of Talena) as we explore how Talena can help customers migrate their big data applications to HDInsight and manage their data assets better to increase their resiliency against any accidental data loss due to user input.
As Big Data space has matured, the size of data being managed is increasing rapidly. Customers today are increasingly looking at adding cloud as a key component of their architecture. HDInsight is the only fully-managed cloud Hadoop offering that provides optimized open source analytical clusters for Spark, Hive, Interactive Hive, MapReduce, HBase, Storm, Kafka, and R Server backed by a 99.9% SLA.This elasticity of the cloud would allow customers to rapidly innovate in the cloud using a variety of technologies. Customers can start small, experiment and scale on demand as need.
Talena’s data management solution allows users to set-up a hybrid architecture where the data and the metadata associated with different workloads such as Apache Hive, HBase, Spark etc. can be migrated to the cloud easily. Talena also adds backup & restore for these applications so you can take snapshots and revert in case of an accidental user error.
In this webinar, we will be focusing on the following key areas:
- How Azure and HDInsight are optimized for big data workloads.
- Best practices to ensure rapid recovery in the event of accidental data loss due to user error.
- How companies can implement different deployment strategies: Cloud, Hybrid and Multi-region.
- How to implement a cross-region disaster recovery strategy for HDInsight workloads.
Please register and join us for the following webinar.
Thursday, June 29th , 2017 at 10 a.m. PT Register now!