February

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  Feb 07 2018

  Empower your cloud object storage strategy with LIVE DATA

  Learn how you can break through the limitations of cloud object storage implementations with a LIVE DATA strategy. Moving to the cloud frees companies from their on-premises confines, and cloud object storage enables vast scalability and flexibility for data in its native format. Yet cloud object storage applications present their own challenges. Legacy solutions dictate what options can be deployed while the risk of vendor lock-in by choosing a single provider restricts future implementations and hampers pricing negotiation. A live data platform that enables active replication ensures that data that is always available, always consistent and always protected, fulfilling on the promise of cloud object storage.Join us as Paul Scott-Murphy, WANdisco VP of Product Management, discusses the benefits of a cloud object storage approach empowered with a live data platform to help companies break down the silos and implement a robust multi cloud strategy.In this webinar we will discuss:

  • When and why you should consider cloud object storage solutions
  • Key cloud object storage platforms available (S3, Dell EMC, IBM)
  • Limitations of going with a single vendor, and benefits of multi-cloud
  • Need for and benefits of LIVE DATA strategy in a multi-cloud environment

  Register now to learn how to implement a cloud object storage initiative while maintaining flexibility for the future and maximizing current capabilities through a live data strategy.

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October

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  Oct 25 2017

  Extend on-premise deployments to Azure HDInsight in real-time

  Learn how you can achieve continuous replication at scale between multiple Big Data and Cloud environments with guaranteed data consistency and continuous availability.

  Pranav Rastogi, Microsoft Program Manager, and Paul Scott-Murphy, WANdisco VP of Product Marketing, will discuss how Microsoft customers can achieve a truly hybrid architecture for on-demand data analytics and offsite disaster recovery via a single-click installation from the Azure marketplace.

  
  

  During this webinar you will also learn:

  • How to meet stringent data availability and compliance requirements whilst seamlessly moving production data at petabyte scale from on-premises Big Data deployments to MS Azure.
  • How to save money and achieve greater ROI with no need for dedicated hardware or storage systems.
  • How to enable data to span HDFS, object storage, and other systems.
  • How to select subsets of content for replication with fine-grained control over where data resides.
  • How to recover from intermittent network or system failures automatically.

  Learn how to get the most value from your data while also meeting strict service level agreements.

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July

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  Jul 20 2017

  Maximum Availability Architecture for Oracle BDA and BDCS

  During this webinar you will learn how to:

  • Deploy Oracle BDA and BDCS in environments running any mix of HCFS compatible distributions with a path for full cluster migration with no downtime and no data loss
  • Meet enterprise SLAs with Oracle Maximum Availability Architecture
  • Replicate selected data among multiple big data systems and verify that they remain consistent regardless of where they are ingested or changed
  • Replicate data at any geographic distance with signficantly low RPO and RTO
  • Complete data transfer in approximately half the time of DistCp rgardless of the load imposed on the cluster
  • Overcome the limitations of traditional approaches that leverage DistCp or dual-ingest methods

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July

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  Jul 13 2017

  Hive replication across on-premises and cloud deployments

  Join us as Paul Scott-Murphy, WANdisco VP of Product Management, discusses how to:

  • Use Hive across on-premises and cloud deployments with guaranteed consistency so you can take full advantage of the cloud as an extension of your on-premises capacity
  • Scale your Hadoop environment beyond your data center
  • Take advantage of cloud capacity without the cost of running a cluster 24/7
  • Query your data consistently regardless of source and keep your data and metadata in sync with no administrative overhead

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May

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  May 11 2017

  Disaster recovery for Hadoop

  Join us as Paul Scott-Murphy, WANdisco VP of Product Management, discusses disaster recovery for Hadoop. Learn how to fully operationalize Hadoop to exceed the most demanding SLAs across clusters running any mix of distributions any distance apart, including how to:
  - Enable continuous read/write access to data for automated forward recovery in the event of an outage
  - Eliminate the expense of hardware and other infrastructure normally required for DR on-premises
  - Handle out of sync conditions with guaranteed consistency across clusters
  - Prevent administrator error leading to extended downtime and data loss during disaster recovery

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