On-Demand Webinar

How to build Real-time Streaming Apps in minutes

Apache Storm Made Easy

2015 is witnessing many enterprises wanting to speed up initiatives for turning Big Data into Business Insights, and early starters are going beyond Hadoop with real-time streaming, in-memory computing, advance analytics  and machine learning in their architecture. Companies will want to design, iterate and rapidly deploy new and emerging use cases with Fast data – like Internet of Things and Real-time Customer Engagement Analytics.

Having to learn and code native Apache Storm or Spark-streaming would make things slow. There is a need for platforms that abstract these powerful streaming engines and provide an easy and powerful visual IDE-like tool for real-time streaming analytics application development.

In this webinar, we will discuss a Modern Enterprise Data Architecture to serve customers in real-time or near-real-time in a context-sensitive manner enabled by a powerful blend of both offline and real-time Analytics.

During this webinar you will get-

  • What distinguishes a Modern Agile Enterprise
  • Lambda Architecture overview
  • An overview of a powerful real-time streaming analytics platform for rapid app development on Apache Storm
  • A demo of a practical implementation of Lambda architecture in Social Media Analytics involving batch and real-time analysis
Anand VenugopalAVP & Business Head, Gathr

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      Meet Gathr.

      The only all-in-one data pipeline platform

      • One platform to do it all - ETL, ELT, ingestion, CDC, ML
      • Self Service, zero-code, drag and drop interface
      • Built-in DataOps, MLOps, and DevOps tools
      • Cloud-agnostic and interoperable
      • Data

      • Change Data

      • ETL/ELT Data

      • Streaming

      • Data

      • Machine