Archived Webinars

Mar 21, 2018

Analyst Webinar: Is the Traditional Data Warehouse Dead? : There has been a steady drumbeat in some quarters that the traditional data warehouse is dead, even though it is a fixture at most organizations. Some insist it is too slow and cumbersome to support today’s fast-moving and data hungry organizations while others claim it’s still a critical piece of data infrastructure that companies can’t live without. Somewhere between these extremes lies the truth.

Feb 16 - 17, 2018

Streaming Analytics for IoT with Apache Spark : Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.

Dec 15 - 16, 2017

Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation : Detecting anomalous patterns in data can lead to significant actionable insights in a wide variety of application domains, such as fraud detection, network traffic management, predictive healthcare, energy monitoring and many more.

Oct 13, 2017

Apache Spark Empowering the Real-time, Data Driven Enterprise: The De Facto Choice for Stream Processing and Machine Learning : Apache Spark is one of the most popular Big Data frameworks today. It is fast becoming the de facto technology choice for stream processing, real-time analytics, data science and machine learning applications at scale. It has moved well beyond the early-adopter phase, is supported by a vibrant open source community and is enjoying accelerated adoption in enterprises.

Aug 23, 2017

The Structured Streaming Upgrade to Apache Spark and How Enterprises Can Benefit : The adoption of Apache Spark to analyze data in real-time is increasing with its ability to handle sophisticated analytical requirements and a common framework for streaming and batch. However, most organizations are also looking for "true streaming" features like lower latency and the ability to process out-of-order data.

May 12, 2017

Real-time Data360 on Apache Spark : Data360 - is a new term and is being used to represent a one-stop shop for all your Big data processing needs.

Nov 18, 2016

Self Service Pre-built Pipelines for Building Real-time Streaming Apps : Streaming analytics is fast becoming a must-have technology for enterprises seeking to gain competitive advantage from Data.

Aug 18, 2016

The Business Impact of Fast Data Analytics : The promise of big data is greater than ever before due to an explosion in the number and variety of data sources.

Jun 17, 2016

Spark Streaming Made Easy! : Real-time streaming analytics and IoT seem to be the next big thing in the data and analytics industry. As enterprises adopt Apache Spark and Spark Streaming widely, IT teams are facing the challenge to provide the tools and the framework needed to make Apache Spark Streaming an easy-to-use, robust, scalable and multi-tenant service.

Feb 24, 2016

Harnessing the Firehose: Getting Business Value from Streaming Analytics : The Briefing Room with Dr. Robin Bloor, Dez Blanchfield and StreamAnalytix- Impetus Technologies

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