Streaming Architecture: Top Ten Requirements To Evolve To A Real-Time Enterprise
Jul 26, 2018 | 10:00 am PT / 1:00 pm ET
Streaming data ingestion, ETL, and integration along with real-time machine learning are becoming more and more critical capabilities as enterprises look to create and monetize the real-time enterprise.
In this webinar, our guest, Principal Analyst and VP at Forrester Research, Mike Gualtieri – Author of the Forrester Wave for Streaming Analytics and Anand Venugopal – Business Head of the StreamAnalytix platform at Impetus Technologies will address the following topics:
- What is a “Streaming architecture” and how is it different from the traditional enterprise Architecture
- Why is it an absolute necessity for the real-time enterprise
- What are the top 10 attributes to look for in a streaming analytics platform/architecture
- A process for teams to discover and deliver business value from real-time data processing and analytics
- Success stories from some well-known large enterprises
Mike’s research focuses on key technology areas such as: AI, machine learning, deep learning, AI chips and systems, digital decisions, streaming analytics, prescriptive analytics, big data analytical platforms and tools (Hadoop/Spark/Flink; translytical databases), optimization, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, artificial intelligence, and innovation. Mike provides technology vendors with actionable, fine-tuned advisory sessions on strategy, messaging, competitive analysis, buyer-persona analysis, market trends, and product road maps for the areas he directly covers and adjacent areas that wish to launch into new markets or use new technologies.
Anand is a techno-business leader at Impetus Technologies providing product strategy, product marketing and sales leadership for the StreamAnalytix business at Impetus. He is focused on evangelizing and delivering real business value from big data and fast data analytics to Fortune 1000 enterprises. Having spoken at numerous big data conferences on a range of topics including big data use cases, ROI, real-time streaming analytics, enterprise big data bus – Anand is a well-known thought leader in the big data ecosystem. He brings 22+ years of software technology, architecture and go-to-market experience in hi-tech, telecom, mobile, gaming and enterprise big data and analytics systems to enrich his speaking engagements.
Meetup – Anomaly Detection Techniques and Implementation Using Apache Spark
Feb 27, 2019 - Feb 27, 2019 Atlanta, GA
An Easy Approach to ETL with Apache Spark – Visually prepare, integrate, and transform data as it arrives
2019-03-08 23:30:00 - 10:00 am PT / 1:00 pm ET