Building Real-Time Data Pipelines with Spark Streaming, Kafka, and Cassandra

Presented by

Nik Rouda, Senior Analyst for Big Data at ESG; and Nanda Vijaydev, Director of Solutions Management at BlueData

About this talk

Watch this on-demand webinar to learn best practices for building real-time data pipelines with Spark Streaming, Kafka, and Cassandra. Analysis of real-time data streams can bring tremendous value – delivering competitive business advantage, averting potential crises, or creating new revenue streams. So how do you take advantage of this "fast data"? How do you build a real-time data pipeline to enable instant insights, immediate action, and continuous feedback? In this webinar, you'll learn: -Research from analyst firm Enterprise Strategy Group (ESG) on real-time data and streaming analytics -Use cases and real-world examples of real-time data processing, including benefits and challenges -Key technologies that ensure high throughput, low-latency, and fault-tolerant streaming analytics -How to build a scalable and flexible data science pipeline using Spark Streaming, Kafka, and Cassandra Find out how to get started with your real-time data pipeline today!

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (57)
Subscribers (32468)
Hewlett Packard Enterprise (HPE) is transforming how enterprises deploy AI / Machine Learning (ML) and Big Data analytics. HPE’s container-based software platform makes it easier, faster, and more cost-effective for enterprises to innovate with AI / ML and Big Data technologies – either on-premises, in the public cloud, or in a hybrid architecture. With HPE, our customers can spin up containerized environments within minutes, providing their data scientists with on-demand access to the applications, data, and infrastructure they need.