Join us for an exclusive in-person event on "Real-time Streaming and Data Lakehouse," hosted by e6data in collaboration with The Big Data Show. This meetup is designed specifically for senior software engineers, data engineers, and data architects, who are constantly looking to optimise their data architecture to make it more price-performant while delivering the best user experience. In this edition, we will be deep-diving into the cutting-edge developments in real-time streaming architecture, focusing on Kafka, Redis, data caching mechanisms, and governance around them. Lakehouse Views is designed to enable fellow data nerds to meet and network and have insightful discussions on the entropic world of data.
Insights into Kafka and Redis’s internal architecture, efficiency, and popularity in the industry as the de facto choice.
Time: 9:00 - 9:45 AM IST
How to use efficient caching mechanisms to reduce costs while ensuring hyper-performance and data freshness.
Time: 9:45 - 10:30 AM IST
Best practices to use Unity catalog with Delta lake tables for comprehensive data governance of your data assets.
Time: 10:45 - 11:30 AM IST
Insights into the evolving landscape and emerging use cases centered around data lakehouse architecuture, with emerging players in data catalogs, open table formats, query engines, and more.
Time: 11:45 - 12:30 PM IST
Pick a heavy workload
Choose a common cross-industry "heavy" workload; OR Work with our solution architect team to identify your own.
Define your 360° interop
Define all points of interop with your stack: e.g. Catalog, BI Tool, etc. e6data is serverless first and available on AWS/Azure.
Pick a success metric
Supported dimensions: Speed/Latency, TCO, Latency Under Load. Pick any linear combination of these three dimensions.
Pick a kick off date
Assemble your team (data engineer, architect, devOps) for kickoff from the date of kickoff, and go live in 10 business days.
We are universally interoperable and open-source friendly. We can integrate across any object store, table format, data catalog, governance tools, BI tools, and other data applications.
We use a usage-based pricing model based on vCPU consumption. Your billing is determined by the number of vCPUs used, ensuring you only pay for the compute power you actually consume.
We support all types of file formats, like Parquet, ORC, JSON, CSV, AVRO, and others.
e6data promises a 5 to 10 times faster querying speed across any concurrency at over 50% lower total cost of ownership across the workloads as compared to any compute engine in the market.
We support serverless and in-VPC deployment models.
We can integrate with your existing governance tool, and also have an in-house offering for data governance, access control, and security.