Databricks Batch To Brilliant, Real-Time Spark Streaming Made Simple

## Details

Think real-time data streaming is too expensive, complex, and always-on? Think again! Join Jitesh Soni as he demystifies Spark Streaming on Databricks. Plus, see a live demo of large-scale data ingestion in action!
Where: Platform Calgary, East Annex
When: Wednesday, March 26, at 5:30pm
From Batch to Brilliant: Cheap Real-Time Spark Streaming Made Simple
People often associate streaming with high costs, complexity, and systems that must run continuously. However, Spark Streaming breaks this mold by offering a flexible, custom solution that processes data in real-time, near-real-time, or on any custom schedule—all without the burden of always-on operation or constant maintenance. In this session, Jitesh will reveal how Spark Streaming serves as a dynamic design pattern for data pipelines, making it easier to integrate into your data strategy without the traditional constraints of streaming technologies.

• Learn how Spark Streaming transforms the concept of streaming from an expensive, high-maintenance system to a versatile tool for any data processing interval.
• Discover its flexible design pattern that supports real-time, near-real-time, or scheduled data processing with a single codebase.
• Watch a live demo showcasing the ingestion of large-scale data—merging data into a table with billions of rows with a single machine.

Schedule:
5:30 - Food and Networking sponsored by Databricks!
6:00 - Presentation and Discussion
7:30 - Wrap up
Bio:
Jitesh Soni has over 13 years of experience specializing in streaming technologies and data architecture, with deep expertise in Databricks and AWS. He is the author of CanadianDataGuy’s No Fluff Newsletter, where he provides actionable insights without jargon, helping readers up-skill quickly. Passionate about coaching and empowerment, he is dedicated to guiding individuals—regardless of their background—to excel in their data careers and become the best versions of themselves.