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2025-03: Databricks Batch To Brilliant, Real-Time Spark Streaming Made Simple
Event Start:
March 26, 2025 5:30 PM
Event End:
March 27, 2025
Location:
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.
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