Announcement of Data Streaming focused 131st DevClub.lv

HI!

The first event of the summer will be held on a WEDNESDAY. And we move to another great office to gather together and talk all about Data Streaming.

You are welcome to Data Streaming focused event on WEDNESDAY June 19th 18:30, atGustava Zemgala gatve 76, building Valters, 12th floor

Please Register here

Agenda for Data Streaming focused 131st DevClub.lv DevClub.lv

  • Pavel Khokhlov from Ness Digital Engineering will give a talk about “Streaming data processing with Apache Kafka and Apache Flink” in day-to-day dev activities.”
    Migration case from on-premises to AWS with using Data Streaming stack based on top of Apache Kafka & Apache Flink
    (Language – English)
    Tags: Data Streaming, Migration to Cloud, Big Data, Apache Kafka, Apache Flink, Technology Innovation

    Pavel is a Software Architect at Ness Digital Engineering focusing on writing data intensive applications.
  • Arthur Tabatchnic will give a talk titled “Mathematical Approaches and Algorithms for Data Stream Analysis.”
    Data streams can be challenging to analyze on the fly. Hardware constraints, large volumes of data, and rapid changes in patterns can all lead to difficult problems. In this talk, I will provide an overview of the different types of analyses that can be performed on data streams and the theory behind some popular algorithms. We will look at three of the most useful groups of tasks: classification, change diagnosis, and distributed data mining.
    (LanguageEnglish)
    Tags: Math, Statistics, Algorithms

    Arthur is a full-stack developer at Visma Labs, working on a large payroll system
  • Artsem Varyvoda from EPAM will give a talk about “Exploring Delta Live Tables: Streaming & Real-Time Data Ingestion with Databricks”
    In today’s fast-paced digital world, streaming data is essential as it enables real-time analytics and instant insights, allowing businesses to make quicker decisions, respond to changes promptly, and gain a competitive edge. Delta Live Tables is particularly effective for streaming data because it’s built on Delta Lake, which unifies batch and real-time data processing.
    In this talk we will cover not only Delta Live tables for streaming data ingestion, but also Medallion architecture and how to establish Data Quality in different domains.
    Join us to discover how Delta Live Tables can revolutionize your data processing and analytics capabilities. Don’t miss this opportunity to stay ahead of the curve, enhance your data strategies, and unlock the full potential of real-time data with Databricks.
    (LanguageEnglish)
    Tags: Databricks, Delta Live Tables, Data Engineering, Real Time Data, Data Quality, Medalion Architecture.

    Artsem has over 5 years of experience in Data Quality & Engineering for the Reinsurance and Luxury goods business domains, working in Azure, Databricks, and Palantir environments.

Videos from previous events you can find at our homepage and our YouTube channel. The best way to be informed about new videos is to Subscribe to our YouTube channel


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