Paid workshops taking place during the BDTWS: on 28th March 2023

from 9am to 4pm (including lunch and coffee breaks), onsite, Warsaw Marriott Hotel

Build reliable data pipelines using Modern Data Stack in the cloud

DETAILS:

In this one-day workshop, you will learn how to create modern data transformation pipelines managed by dbt and orchestrated with Apache Airflow.

Participants limit: 20

SESSION LEADER:

Michał Soszko
Data Analyst / Analytics Engineer
GetInData | Part of Xebia
Andrzej Swatowski
Data Engineer
GetInData | Part of Xebia
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Machine Learning Operations (MLOps)

DETAILS:

In this one-day workshop, you will learn how to operationalize Machine Learning models using popular open-source tools (Kedro), and deploy it using cloud computing (Google Cloud Platform / Vertex AI).

Participants limit: 18

SESSION LEADER:

Michał Bryś
Machine Learning Engineer
GetInData | Part of Xebia
Marcin Zabłocki
Senior MLOps Engineer
Printify
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Real-time Streaming Analytics using Apache Flink

DETAILS:

You will discover how to configure streaming pipelines, transformations, aggregations or triggers using SQL and Python in an user-friendly development environment using open source tools of Apache Flink, Apache Kafka and Getindata OSS projects.

Participants limit: 18

SESSION LEADERS:

Anna Naroska
Data Engineer
GetInData | Part of Xebia
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Workshops for registered participants BDTWS: on 30th March 2023

from 9:30 am to 12 pm, online

Principles of designing new data platform as a product

DETAILS:

Newer platform technologies enable analysts to build pipelines using 2 to 3 weeks training, as opposed to existing technology stacks that require extensive experience in dedicated engineering tools and languages like Python. This change is revolutionary for larger organisations as it unlocks a large pool of resources and provides strategic flexibility. This workshop will cover the topic of the modern data platform architecture principles. The session is intended to be an open discussion around the design choices that we will be presenting.
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Participants limit: 20

SESSION LEADERS:

Krzysztof Mikłasz
Senior Data Product Manager
Reckitt
Wojciech Wojtas-Niziurski
Data Solutions Architect
Reckitt
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Mastering Scalable Data Platforms: Building Azure data platform from scratch

DETAILS:

Designing scalable data platform on Azure. Using the most popular technologies for data ingestion, storage and processing. Technologies used: Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Data Hub, data streaming, etc. Hands-on workshop to set up data platform on Azure from scratch. Creating sample data pipelines for batch & streaming data. Walkthrough different Azure components.
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Participants limit: No limit

SESSION LEADER:

Karol Bokszczanin
Lead BigData DW/BI Engineer
SoftServe
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Iceberg of AI - How to approach building a solution based on AI and ML services on Azure

DETAILS:

GPT family of models is taking over the world by storm. And using them has never been easier – Azure is offering OpenAI as a generally available managed service. But how can we start using it and infuse our solutions with generative intelligence? This session will answer this question along with addressing: what exactly is available on Azure from the OpenAI suite? What models should we use and when? And how can we work with, and integrate, this service in our development process?
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Participants limit: No limit

SESSION LEADER:

Aleksandra Jaworska
Data & AI Cloud Solution Architect
Microsoft
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CONDUCTING WORKSHOPS

BIG DATA TECHNOLOGY
WARSAW SUMMIT

ORGANIZER

Evention sp. z o.o

Rondo ONZ 1 Str,

Warsaw, Poland

www.evention.pl

CONTACT

Weronika Warpas

weronika.warpas@evention.pl

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