Check the ONSITE conference location: LOCATION

 

In this year's edition of the conference, we will focus on the areas:
Artificial Intelligence and Data Science, Streaming and Real-Time Analytics,
Data Strategy and ROI, Data Engineering, Architecture Operarations &Cloud.

 


26.04.2022 - WORKSHOP DAY

9.00 - 16.00

PARALLEL WORKSHOPS (independent workshops, paid entry) | on-site, WARSAW

Introduction to Machine Learning Operations (MLOps)

 

DESCRIPTION:

SESSION LEADER:

Machine Learning Engineer
GetInData

Real-Time Stream Processing

 

DESCRIPTION:

SESSION LEADERS:

Data Engineer
GetInData
Software developer
GetInData

Modern data pipelines with dbt

 

DESCRIPTION:

SESSION LEADER:

Software/Data Engineer
GetInData

19.00 - 22.00

EVENING SPEAKERS MEETING (Only for Speakers) on-site, WARSAW

 

 

27.04.2022 - 1ST CONFERENCE DAY | HYBRID: ONLINE + ONSITE

 

8.30 - 9.00

Morning cofee and networking time

9.00 - 9.10

Sesja plenarna
Conference opening
CEO & Meeting Designer
Evention
CEO and Co-founder
GetInData

9.10 - 11.25

PLENARY SESSION

9.10 - 9.30

Plenary Session
Big data at Microsoft: The story behind the tech that powers an exabyte-scale data lake

Speaker:

Group Product Manager – Azure Engineering
Microsoft

9.30 - 9.55

KEYNOTE PRESENTATION

Plenary Session
Data Mesh in Practice - How to set up a data driven organization

Speaker:

Data Engineering Manager
Zalando

9.55 - 10.10

BREAK

10.10 - 10.35

Plenary Session
And then the magic happens: 9 ways to put your big data platform migration at risk
Data SCE at Professional Services Organization
Google Cloud Poland
Cloud Customer Engineering Manager
Google Cloud Poland

10.35 - 11.00

Plenary Session
Why data analytics is critical for business at Kambi
Data Platform Architect
Kambi

11.00 - 11.25

Plenary Session
Oh my god Hybrid Cloud! Two or more data architectures fused together, how?

Speaker:

Solutions Engineer
Cloudera

 

Solutions Engineer
Cloudera

11.25 - 11.50

BREAK

11.50 - 13.20

PARALLEL SESSIONS

11.50 - 12.20

Architecture Operations &Cloud
Parallel Session
Cloud infrastructure for human beings

Speaker:

Data Platform Engineer
Allegro
Artificial Intelligence and Data Science
Parallel Session
Where data science meets software and ML engineering – a practical example

Speaker:

Associate Data Scientist
Philip Morris International

Speaker:

Lead Data Scientist Operations
Philip Morris International

The presentation will be announced soon.


12.25 - 12.30

TECHNICAL BREAK

12.20 - 12.50

Data Engineering
Parallel Session
Auditing your data and answering the life long question, is it the end of the day yet?

Speaker:

Senior Data Engineer
Aidoc
Artificial Intelligence and Data Science
Parallel Session
Understanding Query Semantics at eBay

Speaker:

Staff Data Scientist
eBay Inc
Data Strategy and ROI
Parallel Session
Building a backbone of a data-driven enterprise: Big Delta Lake

Speaker:

Data Science Manager
Reckitt

12.50 - 13.20

Data Engineering
Parallel Session
From hearing aids to reports - a case study with Azure & more
Software Architect
Demant
Real-Time Streaming
Parallel Session
NetWorkS! project - real-time analytics that controls 50% of mobile network in Poland

Speaker:

Big Data Lead
GetInData

Speaker:

IT Operations Manager
NetWorkS!
Data Strategy and ROI
Parallel Session
Analytics Translator: The New Must-Have Role for Data-Driven Businesses

Speaker:

Associate professor Data Driven Business & People Analytic
University of Applied Sciences Utrecht

13.20 - 14.15

LUNCH BREAK

14.15 - 15.55

CASE STUDY

14.15 - 14.45

Architecture Operations &Cloud
Parallel Session
Developing and Operating a real-time data pipeline at Microsoft's scale - lessons from the last 7 years

Speaker:

Principal Software Engineering Manager
Microsoft
Data Engineering
Parallel Session
Scaling your data lake with Apache Iceberg

Speaker:

Senior Data Developer
Shopify

The presentation will be announced soon.


14.50 - 15.20

Real-Time Streaming
Parallel Session
TerrariumDB as a streaming database for real-time analytics

Speaker:

Co-Founder and CTO
Synerise
Artificial Intelligence and Data Science
Parallel Session
Feed your model with Feast Feature Store

Speaker:

Solutions Architect
Bank Millennium
Data Strategy and ROI
Parallel Session
Digital Twins 101

Speaker:

AVP Technology
SoftServe

15.25 - 15.55

Architecture Operations &Cloud
Parallel Session
COVID-19 is a cloud security catalyst

Speaker:

Group Head of Cloud Delivery
Endava
Data Engineering
Parallel Session
Let your analysts build data pipelines on Modern Data Platform using SQL, DBT and the framework developed by GetInData

Speaker:

Software/Data Engineer
GetInData
Real-Time Streaming
Parallel Session
Cloud Native Stateful Stream Processing with Apache Flink

Speaker:

Lead Software Engineer
Ververica

15.55 - 16.15

BREAK

PEER2PEER SHARING

16.15 - 17.15

ROUNDTABLES (ONLINE or ONSITE)

Parallel roundtables discussions are the part of the conference that engage all participants. It has few purposes. First of all, participants have the opportunity to exchange their opinions and experiences about specific issue that is important to that group. Secondly, participants can meet and talk with the leader/host of the roundtable discussion – they are selected professionals with a vast knowledge and experience.

There will be roundtable sessions, hence every conference participants can take part in 2 discussions, one each day of the conference.

 

 

Roundtable discussion
1. The unexpected journey to data cleansing

• Normalization processes - when should you do that? How do you identify your data issues?
• How do you explore new models and solutions?
• How do you decide whether the new model works best for you?

Moderator:

Software Engineer
Neuralight
Roundtable discussion
2. Super-charge your Pandas code with Apache Spark

 Pandas is a fast and powerful open-source data analysis and manipulation framework written in Python. Apache Spark is an open-source unified analytics engine for distributed large-scale data processing. Both are widely adopted in the data engineering and data science communities. Even though there’s a great value in combining them in terms of productivity, scalability, and performance, it’s often overlooked. Join us for a live discussion, where you will hear and share your experience with combining Spark and Pandas to benefit from both worlds! We welcome all levels of expertise, from intermediate to advanced.

Moderator:

Senior Solutions Architect
Databricks

Moderator:

Senior Solutions Architect
Databricks
Roundtable discussion
3. Vector databases and vector search engines

Vector databases store data with vector embeddings, which are computed with Machine Learning models. Indexed vector embeddings enable fast similarity search and retrieval. An open-source vector search engine like Weaviate can be used to do semantic search, similarity search of text, images and other types of unstructured data, one-shot labeling, etc. These features of vector search engines enables you to scale ML models, build recommendation systems or do anomaly detection.

In this discussion we will talk about vector databases. You can learn about vector search engines, share your experiences, get updates from the latest techniques, meet people working in a similar field and get feedback on your ideas. Whether you're new to vector databases or identify as an experienced user, all are welcome to join!

Moderator:

Community Solution Engineer
SeMI
Roundtable discussion
4. Data Governance in Modern Organizations

Traditionally, data governance has been defined as managing data integrity and the access of enterprise systems. Usually it consists of a centralized team with a steering committee, data stewards, process workflows and policies. In a traditional environment when you have a centralized data team, this can work well, but in today’s world where each department has their own analysts creating different analyses, such a project will likely fail. We'll discuss how today's organizations are approaching data governance given the fast-changing, decentralized environment of data today.

Moderator:

Founder & CEO
Select Star
Roundtable discussion
5. Dashboarding Nightmares: What most people forget to scope

Organizations are disappointed on the return on investment of their dashboarding efforts. At the same time, trends like natural language querying, data catalogs, and metric stores are arising. Are dashboards dead or maybe we haven't seen their best days yet.

Moderator:

Analytics Engineer
GoDataDriven
Roundtable discussion
6. From Data Lakes to Data Mesh - applying software architecture paradigms to data

Moderator:

Head of Product Engineering
Revolut

19.00 - 22.00

EVENING NETWORKING SESSION| on-site, WARSAW

Let's get together! To talk, to meet new people, to see old colleagues. We invite you for a face 2 face interaction onsite.
More information will be provided soon.

28.04.2022 - 2ND CONFERENCE DAY| ONLINE

 

9.30 - 12.00

PARALLEL WORKSHOPS (ONLINE)

Data Vault on BigQuery

 

DESCRIPTION:

SESSION LEADER:

Customer Engineer
Google Cloud Poland
Data SCE at Professional Services Organization
Google Cloud Poland

Sesja plenarna
Data Vault on BigQuery
Customer Engineer
Google Cloud Poland
Data SCE at Professional Services Organization
Google Cloud Poland

12.00 - 13.00

BREAK

13.00 - 13.10

OPENING

13.10 - 13.35

KEYNOTE PRESENTATION

Artificial Intelligence and Data Science
Plenary Session
Benefits of a homemade ML Platform

Speaker:

Software developer
GetInData

 

Data Science Lead @ Search
Truecaller

13.40 - 14.10

PARALLEL SESSIONS

Architecture Operations &Cloud
Parallel Session
Rise up and reach the cloud - evolution of a modern global healthcare data warehouse

Speaker:

Senior Technical Architect
IQVIA
Architecture Operations &Cloud
Parallel Session
Fine-Tuning Kubernetes Clusters for Data Analytics

Speaker:

Cloud Lead
Mindbox

The presentation will be announced soon.

14.15 - 14.45

CASE STUDY

Artificial Intelligence and Data Science
Parallel Session
Learning From Experiments Without A/B Testing - Case Study From Willa (Swedish FinTech)

Speaker:

Data Scientist
Willa

Speaker:

Director of Data Science
Willa
Real-Time Streaming
Parallel Session
Ingesting trillions of events per day with Apache Spark

Speaker:

Software engineer
Crowdstrike
Data Strategy and ROI
Parallel Session
Implementation of BigData Platform in Digital vs Analog Financial company - case study.

Speaker:

Head of Architecture, Data and Infrastructure
W1TTY

PEER2PEER SHARING

14.45 - 15.40

ROUNDTABLES (ONLINE)

Parallel roundtables discussions are the part of the conference that engage all participants. It has few purposes. First of all, participants have the opportunity to exchange their opinions and experiences about specific issue that is important to that group. Secondly, participants can meet and talk with the leader/host of the roundtable discussion – they are selected professionals with a vast knowledge and experience.

There will be roundtable sessions, hence every conference participants can take part in 2 discussions, one each day of the conference.

 

Roundtable discussion
1. Hadoop is legacy. Does the future belong to cloud data warehouses and delta lakes?

Moderator:

Director, IT Architecture, Real World & Analytics Solutions
IQVIA
Roundtable discussion
2. The Data Lakehouse – just another buzzword? Or a concept you can really use?

Moderator:

Solution Engineer
Vertica
Roundtable discussion
3. CloudOps: Specialization or standardization?

Moderator:

Chief Technology Officer
3Soft

15.40 - 16.45

CASE STUDY

15.40 - 16.10

Architecture Operations &Cloud
Parallel Session
Managing Microsoft Azure at a leading capital markets fintech

Speaker:

Chief Cloud Engineer
Saxo Bank
Artificial Intelligence and Data Science
Parallel Session
Digging the online gold - interpretable ML models for online advertising optimization

Speaker:

Data Scientist
Ringier Axel Springer Polska
Data Strategy and ROI
Parallel Session
How to accelerate your data-driven journey with an analytics framework?

Speaker:

Director of data & advanced analytics
ICA Gruppen

16.15 - 16.45

Architecture Operations &Cloud
Parallel Session
Lessons Learned from Containerizing Data Infrastructure at Uber

Speaker:

Sr Software Engineer II
Uber
Artificial Intelligence and Data Science
Parallel Session
Eliminating Bias in the Deployment of AI and Machine Learning

Speaker:

Chief Technology Officer
Teradata Corporation

The presentation will be announced soon.


16.50 - 17.20

KEYNOTE SESSION

Parallel Session
Moving Apple AI/ML Data Infrastructure into the Cloud

Speaker:

Head of Storage & Compute Infrastructure - AI/ML
Apple

17.20 - 17.30

SUMMARY & CLOSING

ONLINE EXPO + KNOWLEDGE ZONE

Free participation

We have great set of presentation available in the CONTENT ZONE that would be available pre-recorded as Video on Demand for conference participants in advance

Parallel Session
Analytical cubes in the service of data analysis

Speaker:

Engineering Manager for the Data Team
OLX Group
Parallel Session
How to keep the Data Lake clean instead of ending up with the Data Swamp using Data Layers a.k.a Bronze / Silver / Gold

Speaker:

CEO and Co-founder
Datumo
Parallel Session
Introduce Azure into your environment

Speaker:

Parallel Session
Deduplication and entity resolution with Zingg: open source tool using Spark and ML?

Speaker:

Founder
Zingg

Parallel Session
Microservice Data Lakehouse

Speaker:

Chief Architect
Point72

Speaker:

Tribe Technical Lead
T-Mobile PL
Parallel Session
See what’s underground via Machine Learning eyes (powered by cloud solutions)

Speaker:

Junior Data Scientist
SGPR.TECH

Speaker:

Senior Data Scientist
SGPR.TECH

BIG DATA TECHNOLOGY
WARSAW SUMMIT 2023

March 29 -30, 2023

ORGANIZER

Evention sp. z o.o
Rondo ONZ 1 Str,
Warsaw, Poland
www.evention.pl

CONTACT

Weronika Warpas
m: +48 570 611 811
e: weronika.warpas@evention.pl

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