Materials

Click on the title to read the talk description. All talks with their short descriptions are here.

Scroll to top

Day 1. December 09

Time UTC+03:00  & Track
Lecture
Track 1
Track 2
Track 3
Track 4

No talks in Favorites yet

16:55 - 17:15
16:55 Track 1
17:15 - 18:30
17:15 Track 1
17:15 Track 2
17:15 Track 4
18:30 - 19:00
18:30 Track 1
19:00 - 20:15
19:00 Track 1
19:00 Track 2
19:00 Track 3
19:00 Track 4
20:15 - 20:30
20:15 Track 1
20:15 Track 2
20:15 Track 3
20:15 Track 4

Day 2. December 10

Time UTC+03:00  & Track
Lecture
Track 1
Track 2
Track 3
Track 4

No talks in Favorites yet

10:30 - 10:45
10:30 Track 1
10:30 Track 2
10:30 Track 3
10:30 Track 4
10:45 - 12:00
10:45 Track 1
10:45 Track 2
10:45 Track 3
NeoFS: Storing object data according to your rules
Stanislav Bogatyrev
NEO Saint Petersburg Competence Center
#objectstorage  #datastorage 
10:45 Track 4
12:00 - 12:30
12:00 Track 1
12:30 - 13:45
12:30 Track 1
Working with data at a low level
Nikolay Markov
Aligned Research Group
#python  #blas  #optimization 
12:30 Track 2
Digitizing a worker in real-time
Alexey Konyaev
CROC
#stream_analytics  #architecture  #iot 
12:30 Track 3
CI/CD for ML models and datasets
Mikhail Maryfich
Mail.Ru Group
#mlops  #orchestration  #tooling 
12:30 Track 4
13:45 - 14:00
13:45 Track 1
13:45 Track 2
13:45 Track 3
13:45 Track 4

Day 3. December 11

Time UTC+03:00  & Track
Lecture
Track 1
Track 2
Track 3
Track 4

No talks in Favorites yet

17:00 - 17:15
17:00 Track 1
17:00 Track 2
17:00 Track 3
17:15 - 18:30
17:15 Track 2
17:15 Track 3
18:30 - 19:00
18:30 Track 1
19:00 - 20:15
19:00 Track 1
19:00 Track 2
20:15 - 20:30
20:15 Track 1
20:15 Track 2
20:15 Track 3

Day 4. December 12

Time UTC+03:00  & Track
Lecture
Track 1
Track 2
Track 3
Track 4

No talks in Favorites yet

10:30 - 10:45
10:30 Track 1
10:30 Track 2
10:45 - 12:00
10:45 Track 1
10:45 Track 2
12:00 - 12:30
12:00 Track 1
12:30 - 13:45
12:30 Track 1
Our repository for web analytics
Artur Hachuyan
Tazeros
#architecture  #analytics 
12:30 Track 2
13:45 - 14:00
13:45 Track 1
14:00 - 15:00
14:00 Track 1
Nikolay Grebenshchikov

Over 15 years of experience in the IT field. For the last 1.5 years, Nikolay has been developing data storage at Yandex Go. Specializes in MPP Greenplum DBMS.

More than 10 years of experience in IT. Architect of data warehouses and analysis systems at Mail.ru Group and Yandex Go. Candidate of Technical Sciences, author of more than 10 papers in data analysis, co-author of a monograph on the theory and practice of parallel database analysis.

Machine Learning Engineer at Mail.Ru Group, specializes in Deep Learning. Mikhail has been engaged in machine learning for over 4 years, solves E2E problems, from problem formulation to rolling out into industrial operation and further system support. In his professional career, he values the reproducibility of results and good development processes above all.

Maksim Statsenko

"If artificial intelligence is our future, then big data is the coal of the locomotive that will bring us into it".

Maksim is working with data for 10 years. He has been building ETL Pipelines, Data Storages, analyzing Data, and working on Visualisation in government companies (RCOI), energy companies (MOEK, GAZPROM), Banks (BRC, VTB24), and IT companies (Yandex, Mail.Ru). Big Data is his wife and mistress. He's always ready to talk about it.

Fan of Reactive. Works on RSocket and improves Project Reactor along the way. Co-author of the book "Hands‑On Reactive Programming in Spring 5". Java Champion.

Vsevolod has more than 11 years in IT industry. He tried his hands at different roles and directions. He worked with automated testing, fullstack development in different languages. Some time ago he lived in California and worked under contract at Google. Managed to work with various clients from financial sector. Worked at NEO SPCC startup where he was developing on Go.

An infrastructure-dealing engineer with almost 10 years of software development using various programming languages and platforms. About 8 years of Python programming experience as well as ~3 years of using Go, good knowledge of web technologies.

Teaching, mentoring, writing and translating articles on Python, Linux, Big Data, clouds, networking and algorithms. Expertise includes distributed and high-performanced systems, networking, algorithms, concurrency/parallelism, capacity planning and basic statistical data analysis. DevOps and CI/CD enthusiast.

Stanislav Lysikov

Stanislav has been building and touching up IT platforms infrastructure for the last 5 years, for the last 3 years he has supported such companies as Gazprom-Neft and Er-Telecom Holding. Loves telecom, 'cause it's the dream of an engineer with a big data shovel and a lot of scope for testing the craziest ideas and hypotheses. Founded community, organized big date meetups with Croc and Rostelecom.

Olga Makarova

Product analyst at ivi and Yandex. Ivi Big Data team manager.

Andrey Zhukov

Graduate of the Faculty of Geography, Moscow State University. Data Janitor since 2015. Long ago was a cartographer and geospatial engineer, but decided not to stop there. Once made a corporate GIS for foresters all over Russia. Worked with the Ministry of Defense and since then has been able to remain calm in any situation. Accidentally walked near Big Data, and since then all the things have started. For the last 2.5 years Andrey has been making the aviation industry better with S7 airlines.

Aleksandr Sloutsky

Alexander Sloutsky is the Principal Engineering Manager of Microsoft's leading Big Data technology code-named Kusto. He is one of the four founders of this innovative project that has been powering Microsoft's digital transformation during past years. Before starting his work on Kusto, Alexander and his team were working on SQL Server Analysis Services — they were moving the technology into the Azure cloud.

Vitaly is a professor of functional programming, programming language theory, and computation theory. He is a member of the Haskell programming language standardization committee and the Haskell GHC compiler development supervisory committee, as well as the author of the book "Haskell in Depth" (Manning Publications).

Nadezhda Vesnina

Nadezhda has been testing software products for about 5 years, during which time she was responsible for the quality of products such as Monopoly.online, SBIS Accounting and Accounting. In her free time, she was always interested in Data Science and Big Data. Now Nadezhda can combine her interests and work, since she is a QA in the Big Data Tools development team at JetBrains.

Jacek is an IT freelancer specializing in Apache Spark, Delta Lake, Apache Kafka and Kafka Streams (with brief forays into a wider data engineering space, e.g. Presto). Jacek offers software development and consultancy services with very hands-on in-depth workshops and mentoring. He is best known by his online books available free of charge at https://books.japila.pl/.

Phil Laszkowicz

Experienced creative technologist delivering over two decades of mobile, web, cloud, and edge solutions, focused on neural network/deep learning technologies, with leading organizations including ARM, Audi, Citigroup, Nvidia, Oracle, Porsche, Sony, and United Nations. YC Combinator alumni, and co-author of several books on software development and machine learning.

Artur Hachuyan

In 2014, Arthur created SocialDataHub, which knows everything about you and us: your favorite bar, the breed of cat, the car, and even the secret dream of learning French. SocialDataHub algorithms download open information from social networks, blogs, forums, and media around the clock. Chaotic and endless data blocks are connected and analyzed at the request of customers: brands want to target advertising and guess the desires of customers, journalists want to conduct investigations, government agencies want to find criminals.

Nikolay Averin

For the last 3 years, Nikolay has been working for Miro. Migrates the service's data from Redis to PostgreSQL. Implements the multi-tenant storage architecture at the application layer. Works on scaling and fault tolerance of databases. Half a backend engineer, half a DBA.

Evgeny Legky

Evgeny is a founder and CEO at Retable — a powerful cloud platform for visually exploring, cleaning and preparing data for Data Scientists and Data Engineers.

Also, Evgeny is a strategy consultant for high-growth Silicon Valley startups to help them build scalable data stacks and data-oriented products.

Till that has been a founder and CEO at Segmento, one of the biggest RTB startups in Russia (acquired by Sberbank), and a co-founder at Hintlab AI laboratory. Worked as a software developer at JetBrains and LG.

Pavel Yakunin

Lead developer and the team lead for the big data team at Deutsche Bank Investment division.

Pavel joined Deutsche in 2014. Before that, he managed to get a Ph.D. in quantum optics, spent some time as a developer in a small hedge fund, and then in Yandex. Pavel is building Big Data in DB with the team for almost four years now and would be happy to share his experience.

Roman Korobeynikov

All life goes with the flow. First, it was the Faculty of Mechanics and Mathematics of Rostov University, then the IT industry. Roman worked in banks, integrators, game dev, and startups first as a developer, then a CTO. Currently Roman is a Java architect at VirtualHealth.

Aleksandr Ermakov

For over 15 years Aleksandr has been working on projects in the field of data processing and analysis. He worked for various international companies such as Pivotal, EMC, Dell. Participated in several international projects with Big Data and Online Analytics. Member and active participant of various non-commercial organizations Open Source Initiative (OSI), Linux Foundation, Apache Software Foundation. An active participant in the Big Data movement and Hadoop ecosystem projects.

For the last 3 years, Vlad has been working at Lamoda, where he has been doing his favorite thing in the design and creation of data warehouses and data lakes, as well as their automation. Besides the role of a systems engineer, he is engaged in DBA Vertica and the implementation of DevOps practices for Data Warehouse and Data Lake. Loves discussing Data Vault and Anchor Model implementations. 8 years of experience working with data warehouses. Designed and developed DWH for telecom and one major Japanese vendor. Found Zen in the form of ETL + MDM implementation based on Excel + Access + VBA.

Andrei has been working in IT for more than 15 years, head of the Java developers at KROK. During his career he took part in many custom development projects, mainly e-document flow systems and business processes automatization for several big Russian companies as a senior developer and an architect. At the universities of Moscow, he delivers lectures in development basics with the use of Java technologies. Organizer and leader of Moscow Java developers community.

Jeff has 11 years of experience in the big data industry. He is an open source veteran, started to use Hadoop in 2009, and is PMC of Apache project Tez/Livy/Zeppelin and committer of Apache Pig. His experience is not only on big data infrastructure but also on how to leverage these big data tools to get insight. He speaks several times at big data conferences like Hadoop summit, Strata + Hadoop World. Now he works in Alibaba Group as a staff engineer. Before that, he worked in Hortonworks where he had developed these popular big data tools.

Gleb Lesnikov

Works at Dodo Engineering, for the last 5 years Gleb has been building infrastructure, SRE. Now he is responsible for the architecture.

Vladimir Verstov

The lead of the DMP development at Yandex.Go. More than 10 years of experience in IT. At the university, Vladimir was engaged in parallel and distributed computing, developed his own CAD system, defended his Ph.D. in two specialties. 5 years in enterprise development in consulting. Vladimir went from a system analyst to Team & Tech Lead. For the last 4 years he has been working in data engineering at Yandex.Go.

Andrey Kucherov

More than 7 years in IT. For the last 4 years, Andrey has been working as Data Engineer in banks (Raiffeisenbank, VTB), consulting other banks about DataLake. Loves nontrivial tasks. Now he's developing microservices on Java for Apache Kafka at VTB.

Anton Pilipenko

Works as the head of development of the direction of big data in the SberMarket company. For a long time he was a PL/SQL developer of OLTP, and later OLAP systems, and also wrote monoliths and microservices. Anton managed to work in a bank, integrators, and startups. For the last 6 years, he has been developing various services based on the Hadoop stack. Loves Java and Espresso.

Vladimir has been working on performance and scalability of NetCracker platform (a software used by telecom operators for automatization of network management processes and network equipment) for ten years. His focus is Java and Oracle Database performance optimisations. Vladimir is an author of more than a dozen of performance improvements in the official PostgreSQL JDBC driver.

Igor Mosyagin

Igor is a Ph.D. in theoretical physics and mathematics and a tall guy. Igor identifies himself as a pragmatic engineer with a strong technical background and is currently a specialist in machine learning and data analysis in the personalization group of the Lamoda R&D department.

Vladislav works at Microsoft on cutting-edge technology from Big Data, code-named Kusto. He integrates Kusto with a variety of data sources and delivery systems for post-processing and indexing in Kusto. His team also develops libraries and OSS connectors for working with Kusto and is responsible for controlling access to the service and its security.

Evgeny Rizhik

Evgeny has been with Microsoft since 2006 and is currently a Partner Software Engineer. 6 years ago Evgeny's team started a new innovative project in the field of analytics over big data, where he was one of the founders and lead developers. The project has grown into a large cloud service Azure Data Explorer (Kusto).

Neville is a data infrastructure engineer at Spotify and the creator of Scio. Over the years at Spotify he has been driving the adoption of Scala and new tools for data processing, including Scalding, Spark, Storm, Parquet, and now Apache Beam and Scio. Before that he worked on search quality at Yahoo! and old school distributed systems like MPI.

Andrey Kuznetsov

7 years of full-time IT teaching, Information security and math stats. Ph.D. Currently works on developing recommender systems at ok.ru.

Maria Nosareva

Big Data developer at ivi.

Alexey Konyaev

Lead developer at CROC. Over 15 years of experience in IT. While working at CROK, Alexey took part in a project for the Federal State Statistics Service to automate the processing of statistical data from all over Russia. Now he's developing a system based on Indoor navigation technologies using Apache Kafka, Clickhouse, and Esper (complex event processing system).

Bronislav Zhitnikov

Bronislav has been working in IT for over 17 years and near 15 years in Software development. For the last 2 years, he has been developing the project "Raw data to DataWarehouse" in a Tinkoff as an Architect and a product owner. Creates an inner product base on Apache NiFi. Bronislav is also an administrator and active member of the NiFi Users community in Russia (@nifiusers).

Stanislav Bogatyrev

Co-founder and CIO of NEO Saint Petersburg Competence Center, where he's a lead of NeoFS development.

Before that, for over 15 years he worked in infrastructure and storage systems at Samsung Research, Clodo.ru, and DellEMC.

Lee Moon soo is a founder of staroid.com, a platform that bridges the gap between the open source community and enterprise users.

He has been working on building a sustainable open source eco-system since he created an open source project Apache Zeppelin and a business around it.

Andrey Vershinin

Quantum developer on the European equity trading algorithms team at Bank of America. Before that, he was a Java developer in a trading platform for currency exchange in the investment division of Deutsche Bank. Andrey was also involved in corporate portals and even the communication layer in an online game.