For the first time, BIG DATA 2021 will be held in a hybrid format. The experience gained in organizing digital events in 2020 will allow combining traditional face-to-face presentations and discussions with a variety of online activities: speakers from other regions and countries, master classes and online workshops for the widest audience.
Evgeny Stepanov,Head of Vertica Russia & CIS, Arenadata
Unified Analytics Platform — a new round of data analytics
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Alexey Kovalenya,Technical Consultant, Big Data and Security Department, Atos Russia&CIS
Big Data Infrastructure Evolution
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Nikita Nikolaev,Operational Director, Celsus
How to optimize the process of annotating medical data and selection of the annotators?
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Andrey Mayorov,CTO, RDTEX
Big Data Analytics on the example of Actenzo digital medicine service
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Maxim Milkov,CTO, Data Ananlytics Department, Softline AI
NLP for Business Process Optimization and Document Management
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Alexandr Kuzmin,Senior Technology Consultant, Pure Storage
Effective Storage in Modern Data Analytics
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Alexey Sidorov,Data Management Director, Denodo
21st Century Data Architecture — From Monolithic Storages to Distributed Data Services
Approaches such as Agile, DevOps, microservice architecture have fundamentally changed the principles of software development in the last decade. However, in matters of data management, we still rely on architectural solutions proposed at the end of the last century. Moving towards digital transformation requires processing huge amounts of cleaned, unified data available in real time. At the same time, IT organizations persist in trying to collect all data in a single monolithic repository, be it a warehouse or a data lake. What will the 21st century data landscape look like? The answer is obvious - we are moving on to the paradigm of data management in a distributed, virtual form. In this talk we will look at modern virtual architectures, which are gaining popularity among data management professionals.
Success story. Client 360 nationwide for the Ministry of Social Security in 6 weeks.
Historically, Master Data Management (MDM) projects have been considered the most challenging and risky. On average, the implementation takes from 6 to 18 months. In our presentation, we will talk about how the use of the Virtual Data Fabric architecture has reduced the implementation time of the "Client 360" system to 6 weeks and will conduct a live demonstration of the Denodo platform. The presentation decks will be ready before the end of this week. Kindly let me know if anything is pending on my side.
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Oleg Giatsintov,CTO, DIS Group
Data Democratization in Practice
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Dmitry Pavlov,Business Development Manager, Yandex.Cloud Data Platform
Cloud or on-premise for new data projects? Let's debate!
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Alexandr Volynsky,PaaS Architect, Mail.ru Cloud Solutions
How to handle Big Data flexibly and effectively in the cloud using Kubernetes
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Stanislav Lyakhovetsky, Project Portfolio Director, VTB
Model Risk Management
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Alexandr Bryl, ML Engineer, DDoS-Guard
How to protect Internet Resource from bots using Big Data
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Sergey Matsotskiy, Founder, GS-Invest
10 YEARS: Hopes, Disappointments, Perspectives!
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Nikita Kardashin, Head of Intellectual Systems Development Department, Naumen
IT Management Tools to BIG DATA Support
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Roman Strekalovsky, Lead Architect, Unidata
Big Metadata: the key to big data
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Yuliya Urojaeva, 1st Deputy Head, Moscow Deputy Major Office of Social Development, Government of Moscow
Medical Decision Support System
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Farid Madani, CEO, Delovye Linii
BIG DATA in Logistics: from routing to demand forecasting
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Igor Bashkov, Commercial Director, Netrica Med
Practical Benefits of Healthcare Digital Contour: Shift to Primary Data-based Analytics
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Yury Emelyanov,Architect, Development Leader, Data Management Department, Sber
Anastasiya Kulikova,Analyst Team Lead of Data Supermarket, Sber
Ilya Pozdnyakov,Managing Director, IT Lead of Data Loading and Enrichment Cluster, Sber
Data Supermarket — a Single Window into Sber Data Universe
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Pavel Egorov, Head of Industry Big Data Projects,Croc
Ruslan Sultanov, Analytics System Architect, Croc
Analytics in Manufacturing: Four Business Needs, One IT Solution