About the Event

As data continues to grow in both volume and formats across multiple deployments, performing analytics has become more complicated. By 2019, 75% of analytic solutions will incorporate 10 or more external data sources. Organizations able to glean insights from this diverse data set will have competitive advantages, from deeper understanding of customers, better responsiveness to trends, and more efficient operations, to name just a few.

This reality of data diversity has given rise to the “data lake”-a data management architecture that allows organizations store and analyze a wide variety structured and unstructured data.

A data lake is a method of data storage. What makes this approach unique is that all of the data is stored in its native format. This means that data in the lake might include everything from highly structured files to completely unstructured data such as videos, emails and images.

In addition, it is not only IT that is now integrating data. Business users are also getting involved with new self-service data preparation tools. The question is, is this the only way to manage data? Is there another level that we can get reach to allow us to more easily manage and govern data across an increasingly complex data landscape?

This seminar/Conference looks at the challenges faced by companies trying to deal with an exploding number of data sources, collecting data in multiple data stores (Cloud and on-premises), multiple analytical systems and at the requirements to be able to define, govern, manage and share trusted high quality information in a distributed and hybrid computing environment.

It also explores a new approach of how IT data architects, business users and IT developers can collaborate together in building and managing a Logical Data Lake to get control of your data. This includes data ingestion, automated data discovery, data profiling and tagging and publishing data in an information catalog.

It also involves refining raw data to produce Enterprise Data Services that can be published in a catalog available for consumption across your company. We also introduce multiple Data Lake configurations including a centralised Data Lake and a ‘logical’ distributed Data Lake as well as execution of jobs and governance across multiple data stores.

Topics Covered Include:

  • Strategy & Planning
  • Methodology & Technologies
  • The Data Refinery Process
  • Organizing the Data Lake
  • Compliance In The Data Lake
  • Best practices for data lakes
  • Stages of data-lake development
  • Data lakes and big data analytics: the what, why and how of data lakes
  • Data Lake Modeling and Management Systems
  • Architecting a Serverless Data Lake
  • Data lakes: storage, analytics, visualization and action
  • Why Participate

  • Hear from leading subject experts
  • Event includes the latest state-of-the-art research, practical applications and case studies.
  • Excellent networking opportunities throughout the day with all participants, including presenters and exhibitors.
  • Enterprise benefits viz. Simplified data access, Enhanced agility for data users, reduced costs and Improved decision making.
  • Up-skill & re-skill yourself to remain competitive & relevant
  • Interactive Learning with Chalk-Talks & Open-Talks, scheduled interactions with speakers & panel-discussions.
  • Get conference material for all talks & certificate of participation.
  • Who Should Attend?

  • Database Administrators
  • Database Developers
  • Business Intelligence Professionals
  • Big Data Professionals
  • Solutions Architects
  • Data Scientists
  • Database Managers & Team Leaders
  • Technical Leads
  • Business Analysts
  • Data/Analytics Consultants
  • CTOs/CIOs/IT Directors
  • Project Managers/Leads
  • Register Now

    Revolutionizing the World

    Visionary Speakers

    Chetan Dixit

    Vuclip Inc

    Nimish Somaiya


    Deveshri Patel


    Don't Miss a Thing

    Event Programme

    8:45AM - 09:00AM


    Pick up your name badge and goodie bag

    09:00AM - 09:30AM


    Conference Overview

    09:30AM - 10:00AM


    Are you ready to build a data lake? Here is a checklist of what you need to make sure you are doing so in a controlled yet flexible way.

    10:00AM - 10.30AM

    Chetan Dixit, Senior Director- Insights, Vuclip Inc

    Organising Data Lakes in Public Cloud (Google Cloud Platform)

    Read More

    Organizations in the past have struggled with storage requirements for ever growing data and increased computational demand to process this data. With advent of Hadoop there was a way to handle structured and unstructured data at scale but that came with the cost of maintaining a huge infrastructure. In recent years leading Public Cloud Service Providers (CSP) have started offering lot of capabilities in Data Engineering and Data Analytics domain. This has forced many organizations to rethink about their Data Strategy i.e. Storage, Processing and Analytics including ML & AI. There are lot of capabilities available with CSPs which could increase your execution pace and time to market for Data products and applications. In this presentation we will look at approach towards creating and managing Data Lake on Google Cloud Platform (one of the CSPs) and how to leverage Data Lake to create your Data Marts, Data warehouse, Predictive Analytics and Machine Learning applications.

    10.30AM - 11:00AM

    Deepak Mane, Big Data Solution Architect- Analytics and Insights, TCS

    Kiran Shibe, Project Manager respectively, TCS

    Different Architecture pattern for building Enterprise Data Lake

    Read More

    A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured, and unstructured data. an enterprise data lake provides the necessary foundation to clear away the enterprise-wide data access problem to all groups/departments in organization. We have seen many multi-billion dollar organizations struggling to build a Enterprise data lake to establish a culture of data-driven insight and innovation because not clear understanding business requirement , data on boarding, analytics and data consumption policy , no proper design on data lake including technology , storage etc. Not following proper architecture patterns for data ingestion , analytics etc.

    In this talk , We will cover different architecture pattern to build enterprise data lake including ingestion , analytics and Data visualization such as Kappa , Fabric , Lambda , Wind etc. Even we will cover best practices and open source technology stack can help to build enterprise data lake.

    11:00AM - 11:30AM

    Networking Break

    Tea with Cookies

    11.30AM - 12:00PM

    Nimish Somaiya, AVP - Data Science, Reliance

    Deveshri Patel, Analytics & Lead - Digital Transformation respectively, Reliance

    Data lakes and big data analytics: the what, why and how of data lakes Strategy & Planning Best practices for data lakes

    Read More

    During the session we shall cover the people, process, architecture and technology elements involved in setting up data-lakes. The session shall also include, the data-lake lifecycle, stakeholder management and positioning with respect to data-lakes. Finally, we shall cover best practices, mistakes to avoid and pitfalls in building data-lakes.

    12:00PM - 12:30PM


    Moving data analytics to the source – the data lake and the edge

    12:30PM - 01:00PM


    Lessons Learned Building Lakes: Tips for Big Data as a Service in your Enterprise

    01:00PM - 02:00PM

    Lunch Break

    Five star buffet for everybody

    02:00PM - 02:30PM


    Add value & improve data quality with Data Science & Machine Learning (no math!)

    02:30PM - 03:00PM


    Build Predictive model using Azure Machine learning Studio

    03:00PM - 03:30PM


    Building a modern data architecture

    03:30PM - 04:00PM

    Networking Break

    Tea with Cookies

    04:00PM - 04:30PM


    Data lake challenges, risks and evolutions

    Event Sponsors


    Super Early Bird

    8,000 + GST

    • Valid Till March 15
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
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    Early Bird

    9,000 + GST

    • Valid Till April 15
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
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    10,000 + GST

    • Valid Till May 15
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
    Join Now

    Where to find us

    Venue and Info


    Royal Orchid Central


    Marisoft - I, Annexe Building, Kalyani Nagar, Pune, Maharashtra 411014



    020 4000 3000



    Unicom India

    Please write to us contact@unicomlearning.com
    Phone:+91 95388 78799

    Unicom UK

    Please write to us contact@unicomlearning.com
    Phone:+ 44 1895 819 474

    Contact Form


    Confirm your CANCELLATION in writing up to 15 working days before the event and receive a refund less a 10% service charge. Regrettably, no refunds can be made for cancellations received less than 15 working days prior to the event.

    However, SUBSTITUTIONS are welcome at any time and is done at no extra cost. The organisers reserve the right to amend the programme if necessary.

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