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

    Dr. Shankar Ramamoorthy


    Hindol Basu

    Actify Data Labs


    Presidency University

    Bijoy Khandelwal

    Actify Data Labs

    Sachin Mudholkar

    TalentPod Techserve Pvt. Ltd

    Don't Miss a Thing

    Event Programme

    8:45AM - 09:00AM



    09:00AM - 09.15AM

    Conference Overview


    09:15AM - 10.00AM

    Dr Shankar Ramamoorthy, Customer Success Officer, HARMAN

    Mature Data: the new Oil

    Read More

    A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans—Alphabet (Google’s parent company), Amazon, Apple, Facebook and Microsoft—look unstoppable. They are the five most valuable listed firms in the world. Their profits are surging: they collectively racked up over $25bn in net profit in the first quarter of 2017. Amazon captures half of all dollars spent online in America. Google and Facebook accounted for almost all the revenue growth in digital advertising in America last year.

    Such dominance has prompted calls for the tech giants to be broken up, as Standard Oil was in the early 20th century. This newspaper has argued against such drastic action in the past. Size alone is not a crime. The giants’ success has benefited consumers. Few want to live without Google’s search engine, Amazon’s one-day delivery or Facebook’s newsfeed. Nor do these firms raise the alarm when standard antitrust tests are applied. Far from gouging consumers, many of their services are free (users pay, in effect, by handing over yet more data). Take account of offline rivals, and their market shares look less worrying. And the emergence of upstarts like Snapchat suggests that new entrants can still make waves.

    10:00AM - 10:45AM

    Dr.G.SATHIS KUMAR, Associate Professsor, Presidency University, Bangalore

    Market Synopsis of Data Lakes Market

    Read More

    Recent times, globally there is an increasing deployment of data lakes in banking and financial services sector is boosting the growth of the market. Data lake describes any large data pool in which the data requirements are not defined until the data is queried. Data lakes provide various benefits like scalability and can accommodate high speed data. It also offers advanced analytics by utilizing the availability of large quantities of coherent data. Global Data Lakes Market was valued at USD 3.24 billion in 2017, and is expected to reach a value of USD 14.01 billion by 2023 at a CAGR of 27.4%, over the forecast period (2018-2023). Data Lakes have become an economical option for many companies rather than an option for data warehousing. The growing use of IoT in many offices and informal spaces has emphasized in the need for data lakes for quicker and efficient manipulation of data. The data lakes market is segmented by software and services. The services segment is expected to grow at the highest CAGR during the forecast period, out of which data lakes services in the services segment is projected to witness the highest demand due to the growing need of data lake software solutions across organizations. Major business functions for which the data lake is deployed are marketing, sales, operations, finance, and human resources. Organizations are fast deploying data lakes solutions either on their premises or on-demand. The demand for on-demand or cloud-based data lakes market solutions is increasing due to the cost-effective and time-efficient features; its growth is specifically high in SME\'s where low cost solutions are much required.

    10:45AM - 11:15AM

    Networking Break

    Tea with Cookies

    11.15AM - 12:00PM

    Farhat Habib, Director - Data Sciences, Inmobi

    Fraud and anomaly detection with Big Data

    Read More

    Mobile advertisement is increasingly used among many applications and allows developers to obtain revenue through in-app advertising. With the growth of mobile advertising, fraud has become an issue as unscrupulous operators use various means to drive advertising revenue toward them. Mobile advertising is a data rich world, and I will talk about how various signals are combined to detect and mitigate invalid traffic. Different methods of detecting invalid traffic from simple rule based blocks to sophisticated Generative Adversarial Networks for detecting novel types of fraud will be discussed.

    12.00PM - 12:45PM

    Sunderjeet Singh, Regional Business Head, SQream

    Are Valuable Business Insights Drowning in Your Data Lake?

    Read More

    Today’s organizations increasingly rely on leveraging their exponentially growing data stores to gain actionable business insights. The shift to a data-driven approach has caused many organizations to store data in large data lakes, yet their analytical platforms struggle with the growing volumes of data. Analytics can take hours or even days, and require time consuming preparation. Some complex analytics simply cannot be done.

    This session will demonstrate:

  • How the power of GPUs can be used to accelerate analytics
  • How to analyze more data with minimal data preparation
  • How organizations in India and abroad are leveraging the full scale of their data to gain a competitive advantage
  • 12:45PM - 01:45PM

    Lunch Break

    Five star buffet for everybody

    01:45PM - 02:30PM

    Round Table Discussion

    Participants join a table to discuss one or more of the Conference themes

    02:30PM - 03:15PM

    Hindol Basu, CEO, Actify Data Labs

    Bijoy Khandelwal, Chief Technology Architect, Actify Data Labs

    Building scalable data lake and demonstrating ROI – within an implementation timeline of two months: Case study

    Read More

    For machine intelligence to work, one needs historical data to build the intelligence and current data (or data as of the present moment) to apply the intelligence. Data is the competitive edge for an organization to build an edge in AI and Machine Learning However, the data in most organizations are extremely disaggregated.

    Putting all the data together and resolving data quality challenges is the first and the most difficult step in building machine intelligence. In addition, the ability of tapping into new data sources or obtaining external data remains the key differentiator in building strong machine intelligence that is difficult for a competitor to replicate.

    While data consolidation is a foundation for the success of any data driven strategy; yet data consolidation in itself does not provide immediate business value to an organization. To demonstrate the ROI of the data lake, it was critical to allow business users to build it through a drag and drop functionality in such a way that the data lake is built in an agile approach to support key businesses use cases. Hence, instead of taking a conventional approach a use case driven approach was adopted. But a risk of the use case driven approach is the fact that the data lake may become too narrow in scope. Extensive flexibility and a component driven solution was created to ensure that the data lake is not limited to a few use cases, but is built as a generic solution.

    The approach for building the data lake and providing business users the power to build it incrementally will be discussed in the presentation.

    03:15PM - 04:00PM

    Sachin Mudholkar, Chief Technology Officer, TalentPod Techserve Pvt. Ltd

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

    Read More

  • Why Push Analytics to the Edge?
  • Edge Analytics – Need for paradigm shift
  • Cellular Vs IoT Technologies
  • IoT Data Processing and Storage
  • Handling Limited Resources (Three B’s)
  • Key Edge Analytics Stages and Framework
  • Use Cases for Analytics at the Edge
  • IoT Analytics
  • Video Analytics
  • What is Data Lake?
  • How do Data Lakes Work and who is using it?
  • Why Data Lakes are important for Computing?
  • How can edge computing and cloud computing work together ?
  • When IoT needs the Edge
  • When Cloud works the best
  • Towards the balanced strategy
  • 04:00PM - 04:30PM

    Networking Break

    Tea with Cookies

    Event Sponsors


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    8,000 + GST

    • Valid Till February 25
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
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    Early Bird

    9,000 + GST

    • Valid Till March 25
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
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    10,000 + GST

    • Valid Till April 25
    • Conference Attendance
    • Tea/Coffee and Lunch
    • Softcopy of all the presentations
    • Conference Kit
    Join Now

    Where to find us

    Venue and Info


    Hyatt Centric MG Road Bangalore


    1/1, Swamy Vivekananda Rd, Someshwarpura, Ulsoor, Bengaluru, Karnataka 560008



    080 4936 1234



    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.

    Important Disclaimer:The organizers reserve the right to make substitutions or alterations and/or cancel a speaker(s) if deemed necessary by circumstances beyond its control.

    INDEMNITY: Should for any reason outside the control of UNICOM Training & Seminars (P) ltd (hereafter called UNICOM), the venue or the speakers change, or the event be cancelled due to industrial action, adverse weather conditions, or an act of terrorism, UNICOM will endeavour to reschedule, but the client hereby indemnifies and holds UNICOM harmless from and against any and all costs, damages and expenses, including attorneys fees, which are incurred by the client. The construction validity and performance of this Agreement shall be governed by all aspects by the laws of India to the exclusive jurisdiction of whose court the Parties hereby agree to submit.