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Date/Time
Date(s) - 09/02/2019
9:00 am - 5:30 pm

Location
Survey No 210, Microsoft Campus (Gachibowli, Hyderabad)


Knowledge Partner(s)



Free full day learning event Free Full Day Multi-Track Event Data Platform Summit 2019


 

Data Platform Day. Free (Full Day) Multi-Track Event – Schedule

Time Session Title Abstract Track Speaker
9: 00 am – 10: 00 am Machine Learning with Azure Databricks Overview – Getting Started Accelerate big data analytics and machine learning with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.

Set up your Spark environment in minutes and autoscale quickly and easily. Data scientists, data engineers, and business analysts can collaborate on shared projects in an interactive workspace. Apply your existing skills with support for Python, Scala, R, and SQL, as well as deep learning frameworks and libraries like TensorFlow, Pytorch, and Scikit-learn. Native integration with Azure Active Directory (Azure AD) and other Azure services enables you to build your modern data warehouse and machine learning and real-time analytics solutions

Data Science Suvarna Raju Madhey (Microsoft) &
Prakash Krishnaswamy (Microsoft)
10: 00 am – 10: 15 am (Tea/Coffee Break)
10: 15 am – 11: 00 am DataPlatformGeeks & Edvancer Introductions
Data Platform Summit 2019 Community Launch
11: 00 am – 12: 00 pm Want to Upgrade To a Career in AI? Here’s What You Need To Know. In this session you will learn all about AI in terms of what is it, why is there so much hype on AI, how are companies using AI to benefit. You will also understand more about what you can do to transition your career from data management & analysis to data science and AI. Data Science Lalit Sachan (Co-Founder, Edvancer)
12: 00 pm – 12: 45 pm (Lunch Break) (You need to buy your own lunch. Please see below)
12: 45 pm – 1: 45 pm In depth Machine Learning with Azure Data bricks Azure Databricks opened up easy, improved and powerful ways to do machine learning with big data at scale. This session will talk about the different options available in Azure Databricks and how you can get started Below listed points will be covered in the sessions.
a. Why Machine learning
b. Introduction to machine learning
c. Life cycle of machine learning
d. Challenges
e. Quick overview of a ML Algorithm and basic terminologies
f. Setting up ML environment in Databricks
g. Machine learning options available in Databricks MLlib,H20 and third-party libraries
h. Demo
Data Science Pramod Singla (Microsoft) & Sakshi Chourasia (Microsoft)
01: 45 pm – 02: 00 pm (Tea/Coffee Break)
02: 00 pm – 03: 00 pm Execution Plan Analysis & Query Tuning Learn how to read execution plans, identify problems and fix them for better query performance. See real-world examples of query tuning Database Administration and Development Amit Bansal (MCM, MVP, SQLMaestros)
03: 00 pm – 03: 15 pm (Tea/Coffee Break)
03: 15 pm – 04: 15 pm SQL Server Indexes In this session, you will about Indexes in SQL Server Database Administration and Development Satya Ramesh (Technical Consultant, SQLMaestros)
04: 15 pm – 04: 30 pm (Closing & Prize Distribution)

Time Session Title Abstract Track Speaker
9: 00 am – 10: 00 am Advanced Analytics with Azure Analysis Services • Overview of Microsoft BI Hybrid architecture
• AAS Architecture
• How AAS (PaaS) is helpful over on-prem SSAS tabular
• How to migrate models from on-prem SSAS tabular to AAS
• How to build models in AAS for hybrid data (cloud +on-premise)
• How to choose specific tier from available tiers to get better ROI
• Demo
Business Intelligence and Advanced Analytics Siva Reddy (Microsoft)
10: 00 am – 10: 15 am (Tea/Coffee Break)
10: 15 am – 11: 00 am DataPlatformGeeks & Edvancer Introductions
Data Platform Summit 2019 Community Launch
11: 00 am – 12: 00 pm Want to Upgrade To a Career in AI? Here’s What You Need To Know In this session you will learn all about AI in terms of what is it, why is there so much hype on AI, how are companies using AI to benefit. You will also understand more about what you can do to transition your career from data management & analysis to data science and AI. Data Science Lalit Sachan (Co-Founder, Edvancer)
12: 00 pm – 12: 45 pm (Lunch Break) (You need to buy your own lunch. Please see below)
12: 45 pm – 1: 45 pm DB Maintenance Understanding Indexes & Statistics and effective ways to perform Database Maintenance Database Administration and Development Vijay Reddy (Regional Mentor, DPG)
01: 45 pm – 02: 00 pm (Tea/Coffee Break)
02: 00 pm – 03: 00 pm Performance Tuning in the Big Data world Coming Soon Big Data Suvankar Dey (Microsoft)
03: 00 pm – 03: 15 pm (Tea/Coffee Break)
03: 15 pm – 04: 15 pm SQL Server Data Partitioning Database Administration and Development Vijay Reddy (Regional Mentor, DPG)
05: 00 pm – 05: 30 pm (Closing & Prize Distribution)

Lunch Arrangements (please read carefully):

  • Data Platform Day Events (by DataPlatformGeeks Community) are free, full-day, multi-track, in-person events.
  • Since seats are limited, and therefore, we are encouraging registrations from only those DPG members who are willing to participate in the event from 9 am to 5: 30 pm (full day).
  • Half-day attendance (before or after lunch) is strictly prohibited.
  • Therefore, you have to buy your own lunch coupon.
  • DataPlatformGeeks has worked out a highly subsidized rate of Rs 124 (including GST).
  • Lunch coupons have to be purchased in advance so that we can guarantee you a seat and give a confirmed number to our F&B vendor.
  • After you have booked your seat, you will get an email with lunch payment link.
  • City/Location Hyderabad
    Date & Time 09th February 2019 (9:00 AM – 5:30 PM)
    Note: Come by 8:30 AM for registration and security formalities. Please be seated by 9:00 AM.
    Venue Survey No: 210, Microsoft Campus (Gachibowli. Hyderabad)
    Mannikonda Jagir, Gachibowli
    Hyderabad, Telangana 500032
    FAQ • Why is the lunch coupon compulsory?
    As stated earlier, Data Platform Day is a full day event targeted towards people who wish to learn with us for the whole day and are willing to spend their Saturday with us, learning & networking. To ensure that lunch is available for our attendees who are there for the whole day, we have to give Microsoft Cafeteria a confirmed number so that lunch can be prepared accordingly. To achieve that, buying a lunch coupon @ INR 124 is compulsory. And we strongly discourage half-day attendance. Lunch coupon is just 124 rupees (highly subsidized).

    • Can I attend the event half-day?
    We encourage full-day participation. If you still want to leave the event in between, you may do so. But still, you have to buy the lunch coupon in advance.

    • Can I come in second half?
    No. Registrations will close at 9.00 am.

    • I don’t want to have lunch at Microsoft Cafeteria. I prefer to eat outside and come back. Is that possible?
    As mentioned earlier, buying the lunch coupon is compulsory to guarantee a seat, even if you wish to eat somewhere else.

    • Apart from buying the lunch coupon, do I need to pay for anything else?
    No. The event is absolutely free. You are just buying your own lunch coupon.

    • Is the amount refundable?
    No. The amount paid for the lunch is Non-Refundable.

     

    Bookings

    Bookings are closed for this event.