Map Unavailable

Date/Time
Date(s) - 20/04/2019
9:00 am - 4:30 pm

Location
Microsoft Campus


Knowledge Partner(s)



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
09: 30 am – 10: 30 am Azure Cosmos DB in Enterprise Architectures Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service that enables us to build applications and manage data at Planet scale. In this talk we will compare Cosmos DB with various data store models in the current world. And then dive into various Design and architecture patterns followed in Cosmos DB applications. Azure Kranthi Kumar Medam (Microsoft)
10: 30 am – 10: 45 am (Tea/Coffee Break)
10: 45 am – 11: 30 am DataPlatformGeeks Introduction
11: 30 am – 11: 45 am (Tea/Coffee Break)
11: 45 am – 12: 45 pm Machine Learning (Mulitple linear regression and Decision Trees) Data Science Deepak Pradeep Kumar (Microsoft)
12: 45 pm – 01: 30 pm (Lunch Break) (You need to buy your own lunch. Please see below)
01: 30 pm – 02: 30 pm Machine Learning (Dynamic Classifier Selection) Over last decades, research from worldwide communities are investing lot of efforts in identifying and defining approaches which can predict possibility of defect occurrence of source code files based on data captured as static software metrics for Object Oriented design. These approaches use machine learning to classify classes into buggy or not buggy or providing possibility that a class can show faulty behaviors in future. Empirical evaluation of various approaches available to predict fault behavior indicated that there is no machine learning classifier which is providing best accuracy.

Since there are no classifiers which can provide best accuracy ensemble methods are developed to estimate the bug-proneness of a class by combining predication outcome obtained from different classifiers. Following on the grounds of ensemble learning we will create an adaptive approach for performing bug prediction by dynamically selecting one classifier from set of machine learning classifiers that predicts if a class is prone to bug or not based on characteristics of static software metrices captured for class. Therefore, I am proposing new Adaptive Approach for Bug Prediction using Dynamically Classifier Selection (ADCS) which dynamically selects best Supervised learner which better predicts bug-proneness of a class based on characteristics of class.

Data Science Ashutosh Upadhyay (Microsoft)
02: 30 pm – 02: 45 pm (Tea/Coffee Break)
02: 45 pm – 03: 45 pm SQL Server Backup and Restore Database Administration and Development Satya Ramesh (Technical Consultant, SQLMaestros)
03: 45 pm – 04: 00 pm (Closing & Prize Distribution)

Time Session Title Abstract Track Speaker
09: 30 am – 10: 30 am Building the Data Lake using Azure Databricks Azure Himanshu Gohel (Microsoft)
10: 30 am – 10: 45 am (Tea/Coffee Break)
10: 45 am – 11: 30 am DataPlatformGeeks Introduction
11: 30 am – 11: 45 am (Tea/Coffee Break)
11: 45 am – 12: 45 pm Structured Streaming with Azure Databricks Azure Veeren Kumar Chimbili (Microsoft) & Ramakrishna Vatrakunta (Microsoft)
12: 45 pm – 01: 30 pm (Lunch Break) (You need to buy your own lunch. Please see below)
01: 30 pm – 02: 30 pm Real World Query Tuning in SQL Server (HD Recorded Session) Database Administration & Development Amit Bansal (SQLMaestros)
02: 30 pm – 02: 45 pm (Tea/Coffee Break)
02: 45 pm – 03: 45 pm SQL Server Data Partitioning Database Administration and Development Vijay Reddy (Regional Mentor, DPG)
03: 45 pm – 04: 00 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 4: 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 20th April 2019 (9:00 AM – 4:30 PM)
    Note: Come by 8:00 AM for registration and security formalities. Please be seated by 8:45 AM.
    Venue Survey No: 210, Microsoft Campus (Gachibowli. Hyderabad), Building 3,
    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 8.45 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.