Data Platform Day, Bangalore – April 23, 2016, Saturday at Microsoft (Full Day)

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Data Platform Day, Bangalore – April 23, 2016, Saturday at Microsoft (Full Day)

Lunch: Lunch will be available

Dear SQL Geek,

SQLServerGeeks.com cordially invites you to next dose of Data Platform Day (Full Day) on 23 April 2016 (Saturday) at Microsoft Bangalore from 9.00 am to 5.00 pm. This is a free community event.

Session details are as follows:

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Session 1: SQL Server 2016 - Performance Troubleshooting with Query Store and Live Query Plan

Abstract: Have you ever –

• had your system down/slowed down and everyone waiting for you to magically fix the problem ASAP?
• upgraded an application to the latest SQL Server version and had an issue with a plan change slowing your application down?
• had a problem with your Azure SQL Database and been unable to determine what was going wrong?
..Then this session is just for you!
In this session, we will familiarize you to the new and powerful feature announced in SQL Server 2016 – Query Store. This feature will be provide greater insights into query execution patterns enabling them to troubleshoot query performance issues more efficiently. The following topics will be covered as part of the session –
• Introduction
• Key Usage Scenarios
• Query Store Architecture
• Accessing Query store information using Reports and Queries
• Live Query Plan

Speaker: Devashish Salgaonkar (Microsoft)

Session 2: Introduction: Azure SQL Datawarehouse

Abstract: SQL Data Warehouse is an elastic data warehouse as a service with massive parallel processing and full enterprise-class SQL experience. Azure SQL DW offers elastic performance and scale to 1+ PB, market leading price/performance, and true SQL experience across structured and unstructured data. In this session, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause) and hybrid data clouds with Hadoop integration via Polybase.

Speaker: Nilabja Ball (Microsoft)

Session 3: Azure Data Lake

Abstract: Azure Data Lake is a hyperscale repository for big data analytic workloads. It dynamically provisions resources and lets you do analytics on exabytes of data. Data Lake Analytics is a cost-effective solution for running big data workloads. Join this session to figure out what and how it’s different from another analytic services. The demos will blow you to see how complexity broke down in simplicity.

Speaker: Sudhir Rawat (Microsoft)

Lunch Break: Lunch Break

Session 4: Power BI

Abstract: This short tour of Power BI Desktop gets you acquainted with how it works, demonstrates what it can do, and accelerates your ability to build robust data models — along with amazing reports — that amplify your business intelligence efforts.

Speaker: Dipthi Ananthraman (Microsoft)

Session 5: What's new in SQL 2016

Abstract: SQL 2016 is in air in data platform world. This session will walkthrough on latest innovation coming up with SQL Server 2016. Definitely a good sessions to learn high level items and explore opportunity in data platform area.

Speaker: Avanish Panchal (SSG) & Sandip Pani (SSG)

Session 6: SQL Server Concurrency Problems

Abstract: Well these are not SQL Server’s Concurrency Problems, there are concurrency problems that can happen in SQL Server :) – Come to this session if you want a deep dive in concurrency problems that are causing performance issues in SQL Server. You are investigating everything else, but the problem lies in concurrency. We will go very deep into the nuts-and-bolts of how SQL Server handles concurrency.

Speaker: Amit R S Bansal (SQLMaestros)

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City: Bangalore

Date & Time: Saturday, 23 April 2016 9.00 am to 5.00 pm

Venue: Microsoft Corporation, 4th Floor, Hamilton Hall, Signature Building, Embassy Golf Links Business Park, Intermediate Ring Road, Domlur, Bangalore – 560071

Parking: Parking is available at Pyramid Food Court

Note: Come by 8.30 am for registration and security formalities. Please be seated by 9.00 am.

We look forward to your participation. Please forward this email to your friends & colleagues to make them aware of the event. Your efforts in spreading the word will be highly appreciated.

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