The document provides an overview of the speaker's experience and qualifications. It lists the speaker's 7+ years of experience working with Microsoft's BI stack, current role as a MS BI Solution Architect, consulting experience, certifications including MCSA and MCTS in SQL Server, education including a BE in Computer Science and an MBA. It also provides links to the speaker's blogs and details on various SQL and BI articles authored.

1. Its
All
About
Data

2. Who Am I
• 7+ years of experience in Microsoft BI Stack
• Currently working in The Most Group as MS BI Solution Architect
• Microsoft BI Head in EnterprizeERP Consultancy Service
• Consulting partner of Right Click Info , Mentalist Network
• NMUG Community Leader , Speaker
• Microsoft Community Representative for Navi Mumbai region.
• SQL PASS Chapter Lead for Mumbai & Navi Mumbai
• MCTS: Microsoft® Certified Technology Specialist -SQL Server 2008,Business Intelligence
Development and Maintenance
• MCSA: Microsoft® Certified Solutions Associate -SQL Server 2012 – Querying Microsoft
SQL Server 2012,Administering Microsoft SQL Server 2012 Databases, Implementing a
Data Warehouse with Microsoft SQL Server 2012
• CSM: Certified Scrum Master from Scrum Alliance, US
• BE-Computer Science & Engineering , RAIT , Mumbai
• MBA-Information System, Arianth College , Pune
• Blogging @ http://bimentalist.com , http://sqlmentalist.com
• BI Articles :: 200+ , SQL Article – 200 +, SQL Script – 200+

4. Why
Data Is
Important !!

5. Gartner Magic Quadrant DWH & BI 2013
Gartner delivers technology research to global technology business leaders to
make informed decisions on key initiatives.

6. 6
SQL Server Release timelines
1996
SQL Server 6.5
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
2005
SQL Server 2005
Unicode Support
Native XML
SQLCLR
Service Broker
Integration Services
1993
SQL Server 4.21
(NT)
1995
SQL Server 6.0
1989
SQL Server 1.0
(OS/2)
2000
SQL Server 2000
Reporting Services
2010
SQL Server 2008 R2
Data-tier Apps
StreamInsight
PowerPivot
Master Data Services
2008
SQL Server 2008
Sparse Columns
Spatial Types
FILESTREAM
1998
SQL Server 7.0
Dynamic Locking
Auto-Tuning
Full-text search
Replication
Analysis Services
1991
SQL Server 1.1
(OS/2)
2012
SQL Server 2012
AlwaysOn
Columnstore
FileTable
Semantic Search
Power View
& Now Introducing ..

7. Business Intelligence
Agile BI Out of The Box, Forrester Research, Inc., April 22, 2010
32% of Excel users are
comfortable with using it
for “Advanced Analysis”
e.g., PivotTables
Only 28% of potential
BI users have any
meaningful access
31% of all BI initiatives
partially meet or don’t
meet the business
goals originally set
Knowledge workers spend
too much time looking for,
not enough time analyzing
the information.
Lines between producers
and consumers of
information have largely
disappeared.
Requirements change way
too fast for IT and
traditional technology to
keep up.
– Excel Segmentation Research – BI Survey 9, BARC
– Business Intelligence Purchase
Drivers and Adoption Rates, Gartner

8. Evolution of BI
IT has been busy keeping up with the growing demand for BI…
Self-Service BITraditional BI
IT Pro
End Users
Existing
Data
LOB
Applications FilesData Marts
ETL/Data
Quality
Analysis Reports Dashboards &
Scorecards
Provision
Analysis
Cubes Data Warehouse
Data
Staging
Spreadsheets
Specialized Tools
Harvesting existing data, cleaning it and staging it …To provision reports, dashboards & scorecards to meet End User demand.But business is outpacing IT and End Users are demanding Agility …Rapidly breaking down the barriers of Control with Self-Service BI!Is it possible to balance Control with Agility?

9. Analysis
Services
Reporting
Services
Integration
Services
Master Data
Services
SharePoint
Scorecards
Excel
Workbooks
PowerPivot
Applications
SharePoint
Search &
Dashboards
Microsoft Business Intelligence
Most widely deployed EIM
& BI Platform
Most Broadly adopted
Productivity &
Collaboration Tools
Odata
Feeds
LOB
Apps

10. SQL Server 2012 Highlights
High
Availability
SQL Server
AlwaysOn
Security &
Manageability
User-Defined
Server Roles
Web &
Breadth
PHP Driver
Scalability &
Performance
Distributed
Replay
Application
Centric Failover
Contained
Database
Authentication
Local DB
Runtime
Fast FILESTEAM UTF-16
Readable
Secondaries
Fast Full-Text
Search
Reliable,
Integrated Failover
Detection
Multiple
Secondaries
Audit
Enhancements
Paging for result
sets
Column Store
Index, “Apollo”
HA for
StreamInsight
Management
Pack for High
Availability
Backup
Secondaries
JDBC 4.0 driver
Support for ARM
processors
Active Directory
w/ SharePoint for
SSRS
Default Schema
for Windows
Group
Windows Server
Core Support
Beyond
Relational
FileTable
SQL Server Data
Tools
Online
Operations
Win32 Access
to Database files
Semantic Search
Platform
Full Globe Spatial
Support
DAC
Enhancements
ODBC for Linux
Fast Spatial
Performance
Hybrid
Applications with
SQL Azure
Up to 15K
Partitions/Table
EIM
SSIS Server
Business
Intelligence
Unified Semantic
Model
Power View Data Quality
Alerting
Enhanced MDSIn-memory BI for
corporate
Sysprep for AS
PowerPivot
Enhancements
Reporting as
SharePoint Shared
Service
DBC & OLTP
Appliances/RAs
MDS add-in for
Excel

11. AlwaysOn Reliable Secondaries
FileTable
ColumnStore Index
15k Partitions
SQL Server Data Tools
Power View
BI Semantic Model
Data Quality Services
Full-Text Search Performance
Reporting Alerts
ODBC Driver for Linux
Statistical Semantic SearchWindows Server Core Support
Multiple Secondaries
Availability Groups
Default Scheme for Windows Groups
T-SQL Enhancements
Full Globe Spatial
SSMS to Windows Azure Platform
PowerPivot Enhancements
Master Data Management Excel Add-in
PowerShell 2.0 Support
PHP & Java Connectivity
SQL Audit for All Editions
CDC Support for SSIS
New SSIS Design Surface
Online Operation Enhancements
Multi-site Clustering
Unstructured Data Performance
Resource Governor Enhancements
Database Recovery Advisor
HA for StreamInsight
Flexible Failover Policy
Extended Events Enhancements
Contained Database Authentication
SharePoint Active Directory Support
SQL Server Express LocalDB
User-defined Audit
Audit Filtering
Audit Resilience
FTS Support for Czech and Greek
AlwaysOn Connection Director
Ad Hoc Reporting
SSIS Troubleshooting
SSIS Package Management
T-SQL Debugger Enhancements
Spatial 2D Support
Unstructured Data Performance
11

12. Organizational
Compliance
Optimized
Productivity
11
Extend Any
Data, Anywhere
Fast Time
to Solution
Scalable
Analytics & DW
8
Credible,
Consistent Data
Peace of
Mind
Managed Self-
Service BI
4
Rapid Data
Exploration
3
Blazing-Fast
Performance
2
Required 9s
& Protection
1
Scale on
Demand
5 76
12109
II-BREAKTHROUGHINSIGHT
III-CLOUDONYOURTERMS
I-MISSION CRITICAL CONFIDENCE
12
12 Important Feature's of SQL Server 2012

13. Secure

14. Complete & Consistent Data Platform

15. In-Memory Built-In

16. Seamless Transition of the BI Semantic Model
Across BI Spectrum
TeamBIPersonalBI CorporateBI
PowerPivot for Excel PowerPivot for SharePoint Analysis Services
My Context
BI solution created by user.
Context is only for user &
exists as document.
Our Context
BI Solution created by
power user. Context is for a
small team & it’s managed
on a server.
The Org’s Context
BI Solution created by IT,
Established corporate context
& is reusable, scalable and
backed up.
AlignedEmpowered

17. Who have accepted SQL Server 2012

18. Why do customers chose SQL Server?
18
Increased productivity and decistion Makting
thru Self Service BI + IT Management
„Analysis take now seconds instead of days“
High Availability, Scalability & Security
Up to 100%, SQL is leading in lowest sec. patches rate
Reduce IT costs through IT Management
69% reduced DB costs, 50% lower Admin. efforts
Lower Purchase Costs
All BI features in one BI Edition, SQL & Office are already in use

19. Enabling Integration & Sharing
SQL Server 2012 Master Data Services
Versioning
Validation
Authoring business rules to
ensure data correctness
Modeling
Entities, Attributes, Hierarchies
MDS
Role-based Security and
Transaction Annotation
Master Data
Stewardship
External
(CRM, ..)Excel DWH
Loading batched
data through
Staging Tables
Consuming data
through Views
Registering to
changes through
APIs
Excel Add-In Web UI Data Matching
Workflow /
Notifications

20. SQL Server 2012 Data Quality Services
Knowledge-Driven
Based on a Data Quality Knowledge Base (DQKB) that is reusable for a variety of data
quality improvements
Knowledge Discovery
Acquire additional knowledge through data samples and user feedback
Open and Extendible
Support use of user-generated knowledge and IP by 3rd party reference data providers
Easy to Use
Compelling user experience
designed for increased
productivity
Integrated into SSIS

21. How Should I Study Now !
Build the necessary skills to grow in your IT role
and career with Microsoft Cloud technologies.
• Learn for free and at your own pace.
• Make a name for yourself within the
community of IT Pros worldwide, by climbing
the ladder all the way to Platinum Level.
• Benefit from promotions and initiatives
published at the MVA
Virtual Labs enable you to quickly
evaluate and test Microsoft's newest
products and technologies through a
series of guided, hands-on labs that you
can complete in 90 minutes or less.
There is no complex setup or installation
required, and you can use Virtual Labs
online immediately, free.
www.microsoftvirtualacademy.com
http://www.microsoft.com/en-
in/sqlserver/learning-center/virtual-labs.aspx

22. Showcase your expert skills at developing and deploying rich business intelligence solutions.
Demonstrate your expertise at building enterprise-scale data solutions.

23. Lets Learn SQL Server & Big Data

24. The World of Data HAS CHANGED

25. Type of data generated by sector

26. The Transition to Big Data
BIG DATA on Axis
Variety - Data is present in
various form
Volume – Data size is Huge
Velocity – Increasing Data
day by Day

27. Interpreting Big Data
Requires New Approaches: Hadoop
27
velocity
variety complexity
volume
Data
INTERPRETINGPREPARING

28. Big Data: Big and Getting Bigger Fast!
Machine-generated data is a key driver in data growth
1 ZB = 1,000,000,000,000 GBs!
Projected to increase 15x by 2020
*2012 IDC Digital Universe Study
 950 million users
 2.5 billion content items shared per day (status updates +
wall posts + photos + videos + comments)
 2.7 billion Likes per day
 300 million photos uploaded per day
 100+ petabytes of disk space in one of FB’s largest Hadoop
(HDFS) clusters
 105 terabytes of data scanned via Hive, Facebook’s Hadoop
query language, every 30 minutes
 70,000 queries executed on these databases per day
 500+terabytes of new data ingested into the databases
every day

29. What Makes Up Big Data?
Megabytes
Gigabytes
Terabytes
Petabytes
Purchase detail
Purchase record
Payment record
ERP
CRM
WEB
BIG DATA
Offer details
Support Contacts
Customer Touches
Segmentation
Web logs
Offer history
A/B testing
Dynamic Pricing
Affiliate Networks
Search Marketing
Behavioral Targeting
Dynamic Funnels
User Generated Content
Mobile Web
SMS/MMSSentiment
External Demographics
HD Video, Audio, Images
Speech to Text
Product/Service Logs
Social Interactions & Feeds
Business Data Feeds
User Click Stream
Sensors / RFID / Devices
Spatial & GPS Coordinates
Increasing Data Variety and Complexity
Transactions +
Interactions +
Observations
= BIG DATA

30. Microsoft End-To-End Big Data Platform

31. Right Tool for the Right Usage
Traditional
Database
SCALE (storage & processing)
Hadoop
Platform
NoSQL
MPP
Analytics
EDW
schema
speed
governance
best fit use
processing
Required on write Required on read
Reads are fast Writes are fast
Standards and structured Loosely structured
Limited, no data processing Processing coupled with data
data typesStructured Multi and unstructured
Interactive OLAP Analytics
Complex ACID Transactions
Operational Data Store
Data Discovery
Processing unstructured data
Massive Storage/Processing

34. Track Resources
mva
SQL Server