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Introduction To SQL Server 2014
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Introduction To SQL Server 2014

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Introduction To SQL Server 2014

Introduction To SQL Server 2014

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Introduction To SQL Server 2014 Introduction To SQL Server 2014 Presentation Transcript

  • Its All About Data
  • 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+
  • Why Data Is Important !!
  • Gartner Magic Quadrant DWH & BI 2013 Gartner delivers technology research to global technology business leaders to make informed decisions on key initiatives.
  • 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 ..
  • 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
  • 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?
  • 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
  • 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
  • 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
  • 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
  • Secure
  • Complete & Consistent Data Platform
  • In-Memory Built-In
  • 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
  • Who have accepted SQL Server 2012
  • 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
  • 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
  • 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
  • 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
  • Showcase your expert skills at developing and deploying rich business intelligence solutions. Demonstrate your expertise at building enterprise-scale data solutions.
  • Lets Learn SQL Server & Big Data
  • The World of Data HAS CHANGED
  • Type of data generated by sector
  • 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
  • Interpreting Big Data Requires New Approaches: Hadoop 27 velocity variety complexity volume Data INTERPRETINGPREPARING
  • 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
  • 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
  • Microsoft End-To-End Big Data Platform
  • 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
  • Track Resources mva SQL Server