Ian Choy. Technology Solutions Professional

Transcription

1 Ian Choy Technology Solutions Professional

2 XML KPIs SQL Server 2000 Management Studio Mirroring SQL Server 2005 Compression Policy-Based Mgmt Programmability SQL Server 2008 PowerPivot SharePoint Integration Master Data Services SQL Server 2008 R2 AlwaysOn ColumnStore Index Data Quality Services Power View Cloud Connectivity SQL Server 2012 In-Memory Across Workloads Performance & Scale Hybrid Cloud Optimized HDInsight Cloud BI SQL Server 2014

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12 Evolution of BI

13 Powerful End-to-End BI Solution

14 SQL Reporting Services Alerts, Subscription, Export 14 14

15 Self-Service BI Self-service BI with the familiarity of Office and the power of the cloud

16 SQL Dashboard for PC, Tablets, Phones, Browsers

17 Powerful End-to-End BI Solution

18 Integrated dimensional model & One version of truth Data Integration Data Quality Analysis Master Data Access, DB2, Teradata, SAP, CSV, Excel, etc. Columnstore Index

19 Data Quality Services

20 In-Memory DW Columnstore Index Heaps, B-trees store data row-wise C1 C2 C3 C4 Columnstore indexes store data column-wise Each page stores data from a single column Highly compressed About 2x better than PAGE compression More data fits in memory Each column accessed independently Fetch only needed columns Can dramatically decrease I/O 20

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22 Powerful End-to-End BI Solution

23 Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. and Veracity

24 Big Data Technology Matrix Technology Vendors Data Hadoop, HBase, JSON, Redis Process Stream Analytics On-Premise Sqoop, Pig, Hive, MapReduce Storm, Samza, Spark, Esper, Node.js R Language, Mahout Cloud Apache, Hortonworks, Amazon, Google, Rackspace, Teradata, Cloudera, IBM, SalesForce, SoftLayer, CloudBees Oracle, SAS, Tableau, Targit and many, many, more and many, many, more Reporting MDX, Operational, Dashboard, Self-Service Yes. Big Data is Complex

25 Big Data Technology Matrix Microsoft Hybrid Big Data Data Process On-Premise SQL Analytics Platform System Cloud Azure HDInsight DocumentDB Stream SQL StreamInsight Azure Stream Analytics Analytics Revolution Analytics Azure Machine Learning Reporting SQL Server Reporting Power BI

26 Big Data Technology Matrix Microsoft Hybrid Big Data Data Process On-Premise SQL Analytics Platform System Cloud Azure HDInsight DocumentDB Stream SQL StreamInsight Azure Stream Analytics Analytics Revolution Analytics Azure Machine Learning Reporting SQL Server Reporting Power BI

27 SQL Analytics Platform System On-premise appliance Massively Parallel Processing (MPP) SQL Server Parallel Data Warehouse PolyBase Microsoft HDInsight

28 Azure Machine Learning

29 Advanced Analytic tools for Data

30 Data mining add-in for Business Analysts

31 The Microsoft Data Platform

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33 SQL Server in a Microsoft Azure

34 The data platform continuum One consistent platform with common tools. On-Prem Cloud

35 SQL Server Develop and test in the cloud Key Benefits Test Speed time to market Consistent App Lifecycle Deploy options TFS in Microsoft Azure Development Work Stations SQL Server in a Microsoft Azure Virtual Machine Deploy SQL Server Dev Tools On-Premises SQL Server On-Premises Telenor saved 70% on test, development and demo that could be turned off when finished to minimize their capital outlays, Marius Pedersen, Telenor Group 70% savings Ready in hours, not weeks No resource limits 35

36 Back-up to the cloud Key Benefits Reduce CAPEX & OPEX Auto Geo Replication Full data encryption backup Managed backup policy Restore Backup to Azure VM Microsoft Azure Full data encryption Periodic Snapshot (automatic/manual) Geo replication Storage Restore to VM On-premise network SQL Server

37 Disaster recovery in the cloud Key Benefits Low TCO disaster recovery Microsoft Azure Run backups Run BI reports On-premise network Asynchronous replicas Global BI reporting Secondary replica VPN tunnel (Microsoft Azure Virtual Network) Domain controller Synchronous commit Asynchronous commit Primary replica Secondary replica Recovery times have dropped from minutes to seconds We re seeing almost no data loss. Speaker, Company Recover in seconds Significant cost reductions

38 38 Create hybrid apps Key Benefits On premise & online apps best of breed workloads Microsoft Azure- Hosted Marketing Apps In-House Data Center Offloaded BI Workloads SQL Server 2012 AlwaysOn Cluster Metrics & Monitoring Apps Microsoft Azure Microsoft Azure- Hosted Marketing Apps Greater global reach Data Sync OLTP DB AlwaysOn Primary AlwaysOn Synchronous Replicas Readable Secondaries Metrics Databases Viral Marketing Databases We now have the capacity to add a lot more players and operators while not losing any application responsiveness Thomas Pullen, BetOnSoft 10x Scale out Viral Marketing workloads Improved Availability of error metrics database

39 Enterprise IT The traditional world

40 Enterprise IT The new default On-premises packaged applications are becoming SaaS applications Cloud platforms are the new foundation for competitive advantage This is the PC+ era

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