Overview Western Mariusz Gieparda

Transcription

1 Overview Western Mariusz Gieparda 1

2 Corporate Overview Company Global Leader in Business Continuity Easy. Affordable. Innovative. Technology Protection Operational Excellence Compliance Customer Value 2

3 Rock Solid Strong Financial Performance Privately held by Thoma Bravo in partnership with management 3

4 Global Partner Presence 70+ Countries 4

5 Global Customer Presence 25,000+ Customers 5

6 Vision s Availability Experts ROCHESTER SALT LAKE CITY MONTREAL WALTHAM IRVINE INDIANAPOLIS UK FRANCE DORCHESTER CHINA Follow the Sun JAPA N Support Center Development Center Both Plus: >Advanced Tools & Resources >Global Consulting Reach (400) >Global Certified Partner Coverage (5,000+) 6

7 Portfolio of Leading Brands High Availability Replicate data and role swap workloads Any point in time recovery with CDP Support physical and virtual environments Optimal RPO and RTO Disaster Recovery Real-time replication local or remote Recover to physical and virtual environments Any point in time recovery with CDP Public or Private Cloud deployment Data and Systems Management Change Data Capture Share, integrate and transform data Real-time data migration without downtime Monitor, manage and optimize resources 7

8 Client Environment What Applications are Critical to your business? Platforms? Windows, Unix, Linux, AS400, Mainframe Databases? SQL, Oracle, DB2/UDB, Teradata, Informix What is your Reporting Strategy? Data Warehouse, Operational Data Store, Data Mart Business Intelligence, Queries, Excel Data Updated? Weekly, Nightly, Hourly Current Data Sharing Methods Concerns New requirements 8

9 Legacy Data Sharing Challenges How are you sharing Data? In-house Programming, FTP, ETL (Extract Transform Load), Manual Processes Trauma commonly associated with Data Sharing Data Extractions slow down our production systems Business Complains! Prone to Errors and Data Corruption Executives question your data! Expensive to develop & maintain processes Where is our focus? Every app and database has a different process Integration is a nightmare! Data is day-old or week-old at best How do we compete in this economy? What s s my alternative? Double-Take Share Standardized On-Demand Cross-Platform Data Sharing 9

10 Making Sense of Your Data z/os Transforming the Way You do Business With Real-Time Database Sharing 10

11 What Is Vision DoubleTake Share? Eliminate Data Sharing Barriers ecommerce (web site) AIX Oracle Back Office ERP IBM i, DB2/400 Data Warehouse Windows, SQL Server Customer Orders Payment Details Sales data (all regions) Product Catalogue Price List APPLICATION APPLICATION INTEGRATION INTEGRATION PROJECT PROJECT Vision DoubleTake Share is an easy to use real-time, multiplatform change data capture (CDC) replication tool. OFFLOAD OFFLOAD QUERY QUERY & & REPORTING REPORTING PROJECT PROJECT Regional sales data DoubleTake Share is a standardized solution for data sharing, and is most commonly utilized for: Data and/or Application Integration Projects Business Intelligence, Reporting, Data Warehouse ecommerce, Web Portals Compliance & Regulatory Issues Security and Audit Requirements Server and ERP Migration Projects Reporting database Windows, SQL Server 11

12 Share Data Easily Between Any Database Simplified Implementation No programming needed Model-based Centralized Console for Sharing across ALL DBA s On-Demand Real-time (change-data-capture) Scheduled replication available Fast sync to create and update snapshots Enterprise-Wide Data Sharing Between same or different database types Across platforms & operating systems Eliminate Scripted ETL Processing 12

13 Change Data Capture (CDC) Data is captured and shared as it changes, immediately and quickly replicated to other databases as specified Only changed data is transferred, so efficient Automatically handles the capture, transformation (if any) and load to target database (no intervention or manual scripting) Ensures write order consistency and guaranteed delivery 13

14 A Broad Spectrum of Supported Platforms 14

15 Technical Overview Administrative Console (Director) Source Target EDMM Metadata LAN / WAN EDMM Metadata Change Data Capture Data path Source DataBase Target DataBase 15

16 Log-Based Data Capture Changed Data Source DBMS Log / Journal 2 Queue Retrieve/Transform/Send Change Selector Apply 4 Did you know? Double-Take Share can leverage published Log or Journal standards to identify and capture the change before copying to the replicate1 Queue The Double-Take Share Queue ensures that data integrity is maintained and zero data loss occurs in the event of a dropped connection during file transmission Target DBMS 16

17 Share exactly WHAT you need Filters determine what data gets moved Select specific column and table Select specific rows and table 17

18 Transforming Rows With Column Mappings Source Host - server connected to the TCP/IP network Eg. IBM i server Target Host - server connected to the TCP/IP network E.g. Windows server Database Server E.g. DB2/400 Database Server E.g. SQL Server CUSTPF (Physical file) Field Name CUNUM CUCLM CUNAM CUAD1 CUAD2 CUAD3 CUAD4 CUTEL Data Type Numeric (10) Numeric (10,2) Alpha-numeric (20) Alpha-numeric (25) Alpha-numeric (25) Alpha-numeric (25) Alpha-numeric (25) Numeric (10) File / table mapping Field / column mappings customer_master (SQL table) Column Name Data Type Customer number Numeric (10) Customer name Alpha-numeric (10) Customer address line 1 Alpha-numeric (25) Customer address line 2 Alpha-numeric (25) Customer address line 3 Alpha-numeric (25) Customer address line 4 Alpha-numeric (25) Customer address line 5 Alpha-numeric (25) Customer telephone Numeric (10) Customer credit limit Numeric (10,2) 18

19 Share exactly HOW you need to Transforms data into useful information Over 60 built-in data transformation methods Fields: DECIMAL(5,2) nulltostring(zip_code,'00000') Tables: Column merging Column splitting Creating derived columns Custom lookup tables Create custom data transformations using powerful DTShare Java scripting interface 19

20 Guarantees Information Accuracy Ensures ongoing integrity Changes collected in queue on source Moved to target only after committed on source Ensures write-orderconsistency retained Queues retained until successfully applied No database table locking Ensures failure integrity Automatically detects communications errors Alerts administrator Automatically recovers the connection and processes No data is lost SMTP Alerting 20

21 Accurate Tracking & Data Auditing Detects and resolves conflicts automatically Maintains data integrity Model verification Validation checking Audit Journal Mapping tracks all Updates and Changes Records before and after values for every column Type of transaction Sending DBMS type Table Name User Name Transaction Information Records to flat file or to db table Can assist with SOX, HIPPA audit requirements 21

22 Flexible Architecture Flexible topologies to meet your business needs One Way Cascade Distribute Consolidate Two Way Bi-Directional 22

23 Interface Source Server Sending Table(s) Target Server Request 23

24 Interface 24

25 Interface 25

26 Pinnacle Entertainment Group Data Data Warehouse Centralization Gaming Casino 1 Casino 2 Casino 3 Casino 4 Casino 5 Casino 6 IBM System i DB2 IBM System i DB2 IBM System i DB2 IBM System i DB2 IBM System i DB2 IBM System i DB2 Real time CDC replication with transformation Single Data Warehouse Database Windows Cluster MS SQL Server Customer loyalty Amounts paid Amounts won Time at the table Time at the machine Sample screen Business intelligence 26

27 Customer Story - AGC Automotive AGC Automotive is a global company which mainly produces and sells automotive glass for new vehicles and aftermarket replacement glass BI-DIRECTIONAL APPLICATION INTEGRATION BI-DIRECTIONAL APPLICATION INTEGRATION Enterprise Unit System i LPAR1 DoubleTake Share replicates data bidirectionally between the enterprise LPAR which runs Mapics and Future3 and the shop floor LPAR which runs in-house applications. This interface helps both business units know what the other is doing in real time LPAR2 Shop Floor Unit DoubleTake Share replicates data bidirectionally between the in-house applications on System i and two MS SQL Server databases in two Machinery Units (in different buildings). Any product defects detected result in updates to the MS SQL Server databases and this data is replicated back to the shop floor database Machinery Unit 1 Windows SQL Server Machinery Unit 2 27

28 Millennium BCP Bi-directional, real-time banking APPLICATION APPLICATION INTEGRATION INTEGRATION PROJECT PROJECT Online Banking Microsoft SQL Server IBM System i DB Customers enter new banking transactions on line. They get captured in SQL Server replicates the transactions in real time to DB2/400 Bi-directional replication 5. Customers view processed transactions on-line 4. replicates the processed transactions back to SQL Server in real time. 3. A back-office batch application processes incoming transactions and updates data. 28

29 Why Double-Take Share Superior Data Integrity Zero Data Loss EVER Autonomic Recovery Network Server Data Superior Administration Graphical Interface Single-Step Promotion to Production Replication Schema Language (RSL) Model Based 29

30 Why Double-Take Share Superior Performance Fast Throughput Off-Box Option Superior Monitoring Client, Web-based, Command-line Network, Server, Database, Transactions Proactive SMTP Alerts Superior Integration with Vision HA Sharing of Journals/Logs Coupled Role-Swap 30

31 Other Customer Uses Backup Second copy to offload backups from production Offload Production Create a second copy of production database for adhoc queries and reporting still real-time, accurate Migrations Migrate non-disruptively while production remains active Migrate database from one disk platform to another target database can be thoroughly tested prior to cutover window Reduce cutover window time and risk From one database type to another These are usually extremely complex projects The target can be thoroughly tested and adjustments made without impacting production Can write to a flat file Replication target can be a flat file to be used for outside vendor or service Replication Second copy for Disaster Recovery 31

32 Portfolio of Leading Brands High Availability Replicate data and role swap workloads Any point in time recovery with CDP Support physical and virtual environments Optimal RPO and RTO Disaster Recovery Real-time replication local or remote Recover to physical and virtual environments Any point in time recovery with CDP Public or Private Cloud deployment Data and Systems Management Change Data Capture Share, integrate and transform data Real-time data migration without downtime Monitor, manage and optimize resources 32

33 Follow Vision On Popular Social Networks businesscontinuitytoday.com twitter.com/vsichannel facebook.com/vsichannel youtube.com/vsichannel linkedin.com/companies/

34 Questions and Discussion Mariusz Gieparda solution architect