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INNOV15: Life at the Edge: Delivering Effective Data Services for the Extended Enterprise

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Key issues of Life at the Edge of the Enterprise. Examine Solutions working today ... Snowplow data not needed in Las Vegas 2006 Progress Software Corporation. 13 ... – PowerPoint PPT presentation

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Title: INNOV15: Life at the Edge: Delivering Effective Data Services for the Extended Enterprise


1
INNOV-15 Life at the Edge Delivering Effective
Data Services for the Extended Enterprise
Paul Antosh
Director, Product ManagementReal Time Data
Services pantosh_at_progress.com
2
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

3
Replication What is it good for?
Replication is easy to understand. That
doesnt mean it is well understood.
Synchronization is the goal. Replication is a
way of synchronizing.
4
Replication What is it good for?
  • Scalability HA
  • Empower mobile users
  • Integrate the new

Embedded SQL DB Option
Client
ShanghaiRemote Plant
Kuala LumpurRemote Plant
ClevelandRemote Plant
5
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

6
Life at the Edge Centralized Database
Architecture
  • Poor QOS
  • Whats the root cause?
  • Dependency to the centralized data and the network

Im not working!
Remote Site
Data Center
Im slow!
Application
Centralized Data
WAN
7
Life at the Edge More Bandwidth
  • Fix the pipe
  • Problems with this approach
  • Costly
  • Most small and mid-size organizations cannot
    afford to do this
  • Large organizations COULD try this, but
  • STILL no guarantees
  • You cant fully control this variable
  • Bandwidth only part of the problem. Still have
    central DB as point of failure.

8
Life at the Edge Bulk Data Transfer
  • FTP approach
  • Problems with this approach
  • No intelligence
  • Stacking, incremental changes
  • Missing one event can cause data corruption
  • Highly manual maintenance and troubleshooting
  • Hard to recover from failures

9
Life at the Edge Messaging
  • Use some form of messaging queue
  • Problems with this approach
  • Puts much greater load on bandwidth
  • Every single data change gets queued up
  • No easy way to know if queue becomes corrupted
  • Significant changes to application often needed

10
Life at the Edge The Problem Is
...How do I provide the same quality-of-service
to the edge of my enterprise that HQ has?
11
Life at the Edge Distributed Database
Architecture
  • Good, consistent QOS
  • Distribution of data is the key

Im still working!
Remote Site
Data Center
Im still fast!
Application
Centralized Data
WAN
Data
12
Life at the Edge Issues to Consider
  • How many sites/users do you plan on replicating
    too?
  • Value increases with each site/user
  • Do you have a requirement for disconnected
    operation of your application?
  • Full use of the application is important
  • Are you experiencing low-bandwidth or
    high-latency networks for replication?
  • Connectivity not guaranteed
  • Do you have a requirement to slice your data for
    distribution to different locations?
  • Snowplow data not needed in Las Vegas
  • Do you have access to the schema for your
    database and can you make application changes?
  • Sometimes more than just database changes
    required
  • What databases are in use?

13
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

14
Solutions Cole Systems
Order Entry for Lottery Systems
  • Issues
  • Tracking daily sales info for an occasionally
    connected sales force
  • Required to distribute data on a need to know
    basis for each individual sales representative
  • Needed to be able to replicate with a large
    number of sites over very low bandwidth
  • Solution
  • Embedded Hub Spoke replication solution is
    completely invisible to the end user of OrderPad
  • Used patented work set technology to partition
    data for each individual sales representative
  • Ability to update detailed sales statistics over
    low bandwidth / dial up lines

15
Solutions Synchronics
Retail POS System
  • Issues
  • Retailers were required to be connect to the
    headquarters for proper reporting
  • Slow network connections affected performance at
    the individual retailers
  • Individual retailers would occasionally
    disconnect from HQ for increases performance
    created audit nightmare
  • Solution
  • Embed two-way Hub Spoke replication built into
    CounterPointSQL
  • Individual retailers get maximum performance
    while being connected to headquarters
  • Audit capability and offline ticketing is enabled
    by database operations even while disconnected

16
  • Q Does this work with OpenEdge RDBMS?
  • A Adding support for OpenEdge 10.1B
  • Full DataXtend product line support
  • Start gathering information at Exchange
  • Best Practices contact info
  • pantosh_at_progress.com
  • Office 781-280-4839

17
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

18
How it works Replication Architecture
  • Bi-Directional Replication synchronizes two or
    more sites
  • Two Primary Components
  • Change Capture Mechanism
  • Tracks changes that have occurred to a database.
  • Autonomous to Engine (works regardless of engine
    state)
  • Replication Engine
  • Uses information created by Change Capture to
    replicate all changed user data to another
    database.
  • Runs as a service.

19
How it works Change Capture
Your App
Your Database
Data Table N Rows
PK
Control Tables 1 Table per Database Table
Triggers
Control Tables
System Tables
System Tables 40 Tables Set-up Data
20
How it works Change Capture
Record Insert
Customer
PK
Name
Addr
Phone
1
John
3 Main St.
123-3456
(1) Application Inserts Record
2
Kim
25 West St.
456-2343
3
Bob
2 Bush Rd.
789-0987
PDCCustomer
(2) Trigger Fires
PDCID
Customers PK
Timestamp
5
1
2005-08-01 0812
8
2
2005-08-05 1215
(3) Control Record Inserted
13
3
2005-09-01 1729
21
How it works Change Capture
Record Update
Customer
PK
Name
Addr
Phone
1
John
3 Main St.
123-3456
(1) Application Updates Record
2
Kim
25 West St.
456-2343
3
Bob
2 Bush Rd.
789-0987
Chris
PDCCustomer
(2) Trigger Fires
PDCID
Customers PK
Timestamp
5
1
2005-08-01 0812
8
2
2005-08-05 1215
(3) Control Record Updated
2005-09-01 1729
13
3
2005-09-03 1456
22
How it works Replication Architecture
  • Engine-Database communication via ODBC
  • Engine-Engine Communication via TCP/IP
  • Maximize network efficiency through compression
    and scheduling
  • Increased security via encryption
  • Site autonomy / Automatic discovery

Corporate Data Center
Mobile User/ Remote Office
DataXtend Replication Engine
DataXtend Replication Engine
ODBC
ODBC
23
How it works Bi-directional Replication
Site A
Site B
Customer
Customer
PK
Name
Addr
Phone
PK
Name
Addr
Phone
(1) Sites not in Sync
1
John
3 Main St.
123-3456
1
John
3 Main St.
123-3456
2
Kim
25 West St.
456-2343
2
Kim
25 West St.
456-5555
456-5555
456-5555
(2) Replication Starts
3
Bob
2 Bush Rd.
789-0987
7
Sue
2 Bush Rd.
789-0987
3
Bob
2 Bush Rd.
789-0987
7
Sue
4 Grove St.
789-0987
7
Sue
4 Grove St.
789-0987
3
Bob
2 Bush Rd.
789-0987
(3) Last Replication 2005-08-05 1300
(4) Each site determines delta
PDCCustomer
PDCCustomer
(5) Each site sends delta to other site
PDCID
Customers PK
Timestamp
PDCID
Customers PK
Timestamp
5
1
2005-08-01 0812
5
1
2005-08-01 0812
(6) Replication Ends
2005-08-06 1131
8
2
2005-08-05 1215
8
2
2005-08-06 1131
2005-08-06 1131
(7) Sites in Sync
13
3
2005-09-01 1729
21
7
2005-08-06 1130
13
3
2005-09-01 1729
21
7
2005-08-06 1130
13
3
2005-09-01 1729
21
7
2005-08-06 1130
24
How it works Replication Architecture
  • DataXtend RE focus on replication
  • Collision
  • Conflict
  • Horizon
  • Node Management
  • Change Capture
  • Data Slicing
  • Implicit Programming Model with the database
  • Out-of-the-box Replication

Your App
Data Slicing
Collision detection
Prevent Conflict
Your Database
Node Management
Collisions
Conflict
GUID
GUID
Synchronization
CAM Patent
Peer-to-peer
GUID
GUID
Conflict
Hub Spoke
DataXtend Replication Engine
Change Capture
Conflict
Auto-Balance
Triggers
Control Tables
Bandwidth

ODBC
Encryption
Recovery
System Tables
Heterogeneous
Rollback
Connectivity
25
How it works Horizontal Data Partitioning
  • Work Sets One of DataXtend REs most powerful
    features
  • Typical Workset One-to-Many

26
How it works Horizontal Data Partitioning
  • Typical Workset One-to-Many

27
How it works Horizontal Data Partitioning
  • Nested One-to-Many
  • Top down

28
How it works Horizontal Data Partitioning
  • Nested One-to-Many
  • Bottom-up

29
How it works Horizontal Data Partitioning
  • Complex Work sets Many-to-Many

Customer drives Salesperson
  • Define 1st workset
  • Define second workset
  • Define dependencies

30
How it works Horizontal Data Partitioning
  • Complex Work sets Many-to-Many

31
How it works Vertical Data Partitioning
  • Fragments
  • Unit of replication is a group of fields
  • Changes occur at multiple locations
  • Helps avoid
  • False Collisions
  • Silent Data Corruption
  • Optimizes the replication cycle
  • Only changed fragments are replicated

State
Zip
City
Site A (winner)
Site B
Results
False Collision
32
How it works Vertical Data Partitioning
  • Fragments
  • Unit of replication is a group of fields
  • Changes occur at multiple locations
  • Helps avoid
  • False Collisions
  • Silent Data Corruption
  • Optimizes the replication cycle
  • Only changed fragments are replicated

State
Zip
City
Site A (winner)
Site B
Results
Silent Data Corruption
33
How it works Vertical Data Partitioning
  • Fragments
  • Unit of replication is a group of fields
  • Changes occur at multiple locations
  • Helps avoid
  • False Collisions
  • Silent Data Corruption
  • Optimizes the replication cycle
  • Only changed fragments are replicated

State
Zip
City
Site A (winner)
Site B
Results
Replication with PeerDirect Fragments
34
How it works Database-driven File Replication
  • The File Replication feature enables you to
    maintain relationships between database records
    and general files.
  • Key Features
  • Database Record and File are replicated
    transaction-ally.
  • File transfer resume support.
  • Relative or Absolute file mapping support.

35
File Directory
Database
DataXtend Replication Engine
Site A
File 3
Row 3
Application Inserts Record
File Directory
Temporary Directory
Database
DataXtend Replication Engine
Site B
File 3
Row 3
File 3.tmp
36
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

37
DataXtend RE Replication Key Features
  • Synchronization via Bi-directional replication
  • Connection (session) based replication
  • Based on Net Change, not Queue-based
  • Only the final image is sent to avoid redundant
    transmissions
  • Peer to Peer Update Anywhere Model
  • There is no notion of Master/Slave
  • Flexible, scalable replication topology
  • Peer-to-Peer, Hub Spoke, Multi-tiered
  • Collision Avoidance Methodology (Patented - CAM)
  • Horizontal (Work Sets), Vertical (Fragments)
  • Heterogeneous database support
  • E.g., replicate from Oracle to MS SQL Server

38
DataXtend RE Replication Key Features (cont.)
  • Configurable Conflict Resolution
  • Create custom event handler (e.g., Hub wins over
    Spoke)
  • Automatic Partner Site Selection (Patented - DBP)
  • Auto-balances replication network
  • Simplified recovery from disaster or maintenance
  • Simply restore DB, and other sites will catch it
    up
  • Embeddable via extensive .NET or C API libraries
  • Built-in Rollback Capabilities
  • Delivery of error-free data guaranteed
  • Horizon Feature
  • Determine when changes made to a database have
    been propagated to each site within a replication
    network

39
Agenda
Delivering Effective Data Services for the
Extended Enterprise
  • Identify the value of replication
  • Key issues of Life at the Edge of the Enterprise
  • Examine Solutions working today
  • How it works Replication Architecture and more
  • Key Features that make a difference
  • Getting more information

40
Getting More Information
  • Learn more about Progress DataXtend RE
  • progress.com/realtime/products/dataxtend_re/index
    .ssp
  • Talk to a RepresentativeUS Toll free
    1-800-477-6473Tel 44(0)870 351 7212 Tel
    1-781-280-4000
  • progress.com/realtime/get_insight

LEARN MORE
GET MORE INSIGHT
41
Summary
  • DataXtend RE has the robust, full-featured
    replication abilities required for enabling Life
    at the Edge
  • Take an inventory of
  • Whats the real problem?
  • What are the constraints?
  • What are the goals?
  • Replication can greatly improve Life at the Edge
    of the Enterprise
  • Distributed Data Management
  • Greatly improves remote and disconnected life

42
Questions?
  • How does DataXtend RE compare to OpenEdge
    (Fathom) Replication?
  • OpenEdge Replication backs up the RDBMS
  • DataXtend RE synchronizes databases over a network

Paul AntoshDirector, Product ManagementReal
Time Data Services pantosh_at_progress.com
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