Oracle Coherence 3.6: Share and Manage Data In Clusters

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Oracle Coherence is an in-memory data caching and event engine often referred to as an in-memory data grid solution, designed to seamlessly improve performance, reliability, and fault tolerance of Java,.NET and C++ applications.In this course participants will learn about Coherence and Coherence development including but not limited to: What is Coherence? How does it solve real world scalability problems? How does it improve performance and remove bottlenecks in applications? What is the architecture of Coherence? What are Coherence clusters and nodes? How is data managed in a Coherence cluster? Coherence and application Objects What are the changes that need to be made to an application to use Coherence? What is serialization and why it is important to scalability? Coherence and Performance What are Coherence Events? How can applications take advantage of events? What is Coherence in-place processing? How can applications improve performance using in-place processing? Coherence and Integration How can Coherence be integrated with other data sources? How can I use Coherence in a .NET, C++ or WebLogic Server environment? And othersParticipants will explore these and other topics in a tailored environment designed to stimulate and reinforce classroom concepts using carefully crafted laboratory and practice scenarios.Learn To:Use best practices and different serialization techniques working with objects in Coherence.Configure Coherence caching topologies Observe and handle Coherence data and cluster changes using eventsQuery and aggregate cache data using the filter, query language, and aggregation APIsProcess work in parallel across the cluster using EntryProcessors, Invocation Services, and CommonJ Work Manage rsConfigure and write non-clustered Java and C++ clients that use Coherence*Extend to access cluster dataA Live Virtual Class (LVC) is exclusively for registered students; unregistered individuals may not view an LVC at any time. Registered students must view the class from the country listed in the registration form. Unauthorized recording, copying, or transmission of LVC content may not be made.

Doelgroep cursus Oracle Coherence 3.6: Share and Manage Data In Clusters

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Voorkennis

Wij adviseren onderstaande voorkennis:

  • A good understanding of the Java Collections and Map APIs

Doel

  • Write Java clients that perform parallel queries and aggregations across a Coherence data grid

Onderwerpen cursus Oracle Coherence 3.6: Share and Manage Data In Clusters

De cursus Oracle Coherence 3.6: Share and Manage Data In Clusters behandelt de volgende onderwerpen:

    • Introduction to Coherence
    • Getting Started with Coherence
    • Working with Objects
    • Configuring Coherence Caches
    • Observing Data Grid Events
    • Querying and Aggregating Data in the Cache
    • Performing In-Place Processing of Data with Entry Processors
    • Transactions
    • Integrate a Data Source with Coherence
    • Understanding typical caching architectures
    • Administration
    • Understanding Coherence Security
    • Coherence*Extend and Coherence*Web

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Gedetailleerde onderwerpenlijst cursus Oracle Coherence 3.6: Share and Manage Data In Clusters

Hieronder vind u een gedetailleerd overzicht met onderwerpen die in de cursus Oracle Coherence 3.6: Share and Manage Data In Clusters behandeld zullen worden:

    • Introduction to Coherence
      • Understanding application performance
      • Caching and application performance
      • Understanding Coherence concepts and architecture
    • Getting Started with Coherence
      • Coherence installation
      • Working with caches
      • Developing Coherence applications
    • Working with Objects
      • Developing objects
      • Improving performance using custom serialization
    • Configuring Coherence Caches
      • Understanding Coherence cache topologies
      • About Local cache
      • About Replicated cache
      • About Partitioned cache
      • About Near cache
      • About Overflow cache
      • About Topologies summary
      • Understanding Advanced configurations
    • Observing Data Grid Events
      • Event processing: Concepts, Map Listeners, and Map Triggers
      • Making caches observable
      • Backing maps and events
      • About events and the continuous query cache
    • Querying and Aggregating Data in the Cache
      • Coherence queries with filters
      • Queries and indexes
      • Coherence query language
    • Performing In-Place Processing of Data with Entry Processors
      • Managing concurrent access to data
      • Scalability and parallel processing: Entry Processors
      • Agent processes and the InvocationService
      • Managing work with the CommonJ Work Manager
    • Transactions
      • Overview of transactions
      • Coherence and transactions
      • Using the Transaction Framework API
      • Coherence and XA
      • Configuring the transactional-scheme
      • Transactional connections
      • Using the Coherence resource adapter
    • Integrate a Data Source with Coherence
      • Persisting data to a database
      • Data source integration
      • Implementing your own CacheLoader and CacheStore
      • Transactions and XA
      • Caching strategies
    • Understanding typical caching architectures
      • Evolution of data grid design patterns
    • Administration
      • Coherence JMX management
      • Coherence Reporter
      • Cache and cluster management
      • Coherence Management Pack for Oracle Enterprise Manager
      • Third-party management tools
      • Production checklist
    • Understanding Coherence Security
      • Cluster (TCMP) security
      • TCMP Access Control
      • Coherence*Extend: Pluggable identity handling
      • Coherence*Extend: Associate identity with references
      • Coherence*Extend: Authorization wrappers
      • Transport layer security: SSL
    • Coherence*Extend and Coherence*Web
      • Concepts of Coherence*Extend
      • Configure and use Coherence*Extend
      • Coherence*Web overview

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