Data Integration Solutions: Performance Tips

Informatica Incremental Aggregation Implementation and Business Use Cases

Informatica PowerCenter Incrimental Aggregation

Incremental Aggregation is the perfect performance improvement technique to implement; when you have to do aggregate calculations on your incrementally changing source data. Rather than forcing the session to process the entire source data and recalculate the same data each time you run the session, incremental aggregation persist the aggregated value and adds the incremental changes to it. Lets see more details in this article.

Informatica Performance Tuning Guide, Performance Enhancements - Part 4

In our performance turning article series, so far we covered about the performance turning basics, identification of bottlenecks and resolving different bottlenecks. In this article we will cover different performance enhancement features available in Informatica PowerCener. In addition to the features provided by PowerCenter, we will go over the designs tips and tricks for ETL load performance improvement.

Informatica PowerCenter Load Balancing for Workload Distribution on Grid

Informatica PowerCenter Workflows runs on grid, distributes workflow tasks across nodes in the grid. It also distributes Session, Command, and predefined Event-Wait tasks within workflows across the nodes in a grid. PowerCenter uses load balancer to distribute workflows and session tasks to different nodes. This article describes, how to use load balancer to setup high workflow priorities and how to allocate resources.

Informatica PowerCenter on Grid for Greater Performance and Scalability

Informatica PowerCenter Workflows on Grid for Performance and Scalability

Informatica has developed a solution that leverages the power of grid computing for greater data integration scalability and performance. The grid option delivers the load balancing, dynamic partitioning, parallel processing and high availability to ensure optimal scalability, performance and reliability. In this article lets discuss how to setup Infrmatica Workflow to run on grid.

Informatica Performance Tuning Guide, Resolve Performance Bottlenecks - Part 3

In our previous article in the performance tuning series, we covered different approaches to identify performance bottlenecks. In this article we will cover the methods to resolve different performance bottlenecks. We will talk about session memory, cache memory, source, target and mapping performance turning techniques in detail.

Informatica Performance Tuning Guide, Identify Performance Bottlenecks - Part 2

In our previous article in the performance tuning series, we covered the basics of Informatica performance tuning process and the session anatomy. In this article we will cover the methods to identify different performance bottlenecks. Here we will use session thread statistics, session performance counter and workflow monitor properties to help us understand the bottlenecks.

Informatica Performance Tuning Guide, Tuning and Bottleneck Overview - Part 1

Informatica PowerCenter Performance Tuning A to Z Guide, Part I

Performance tuning process identifies the bottlenecks and eliminate it to get a better acceptable ETL load time. Tuning starts with the identification of bottlenecks in source, target, mapping and further to session tuning. It might need further tuning on the system resources on which the Informatica PowerCenter Services are running.

Dynamic Partitioning to Increase Parallelism Based on Resources Availability

Informatica PowerCenter session partition can be used to process data in parallel and achieve faster data delivery. Using Dynamic Session Partitioning capability, PowerCenter can dynamically decide the degree of parallelism. The Integration Service scales the number of session partitions at run time based on factors such as source database partitions or the number of CPUs on the node resulting significant performance improvement.

Informatica PowerCenter Pushdown Optimization a Hybrid ELT Approach

Informatica PowerCenter Pushdown Optimization an ELT Approach

Informatica Pushdown Optimization Option increases performance by providing the flexibility to push transformation processing to the most appropriate processing resource. Using Pushdown Optimization, data transformation logic can be pushed to source database or target database or through the PowerCenter server. This gives the option for the ETL architect to choose the best of the available resources for data processing.

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