Informatica Scheduling brings the power of workload automation to governance-aware data pipelines expected to run flawlessly 24/7.
With the average organization managing over 100 data systems and petabytes of data, seamless scheduling and coordination can spell the difference between an analytics powerhouse and operational mediocrity.
This 2600+ word guide prepares technical leaders to tame data complexity with Informatica‘s scheduling and automation capabilities. We cover:
1) The urgent need for scheduling driven by data growth
2) An in-depth primer on Informatica PowerCenter
3) Key aspects of Informatica Scheduling
4) Top use cases with examples
5) Comparison with competitors
6) Addressing limitations with extended solutions
7) Planning, auditing and maintenance best practices
So let‘s get started!
The Data Deluge Driving 24/7 Workload Automation
The data universe is expanding at a mind-boggling pace. Analyst firm IDC predicts that by 2025, global data volumes will swell to 175 zettabytes!
With data pouring in from customer interactions, business operations, IoT sensors and more – complexity abounds. Without continuous, coordinated automation, valuable data deteriorates into toxic waste hurting organizational success.
Research shows that teams waste over 50% of time in non-productive manual activities like monitoring batch jobs, report distribution, data collection etc. This calls for intelligent scaling through seamless scheduling.
Gartner finds that enterprises employing workflow automation reduce costs by over 20% while boosting output by up to 40%. Regulation compliance also becomes 4X faster.
Clearly, powered by robust scheduling, enterprises extract maximum ROI from their data while enabling more insights, faster decisions and sustaining data quality.
Now that the drivers are clear, let‘s analyze Informatica‘sScheduling in detail.