|Key Note||Agilitics courses information , Agilitics courses information|
|Course feature||Lifetime Access, CloudLabs, 24x7 Support, Real-time code analysis and feedback, 100% Money Back Guarantee|
|Interested Audience||You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management.|
Agilitics courses information , Agilitics courses information
Real-time code analysis and feedback
100% Money Back Guarantee
This two-day hands-on training course provides a comprehensive introduction to StreamSets Data Collector.Participants will learn how to create complex pipelines that ingest data from a variety of sources, manipulate that data,and then export it to destinations including Apache Kafka, relational database management systems, and Apache Hadoop. Throughout the course, hands-on exercises reinforce the concepts being discussed.
The course is designed for those who will be designing, building, and running data flow pipelines, including data engineers, data developers, data analysts, data scientists, ETL developers, and data architects. No prior knowledge of StreamSets Data Collector is required.
Students preferably should have a general knowledge of operating systems, networking, programming concepts, and databases.
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The course is well structure. Timing is also right. The trainer Mr Raj is professional. And he asnwer all my question and doubts.
The course is one of the two in the track of Agile Professional Coach. It is designed to provide both wide and deep knowledge to become a competent Coach with the addirional skills of a Trainer and a Mentor. The two trainers, Preeth Panday and Naveen K Singh, are excellent Facilitators and Coaches with patience and promptness. Their mastery in this area stands out while their mode of delivery captures the interest of the trainees. They demonstrated professionalism with a personal touch.
Overview of the StreamSets
- DataOps Platform
- DataOps Platform Overview
- StreamSets DataOps Architecture and Use Cases
- Custom Examples
An Introduction to StreamSets Data Collector
- Getting Started with Data Collector
- SDC Overview
- The SDC User Interface
- Building Pipelines
- Previewing Data
- Running the Pipeline
Pipeline Events, Rules, and Alerts
- Generating and Handling Events
- Metric Rules
- Data Rules
Reading, Writing and Transforming Data
- Flat Files
- Relational Databases: MySQL, Oracle, and Change Data Capture
- Messaging Broker Systems: Kafka
- Event Based: APIs
- Distributed Storage: HDFS
- Lookups: Relational Databases
Administration and Monitoring
- Monitoring your SDC instances
Data Collector Security
- Securing your Data Collector
Troubleshooting and Tuning your extremists environment
- Identifying issues
- Troubleshooting issues
- Working with Support
Handling Data Drift
- Data Drift Rules