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Data Management with Apache NiFi

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Janani Ravi

2:36:35

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  • 01 - Data management with Apache NiFi.mp4
    03:53
  • 01 - Prerequisites.mp4
    00:50
  • 02 - Apache NiFi core concepts.mp4
    03:48
  • 03 - Apache NiFi architecture.mp4
    01:53
  • 04 - macOS Download Apache NiFi.mp4
    03:45
  • 05 - Windows Download Apache NiFi.mp4
    03:14
  • 06 - macOS and Windows Starting the NiFi server.mp4
    03:43
  • 07 - macOS Logging into NiFi.mp4
    01:34
  • 08 - Windows Logging into Apache NiFi.mp4
    01:13
  • 09 - Exploring the NiFi UI.mp4
    02:04
  • 01 - Adding and configuring processors.mp4
    05:08
  • 02 - Running a dataflow.mp4
    02:23
  • 03 - Flow summaries and flow operations.mp4
    05:14
  • 04 - Creating, saving, and importing flow templates.mp4
    04:40
  • 01 - Set up a PostgreSQL table.mp4
    03:11
  • 02 - Add GetFile and PutDatabase processors.mp4
    03:23
  • 03 - Configuring the CSVReader controller service.mp4
    03:46
  • 04 - Configuring the DBConnectionPool controller service.mp4
    04:26
  • 05 - Running and encountering dataflow errors.mp4
    02:47
  • 06 - Configuring the ReplaceText processor.mp4
    02:58
  • 07 - Running a dataflow to insert data into PostgreSQL.mp4
    02:35
  • 08 - Configuring the Run schedule.mp4
    03:14
  • 09 - Configuring task concurrency.mp4
    02:58
  • 10 - Configure processors to execute SQL queries.mp4
    04:25
  • 01 - Configure processors to convert data formats.mp4
    05:07
  • 02 - Updating attributes and writing files.mp4
    04:20
  • 03 - Running the end-to-end flow.mp4
    06:04
  • 04 - Modularize dataflows with process groups.mp4
    05:16
  • 05 - Running a dataflow with a process group.mp4
    02:28
  • 01 - Creating a PostgreSQL table, Amazon S3 bucket, and an IAM user.mp4
    03:13
  • 02 - Reading from files and storing in a database.mp4
    06:18
  • 03 - Configure the PutS3Bucket processor.mp4
    05:43
  • 04 - Running the flow to read from file and write to database and Amazon S3.mp4
    05:32
  • 01 - Configuring back pressure.mp4
    03:25
  • 02 - Observing the effects of back pressure.mp4
    04:30
  • 03 - Configuring an InvokeHTTP processor.mp4
    05:10
  • 04 - Using a funnel in the dataflow.mp4
    04:55
  • 05 - Running the dataflow to read from URL and write to files.mp4
    01:53
  • 06 - Setting up monitoring for the dataflow.mp4
    02:15
  • 07 - Configuring alerting for the dataflow.mp4
    05:05
  • 08 - Email alerts on dataflow success.mp4
    03:52
  • 09 - Email alerts on change in activity status.mp4
    02:40
  • 01 - Summary and next steps.mp4
    01:44

    • Description

    Apache NiFi is designed to automate the flow of data between software systems. If you are a data management professional, this course can give you the understanding you need to get started with this powerful tool. Janani Ravi guides you through getting started with Apache NiFi. Learn about core concepts and architecture, as well as how to download, start, and log into Apache NiFi on both macOS and Windows. Find out how to build and run data flows and how to integrate NiFi with PostgreSQL. Explore ways to configure and use NiFi processors and processing groups and integrate NiFi with Amazon S3. Plus, discover advanced features of NiFi dataflows like configuring back pressure, using a funnel in the dataflow, setting up monitoring and configuring alerts for a dataflow, and much more.

    This course was created by Janani Ravi. We are pleased to host this training in our library.

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    Category

    Data Science

    Janani Ravi
    Janani Ravi
    Instructor's Courses
    Linkedin Learning
    Linkedin Learning
    View courses Linkedin Learning
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 43
    • duration 2:36:35
    • English subtitles has
    • Release Date 2023/12/23

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