Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.71 GB | Duration: 6h 18m
Talend Tutotrial with Talend Open Studio for Data Integration, Big Data, ETL, Data Warehouse, Data Migration, Cloud, BI
What you'll learn
lconnect your data sources between to each other
build your own integration processes using practical examples and scenarios
learn the most important transformations
process files, databases, XML, web services and many other formats
use variables to control the execution
Establish best practices
Create comprehensive documentation
Description
Data. Everywhere. All well-behaved in their own environment. But who actually lets them talk to each other? You do. With data integration. Become a data savant and add value with ETL and your new knowledge!
Talend Open Studio is an open, flexible data integration solution. You build your processes with a graphical editor and over 600 components provide flexibility.
Each section has a practical example and you will receive this complete material at the beginning of the course. So you can not only view each section, but also compare it to your own solution. There are also extensive practical scenarios included. So you'll be well equipped for practice!
What are the biggest topics you can expect?
Installation on different operating systems (Windows, Linux, Mac)
understanding and using important data types
reading and writing from databases
process different file formats, like Excel, XML, JSON, delimited, positional
create and use metadata
build schemas
use helpful keyboard shortcuts
retrieve data from WebServices
connect to GoogleDrive and fetch data
using iteration and loops
convert data flows into iterations
build and understand job hierarchies
All major transformations: Map, join, normalize, pivot, and aggregate data
create and extract XML and JSON
use regular expressions
Orchestrate components in processes
Check and improve data quality
Use fuzzy matching and interval matching
Use variables for different environments
Perform schema validation
Handle reject data separately
Find and fix errors quickly
Write meaningful logs
Include and react to warnings and aborts
Build job hierarchies and pass data between different levels
implement and test your own assumptions
configure your project for logging, versioning and context loading
learn best practices and establish your own
document items and have documentation generated
What are you waiting for? See you in the course!
Who this course is for:
you dream of data
you're a data nerd
you are interested in a career in data space
you want to get more out of your data quickly and easily
you want to get added value from your data
you have challenges to let your data talk to each other
you finally master the data chaos
you finally want to understand ETL
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