Learn Talend using Talend Open Studio for Big Data

$5.00

  • Sale Price:  € 5
  • Regular Price:  € 5
  • Size: 2.25 GB
  • Duration: 4 hours 25 minutes
  • Number of Video Lessons: 61
  • Brand: Easy  learning
  • Language: English
  • Instant Download
  • ⭐️⭐️⭐️⭐️⭐️ 4.9

Description

Learn Talend using Talend Open Studio for Big Data

Learn Talend Architecture, ETL Components, Logging and Error, Databases, Flat files, Streaming, AWS Cloud and Kafka

What you’ll learn
Talend
ETL Using Talend
Talend Open Studio for Big Data
Talend General and Big Data Components

Requirements
No experience required. Basics of Sql and Java is an added advantage
Description
The course is about Talend ETL processing.

Talend enables us to deliver complete, clean, and uncompromised data to make every decision count. It collects the right data from diverse sources at the speed your business demands. It shares trusted data across departments and platforms, safely and securely. It also delivers trusted data to the people who need it, when they need it and improve your control of data to make better decisions and build high-impact digital experiences.

Talend is the leading open source solution for data integration. Its capabilities include,

Connectors topackaged applications (ERP, CRM, etc.), databases, mainframes, files, Web Services, and so on to address the growing disparity of sources.

Writingto data warehouses, data marts, OLAP applications – for analysis, reporting, dashboarding, scorecarding, and more.

Built-in advanced components for ETL, including string manipulations, Slowly Changing Dimensions, automated lookup handling, bulk loads support, etc

In this course you will learn about

Talend Architecture

ETL Components

System Components

Logging and Error

Interacting with Databases

Interacting with Flat files

Streaming process

AWS Cloud

Kafka

This Course is for,

ETL Developers

Data Architects

ETL Engineers

Data Engineers

ETL Architects

Database developers

BI Developers

You would learn all the below components,

tAggregatorRow tFileCopy tFilterColumns tRunJob tWarn tAssert tFileDelete tFlowMeter tSampleRow tChronometer tFileExist tJoin tSetEnv tConvertType tFileInputDelimited tLogCatcher tSortRow tCreateTemporaryFile tFileList tLogRow tSplitRow tDenormalize tFileOutputDelimited tMap tSSH tDie tFileProperties tNormalize tStatCatcher tExtractDelimitedFields tFileTouch tReplace tSystem tFileArchive tFileunarchive tReplicate tUniqueRow tFileCompare tFilter tRowGenerator tUnite

Who this course is for:
ETL Developers
Data Integration Engineers
Data Architects
ETL Architects
Database Developers
Data Analysts
BI Developers


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