Talend Advanced for Big Data, Cloud and Database integration
What you'll learn
- connect to Big Data and Cloud systems like Snowflake, Amazon S3 and MongoDB
- use advanced database features, such as stored procedures, bulk loading, ELT, SCD
- use custom Java code, libraries and external components
- use existing routines and learn many types of data conversions
Requirements
- you finished my Talend basics course or have similar knowledge
- you want to use Talend Open Studio professionally
- Laptop with 4+GB RAM and current JDK (Java Development Kit)
Description
You already know the basics of data integration and ETL. But that's not enough for you. Here's where you deepen your knowledge in this area with Talend. This way you will have a steep learning curve.
The course on advanced Talend topics is extremely hands-on. From start to finish, you can work on your own. Each video is accompanied by the corresponding example. You import the complete course project into your environment at the beginning. This ensures that you can always compare your own jobs designs with a sample solution.
The range of advanced topics is wide, but well structured in the best possible way for you. Among other things, the following points await you:
use Big Data and Cloud components to connect to Amazon S3, Google BigQuery, Snowflake, MongoDB, Apache Cassandra, Apache Kafka
design ELT processes and know the difference to ETL
build Slowly Changing Dimensions (SCD) to historize data
call stored procedures on a database from Talend
use memory components like tBufferInput and tHashOutput
deepen your knowledge of converting data types
get started with Java code in Talend
learn if-conditions with their abbreviated notation
learn to avoid NullPointerExceptions
convert strings in many forms easily
include your own code via routines
use Java components like tJava, tJavaRow and tJavaFlex
add external components to Talend
learn how to load and use external libraries
access other sources, such as FTP, eMail, etc.
What are you waiting for? See you in the course!
Who this course is for:
- anyone who really wants to use Talend professionally
- developers with a basic Talend know how who want to continue on a steep learning curve
- ambitious developers who want to get more out of their data
Instructor
![Samuel Lenk | Certified Talend Java SQL Data Integration ETL Developer](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 883 Reviews
- 6,194 Students
- 6 Courses
=== English ===
Hello, my name is Samuel.
I am a data solution developer and started working in this field in 2009. Since then I have built many challenging and exciting data warehouse projects.
My specialities are ETL, data integration, databases, SQL and Java. Over the last few years, the tool stack has continued to grow. It now includes AWS, Python, JSON, Big Data and NoSQL as well.
This allows me to combine data from many sources in a structured and useful manner. So that ultimately, companies can make better decisions.
I’m happy to share some of my knowledge here with you now.
Happy learning
=== Español ===
Hola, mi nombre es Samuel.
Soy desarrollador de soluciones de datos y empecé a trabajar en este campo en 2009. Desde entonces he construido muchos proyectos de almacén de datos desafiantes y emocionantes.
Mis especialidades son ETL, integración de datos, bases de datos, SQL y Java. En los últimos años, la pila de herramientas ha seguido creciendo. Ahora incluye también AWS, Python, JSON, Big Data y NoSQL.
Esto me permite combinar datos de muchas fuentes de forma estructurada y útil. Para que, en última instancia, las empresas puedan tomar mejores decisiones.
Estoy feliz de compartir algunos de mis conocimientos aquí contigo ahora.
Feliz aprendizaje
=== Deutsch ===
Hallo, mein Name ist Samuel.
Ich bin Entwickler von Datenlösungen und habe 2009 in diesem Bereich gestartet. Seitdem habe ich viele anspruchsvolle und spannende Data-Warehouse-Projekte entwickelt.
Meine Spezialgebiete sind ETL, Datenintegration, Datenbanken, SQL und Java. In den letzten Jahren hat sich der Tool-Stack weiter vergrößert. Er umfasst jetzt auch AWS, Python, JSON, Big Data und NoSQL.
Dies ermöglicht es mir, Daten aus vielen Quellen strukturiert und sinnvoll zu kombinieren. So können Unternehmen letztendlich bessere Entscheidungen treffen.
Ich freue mich, einen Teil meines Wissens nun hier mit dir zu teilen.
Viel Spaß beim Lernen