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}
- 4.6 Instructor Rating
- 769 Reviews
- 5,427 Students
- 4 Courses
# English #
Hello, my name is Samuel.
I am a solution developer in the data universe and have been working in this field since 2009. In doing so, I have built many challenging and exciting data warehouse projects.
My specialties are ETL, data integration, databases, SQL and Java.
In recent years, the tool stack has continued to grow. Now it also includes AWS, Python, JSON, Big Data and NoSQL.
With these, I bring together data from many sources in a structured, useful way. This allows companies to make better decisions efficiently and quickly.
It's a pleasure to share my knowledge here with you.
# Español #
Hola, me llamo Samuel.
Soy desarrollador de soluciones en el universo de los datos y trabajo en este campo desde 2009. Al hacerlo, he construido muchos proyectos de almacenes 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 también incluye AWS, Python, JSON, Big Data y NoSQL.
Así reúno datos de muchas fuentes de forma estructurada y útil. Esto permite a las empresas tomar mejores decisiones de forma eficaz y rápida.
Es un placer compartir aquí mis conocimientos contigo.
# Deutsch #
Hallo, mein Name ist Samuel.
Ich bin Lösungs-Entwickler im Daten-Universum und arbeite seit 2009 in diesem Bereich. Dabei habe ich viele herausfordernde und spannende Data Warehouse-Projekte aufgebaut.
Meine Spezialitäten sind ETL, Daten-Integration, Datenbanken, SQL und Java.
In den letzten Jahren ist der Tool-Stack weiter gewachsen. Jetzt gehören dazu auch AWS, Python, JSON, Big Data und NoSQL.
Damit bringe ich Daten aus vielen Quellen in strukturierter, nützlicher Form zusammen. So können Unternehmen effizient und schnell bessere Entscheidungen treffen.
Es ist mir eine Freude, mein Wissen hier mit dir zu teilen.