Welcome to Kontext

Advanced Spark related topics and tutorials. These articles are focusing on more advanced Spark topics incl. framework, architecture, etc. 

This series collects commonly used SQL queries to retrieve data from Teradata database. It also shows you how to do some basic filters and transformation using SQL statements. 

This series provides detailed tutorials about installing big data tools such as Hadoop, Spark, Sqoop, Zeppelin, Hive, Sqoop, etc. on UNIX-alike systems such as Linux or MacOS.  

* Logos used in the picture are registered trademarks of Apache or Linux foundations. 

There are quite a few different packages available that can be used in Python to connect to databases. This series provides examples about using Python to connect to SQL Server, Teradata, SQLite, Oracle, MySQL, etc. 

This series provides examples and tutorials about reading and writing files via Python.

Hive SQL DDL (Data Definition Language) tutorials. This series provides examples about how to create Hive databases, tables (incl. managed and external), views, etc.  

This series shows you how to install Teradata tools incl. Teradata virtual machine image, Utilities tools. etc. on Windows.

With these tools, you can practice Teradata SQL and test Teradata new features easily in your machine. 

This series includes articles about how to read and write files in Spark incl. plain text file, CSV, TSV, XML, Parquet, Avro, Orc, etc.