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Series

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Plotting with Pandas DataFrame

Plotting with Pandas DataFrame

Plotting chats with Pandas DataFrame. You can easily plot these charts: Pie Chart, Line Chart, Bar Chart, Area Chart, Scatter Chart, Hexbin Chart, etc.

Spark DataFrame Transformation Tutorials

Spark DataFrame Transformation Tutorials

This series includes tutorials about how to transform Spark DataFrame. For example, operations about add, remove, rename, change data types to columns. It also shows how to create DataFrame object in memory. 

Querying Teradata using SQL

Querying Teradata using SQL

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. 

Install Big Data Tools on Linux

Install Big Data Tools on Linux

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. 

.NET for Apache Spark

.NET for Apache Spark

.NET for Apache Spark 

Big Data Tools on WSL

Big Data Tools on WSL

This series provides detailed tutorials about installing big data tools such as Hadoop, Spark, Hive, Sqoop, etc. on Windows 10 via WSL (Windows Subsystem for Linux). 

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

Connecting to Databases via Python

Connecting to Databases via Python

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. 

Install Teradata Tools & Utilities

Install Teradata Tools & Utilities

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.