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Series

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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. 

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. 

Read and Write Files via Python

Read and Write Files via Python

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

Teradata Utilities - BTEQ, FastLoad, FastExport, TPT

Teradata Utilities - BTEQ, FastLoad, FastExport, TPT

Tutorials about Teradata utilities incl. BTEQ, FastLoad, FastExport, TPT, etc.

Examples are provided about loading XML, JSON and CSV files into Teradata and also about exporting data from Teradata database. 

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. 

Hive SQL - DDL

Hive SQL - DDL

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

Big Data Tools on Windows 10

Big Data Tools on Windows 10

This series provides detailed tutorials about installing big data tools such as Hadoop, Spark, Sqoop, Zeppelin, Hive, Sqoop, etc. on Windows 10 using Java and Windows native libraries.  

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