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Learn more arrow_forwardCalculate Teradata Database Size
Semi-public Access Level is Available
Python: Read Data from BigQuery
Pandas - Save DataFrame to BigQuery
Load JSON File into BigQuery
BigQuery SQL - WITH Clause
BigQuery SQL - SELECT * EXCEPT Clause
BigQuery SQL - Retrieve DISTINCT Values
Save DataFrame as CSV File in Spark
Spark - Save DataFrame to Hive Table
Pandas DataFrame Plot - Pie Chart
Connect to SQL Server in Spark (PySpark)
Change DataFrame Column Names in PySpark
Series
See allConnecting 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 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
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
This series provides examples and tutorials about reading and writing files via Python.
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
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 (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
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.
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