Search Results for "ofn-extract-objects.py"

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...

...It is used to query MS SQL database and presentation of data in the form of a report ( subtotals and grouping), Pivot Chart or Pivot Table. Can also be created a pure extract and after copy/paste can be manipulated in any spreadsheet. Easy to use,desktop, Windows, lightweight application. No need to install. If someone is willing to develop and joining the project, then will be made available the source code.

JAETL - Just Another ETL tool is a tiny and fast ETL tool to develop data warehouse. JAETL allows to Extract data from ARFF (Weka), CSV, and SQL, Transform the data with join, replace missing values, remove duplicates, mapping filtering, variable selection, and Load the data into SQL server and export to CSV and ARFF.