Icon

02_​Databases

This directory contains 24 workflows.

Icon11_​Snowflake_​meets_​Tableau 

Snowflake meets Tableau This workflow implements a DWH operation, configuring and launching a Snowflake in-cloud data warehouse instance. Sales orders […]

Icon12_​Google_​BigQuery_​and_​Amazon_​Athena_​will_​they_​blend 

Google BigQuery and Amazon Athena - Will They Blend? In this workflow, we combine data from Genome Wide Association studies in Google BigQuery and Amazon […]

Icon13_​DBTransactionExample 

The DB Transaction Start and DB Transaction End nodes allow you to model a database transaction, i.e. a unit of work that is either completely processed or […]

Icon14_​Theobald_​meets_​SAP_​HANA 

This workflow calculates various Key Perfomance Indicators (KPI) based on sales data extracted from two SAP tables via Theobald and SAP Hana. The KPIs are, […]

Icon15_​Advanced_​Query_​Building 

Advanced Query Building This workflow shows how to write custom SQL queries using KNIME database nodes with an embedded script editor. These nodes can be […]

Icon16_​Database_​Structure_​Manipulation 

Database Structure Manipulation This workflow shows how to move a local data table into a database, and vice versa. Data can be loaded into a database […]

Icon17_​Load_​data_​into_​Snowflake 

Load data into Snowflake This workflow demonstrates how to load data into Snowflake. It defines a table structure using a DB Table Creator and then […]

Icon18_​MongoDB_​nodes 

MongoDB Nodes This workflow shows the functionality of the MongoDB nodes. It requires you to set up a local MongoDB instance. To do so you can […]

Icon19_​MongoDB_​Aggregation 

MongoDB Aggregation Pipeline This workflow demonstrates aggregation pipelines in MongoDB from KNIME. Aggregation usually works in stages of a pipeline. […]

Icon20_​MongoDB_​Bulk_​Size 

MongoDB Bulk Size This workflow demonstrates, bulk size writing operation to Mongo DB Collection. The "Timer Info" shows execution time of both MongoDB […]