DWH Insights | Sumble

What is DWH?

DWH stands for Data Warehouse. It is a central repository of integrated data from one or more disparate sources. Data warehouses store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is typically uploaded from the operational systems such as marketing, sales, and accounting. It goes through data cleansing, transformation, and cataloging before being stored in the data warehouse. Data warehouses are commonly used for business intelligence and analytics to facilitate decision-making.

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What other technologies are related to DWH?

DWH Competitor Technologies

Datalake

Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.

mentioned alongside DWH in 5% (233) of relevant job posts

Data Lake

Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.

mentioned alongside DWH in 2% (547) of relevant job posts

CDP

Customer Data Platforms (CDPs) unify customer data from various sources to provide a single customer view, competing with DWH for certain use cases like customer analytics and marketing.

mentioned alongside DWH in 1% (161) of relevant job posts

Snowflake

Snowflake is a cloud-based data warehousing platform. It directly competes with other DWH solutions and can be selected as an alternative to a traditional on-premise DWH.

mentioned alongside DWH in 0% (708) of relevant job posts

Databricks

Databricks provides a unified platform for data engineering, data science, and machine learning, and it can be used as a data lakehouse, which is an alternative to a traditional DWH.

mentioned alongside DWH in 0% (559) of relevant job posts

Lakehouse

A Lakehouse architecture combines the benefits of both data lakes and data warehouses, providing a more flexible and scalable approach to data storage and analysis and might be seen as a competitor.

mentioned alongside DWH in 3% (57) of relevant job posts

AWS Redshift

Amazon Redshift is a cloud-based data warehouse service, thus a direct competitor to other DWH solutions.

mentioned alongside DWH in 0% (414) of relevant job posts

Data Lakes

Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.

mentioned alongside DWH in 1% (108) of relevant job posts

DWH Complementary Technologies

BI

Business Intelligence tools are used to analyze data stored in a DWH. They allow users to extract insights and make data-driven decisions using the processed and structured data available.

mentioned alongside DWH in 3% (1.5k) of relevant job posts

ETL

Extract, Transform, Load tools are a key process for populating a DWH with data. They handle data extraction from various sources, transformation into a consistent format, and loading into the DWH.

mentioned alongside DWH in 1% (1.8k) of relevant job posts

Embulk

Embulk is a bulk data loader that can be used as part of the ETL/ELT process to ingest data into a DWH.

mentioned alongside DWH in 7% (109) of relevant job posts