Data Lakehouses Insights

What is Data Lakehouses?

A data lakehouse is a hybrid data management approach that combines the flexibility and cost-effectiveness of data lakes with the data management and ACID transaction capabilities of data warehouses. It enables organizations to store all types of data (structured, semi-structured, and unstructured) in a central repository and use a variety of analytical tools and techniques, including SQL, machine learning, and data science, to gain insights. Common use cases include business intelligence, reporting, advanced analytics, and real-time decision-making.

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What other technologies are related to Data Lakehouses?

Data Lakehouses Competitor Technologies

Data Lakes

Data lakes are a potential alternative to data lakehouses, as they serve as a central repository for storing vast amounts of raw data.

mentioned alongside Data Lakehouses in 1% (85) of relevant job posts

Data Warehouses

Data warehouses are a potential alternative to data lakehouses for structured data storage and analysis.

mentioned alongside Data Lakehouses in 1% (51) of relevant job posts

Data Lakehouses Complementary Technologies

Databricks

Databricks is a platform that supports and facilitates the implementation of data lakehouses, providing tools for data engineering, analytics, and machine learning.

mentioned alongside Data Lakehouses in 0% (56) of relevant job posts

Spark

Spark is a distributed processing engine commonly used within data lakehouses for large-scale data transformation and analysis.

mentioned alongside Data Lakehouses in 0% (54) of relevant job posts

Azure

Azure provides cloud services such as Azure Data Lake Storage and Azure Synapse Analytics that are used to build and support data lakehouses.

mentioned alongside Data Lakehouses in 0% (68) of relevant job posts