Data Lake House
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What is Data Lake House?
A data lakehouse is a data management architecture that combines the scalability and cost-effectiveness of data lakes with the data management and analytical capabilities of data warehouses. It provides a unified platform for storing, processing, and analyzing structured, semi-structured, and unstructured data. It commonly used for business intelligence, reporting, advanced analytics, and machine learning.
What other technologies are related to Data Lake House?
Data Lake House Complementary Technologies
Python
Python is widely used for data engineering, data science, and machine learning tasks within a data lakehouse environment, including data ingestion, transformation, and analysis.
AWS
AWS provides various services (e.g., S3, Redshift, Athena, Lake Formation, Glue) that are frequently used to build and manage data lakehouse architectures.
SQL
SQL is a standard language for querying and manipulating data stored in a data lakehouse, enabling data analysts and data scientists to access and analyze the data.
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Which job functions commonly mention Data Lake House?
Data Architect
16 Data Architect jobs mention Data Lake House
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jobs on Sumble
Analytics Engineer
3 Analytics Engineer jobs mention Data Lake House
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jobs on Sumble
Data Engineer
32 Data Engineer jobs mention Data Lake House
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jobs on Sumble
Software Engineer
67 Software Engineer jobs mention Data Lake House
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jobs on Sumble
Engineer
75 Engineer jobs mention Data Lake House
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jobs on Sumble
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