Data lakes store data from many sources—including unstructured sources like log data, internet of things (IoT) sensors, and social media feeds. A data lake platform is basically a collection of raw data assets that come from an organization’s business operations and other sources, both internal...
A modern data lake architecture provides rapid data access and analytics by having compute resources and storage objects internal to the data lake platform.
2 A brief history of data lakes 2010-2013: Beginnings 2014-2015: Criticisms and further development 2016-present: Prosperity and diversity 3 Data lake definition Data Lake: A data lake is a flexible, scalable data storage and management system, which ingests and stores raw data fromheterogeneous...
A data lake architecture can accommodate unstructured data and different data structures from multiple sources across the organization. All data lakes have two components, storage and compute, and they can both be located on-premises or based in the cloud. The data lake architecture can use a com...
This chapter introduces the most important features of data lake systems, and from there it outlines an architecture for these systems. The vision for a data lake system is based on a generic and extensible architecture with a unified data model, facilitating the ingestion, storage and metadata ...
Learn about data lakes and how they help businesses store structured data, as well as method for organizing large volumes of highly diverse data from different sources.
What is a data lake? What is an example of a data lake? What's the difference between a data lake and a data warehouse? What is a data lakehouse? Are data lakes important? What are the challenges of data lakes? What is data lake architecture?Free...
Data Storage Explained: Databases, Data Lakes, Warehouses, Lakehouses Data lake architecture This section will explore data architecture using a data lake as a central repository. While we focus on the core components, such as the ingestion, storage, processing, and consumption layers, it's impor...
Data Lake Architecture Data lake architectures accommodate all data structures, including no structure, and support any format. Data lakes consist of two components: storage and compute. An entire data lake can reside on-premises or in a cloud environment. Some data lake architectures combine on-...
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