data lake造句
例句與造句
- Other approaches include constructing an Enterprise Data Warehouse, Data Lake, or Data Hub.
- Policies similar to those used previously can be applied when retrieving data from data lakes.
- The company focus on management of data lakes with 2 products : Bedrock and Mica.
- This enables quick segregation of data into the data lake, thereby reducing the overhead time.
- They are part of the vendor's data lakes strategy for storing and managing unstructured data in large repositories.
- It's difficult to find data lake in a sentence. 用data lake造句挺難的
- However, there is also now a faster-growing interest in the new data lake arena for more analytical use cases.
- For the reasons above, within an enterprise, a Data Hub or Data Lake may be preferable, or a hybrid approach.
- The data lake allows an organization to shift its focus from centralized control to a shared model to respond to the changing dynamics of information management.
- A Data Lake tends to store data in one place for availability, and allow / require the consumer to process or add value to the data.
- The key building blocks for Isilon include the OneFS operating system, the NAS architecture, the scale-out data lakes, and other enterprise features.
- On September 8, 2016, NetApp announced a partnership with Zaloni on a mid-tier storage solution for complete lifecycle management of the data lake.
- The earlier data lake ( Hadoop 1.0 ) had limited capabilities with its batch oriented processing ( Map Reduce ) and was the only processing paradigm associated with it.
- Interacting with the data lake meant you had to have expertise in Java with map reduce and higher level tools like Pig & Hive ( which by themselves were batch oriented ).
- In this blog post, Kurt Cagle focuses on Data Lakes ( simple storage in Hadoop ) vs . Data Hubs ( more complex transformation, security and semantics using a hub product in this case MarkLogic ).
- The new offerings will, according to one analyst, deliver a data lake-ready platform to enterprises with high-speed data analytics, and are aimed at three aspects of the Data Lake, the edge, the core, and the cloud.
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