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Data lake low cost storage make artificial intelligence to happen

dennis_robert

dennis_robert

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dennis_robert

dennis_robert

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Before company thinking of integrate artificial intelligence should start by building data lake

The Data Lake retains ALL data. Not just data that is in use today but data that may be used, and even data that may never be used just because it MIGHT be used someday. Data is also kept for all time so that we can go back in time to any point to do analysis.

The cost of storing data is relatively low as compared to the Data Warehouse. There are two key reasons for this: First, Hadoop is open source software, so the licensing and community support is free. And second, Hadoop is designed to be installed on low-cost commodity hardware”

A Data Lake is characterized by three key attributes:
  1. Collect everything. A Data Lake contains all data, both raw sources over extended periods of time as well as any processed data.
  2. Dive in anywhere. A Data Lake enables users across multiple business units to refine, explore and enrich data on their terms.
  3. Flexible access. A Data Lake enables multiple data access patterns across a shared infrastructure: batch, interactive, online, search, in-memory and other processing engines.”
Small and medium enterprise can use their laptop or desktop to build data lake and not necessary having a server.

You can pm for more consultation
 
dronedrake

dronedrake

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dronedrake

dronedrake

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mkuu dennis, kwanini usiunganishe contents zote za AI unazodondosha ziwe kwenye thread moja
 

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