SIZ Education ||The Data Fabric || 20% payout to SIZ-OFFICIAL

Hi Steemians
Hope you are all enjoying good Health and me also Fine al-hamdulillah by the grace of almighty ALLAH.
As all are known that now a days technology of any kind on Peak now a days & this technology helps in many ways to helps in our lives.
Steemians today I'm going to share some knowledge about The Data Fabric.

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Data Fabric❓
Data fabric is combination of technologies such as Data Governance, Data Pipelining, Data Intergraction & Catalog of Data. An extra ordinary uses of technology in the every field of daily life , also increase the use of data Deploy in various complex cloud ☁️ environment. A Data Fabric is the standard solution to create the an extra flexibility for the users to use data in large scale with-out any hanging problem.

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Main components of Data Fabric
Data Fabric includes 6️⃣ components. These communication are below ✨
1️⃣ Data Ingestion

2️⃣ Data Processing

3️⃣ Data Management & Intelligence

4️⃣ Data Orchestration

5️⃣ Data Discovery

6️⃣ Data Access
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1️⃣ Data Ingestion

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It needs to work with all potential data formats, both structured & unstructured, from various sources, including data streams, applications, cloud sources & databases. Also, it must support batch, real-time & stream processing.

2️⃣ Data Processing

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It provides you with a set of tools to help you curate & transform your data to make it analytics-ready to be used by downstream BI tools.

3️⃣Data Management & Intelligence

It allows U to secure your data & enforce governance by determining who can see what data. This is also where U can apply global structures such as Metadata Management, search & lineage control.

4️⃣ Data Orchestration

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It lets you define when and how often you should run the pipelines & how you can manage the data produced by those pipelines. This component coordinates the operation of all stages throughout the end-to-end data workflow.

5️⃣ Data Discovery

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It allows your analysts to find and consume the data across two “silos” as if they were part of the same dataset and extract valuable insights from it. U can employ data modeling, data preparation & data curation in this layer. This is probably the most important part of the data fabric as it focuses on solving the silo problem.

6️⃣ Data Access

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This layer often builds semantics, intelligence & rules into data access mechanisms to provide the data in the required form and format. It delivers your data to analysts directly or through queries, APIs, data services & dashboards.

This is the end of my article about Understanding Data Fabric: 6 Main Components & What They Do.
I hope you like it & may get some knowledge from it. Thanks for reading my article.

Special Thanks
@cryptokraze
@siz-official
@vvarishayy
@suboohi

Regards @saami