Data Foundation with Modernized Data Lake/Data Warehouse

Data Foundation – A GCP (Google Cloud Platform) Approach

Legacy Data Warehouse was meant to capture mostly structured data for descriptive BI reporting. 

Trends changed to building a data lake to capture every aspect of the business operations.

Data growth from terabytes to petabytes or even exabytes brought the realization of separation of storage and compute, and a modernized data warehouse, where the data warehouse makes it possible to extract insights from all of the data.

Cloud Storage – Data Lake to store data from all aspects of your business

BigQuery – Data Warehouse (Modernized) to collect structure, semi-structured and unstructured data for data mining.  Provides aspects such as Scalability, Performance, Security, etc

Data Foundation Framework

Data Foundation : Metadata – What It Is and Why It Matters?

Digital transformation requires us to understand data and use it in an innovative and efficient way; the key component that can help in improving the efficiency of such data-driven initiatives is metadata foundation.

Data Catalog is an approach/tool for assessing and governing the Metadata. 

Data Foundation/Management strategy needs to be in place along with data management processes and governance framework for the tools to be efficient.

Use Cases

Key Features

  • Serverless
  • Metadata as a service
  • Central Catalog
  • Simplifies data discovery at any scale
  • Offers a unified view of all datasets
  • Provides a foundation for data governance

Data Foundation: Master Data Management

Click here for the video session of this blog.

GCP Reference Architecture – Data Warehouse and Master Data Management

Data Foundation is key, and a great strategy to add to your Digital Transformation. Please do let us know your thoughts in the blog comments.

About the author

Munira Gandhi

Munira Gandhi is a data & analytics practice manager at Miracle Software Systems, with over 16+ years of as Enterprise Information/Data architect focused on all data aspects (data ingestion, integration, analytics). She is AWS cloud architect certified and is working on Google GCP Data Engineer certification.

Specialties :
- Big Data Architecture and Strategy (Hadoop ecosystem; Google Bigquery)
- Data Science and Analytics (Python)
- Cloud
- Business Intelligence (Power BI, Tableau, Spotfire)
- Oil & Gas domain knowledge expert

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By Munira Gandhi
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