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

https://cloud.google.com/solutions/build-a-data-lake-on-gcp

https://cloud.google.com/solutions/bigquery-data-warehouse

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

https://cloud.google.com/data-catalog

https://cloud.google.com/data-catalog#section-4

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.

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

About the author

Munira Gandhi
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

Add comment

Munira Gandhi By Munira Gandhi
Welcome to Miracle's Blog

Our blog is a great stop for people who are looking for enterprise solutions with technologies and services that we provide. Over the years Miracle has prided itself for our continuous efforts to help our customers adopt the latest technology. This blog is a diary of our stories, knowledge and thoughts on the future of digital organizations.


For contacting Miracle’s Blog Team for becoming an author, requesting content (or) anything else please feel free to reach out to us at blog@miraclesoft.com.

Who we are?

Miracle Software Systems, a Global Systems Integrator and Minority Owned Business, has been at the cutting edge of technology for over 24 years. Our teams have helped organizations use technology to improve business efficiency, drive new business models and optimize overall IT.

Recent Posts