@PassionPeoplePurpose #bigdata #datascience #technology #ai #learning
Modeling in Data Science
Purpose: to help ensure organizations harness the power of data & can make data accessible to use it to evaluate, optimize, and help build a good data culture
What?
the practice designing & building systems for collecting, storing, & analyzing data at scale
Note - skill to analyse the data is more important than the quantity of the data, so Big data is not always needed
How?
1. Hire best data engineers or up-skill employees with data engineering skills
2. Analyse needs of a business & existing data storage [databases, ETL tools etc]
3. Analyse business operations and data flows
4. Have a best suitable cloud computing platform
5. Have a proper data storage [warehouses, lakes]
6. Build the pipeline to collect and store data
Let me know when do you see need of a big data and what would you like to add to make big data engineering effective.
Happy Learning and Sharing!
Until we meet, happy leading, and let's lead together. Stay safe. Bye for now.
Source -
www.google.com/
#SoLeadSaturday Podcast/Show
intellias.com/data-engineering-big-data-strategy/
hbr.org/2013/12/you-may-not-need-big-data-after-al…
www.coursera.org/articles/what-does-a-data-enginee…
www.trio.dev/blog/what-is-data-engineering
www.jobsity.com/blog/the-importance-of-data-engine…
hevodata.com/learn/big-data-engineering/
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Passion, People & Purpose
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