Big Data best practices: top 5 principles

1. Identify your business goals before conducting analytics

2. Choose the best strategy and encourage team collaboration

3. Begin from small projects and use Agile approach to ensure high quality

4. Select the appropriate technology tools based on the data scope and methods

5. Opt for cloud solutions and comply with GDPR for higher security

Summary

--

--

--

Custom software development company offering a wide range of IT Consulting, Web and Mobile development, Quality Management, BI and BigData services.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Ever since I was a little boy, I have only ever wanted to be a Doctor.

Web Scraping Using Google Chrome Extension.

NeuralProphet For Time-Series Forecasting: Predicting Stock Prices Using Facebook’s New Model

Analyzing Medium’s posts and building a simple prediction service for “Popular on Medium”

Flavors of Cross Validation

The Imperative of Data Cleansing — Part 1

Pachinko Slot Machine Japan

Data Visualization in R with GGPLOT

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Agiliway

Agiliway

Custom software development company offering a wide range of IT Consulting, Web and Mobile development, Quality Management, BI and BigData services.

More from Medium

AWS Certified Data Analytics(DAS-C01) — Certification Summary

Everything You Need to Know about Data Migration

Big Data Basics — Routing and Sharding

Scalable Distributed Data Warehouse