Big Data Guide

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.

Skills Required

– Data Visualization
– Programming languages
– Microsoft Excel
– Microsoft Access
– SharePoint
– Data Warehousing
– Analytical Skills
– Big Data Tools
– Computational frameworks
– Some knowledge of Public Cloud and Hybrid Clouds
– Problem Solving
– Quantitative Aptitude and Statistics
– And more


– Creating and translating computer algorithms into prototype code
– Developing technical processes to improve data accessibility
– Designing reports, dashboards, and tools for end-users
– Recruit survey participants
– Compile and interpret submitted data
– Relay findings in traditional charts and reports as well as digital formats
– Organize and maintain data in relational databases and corporate repositories
– Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
– Developing data architecture strategies for each subject area of the enterprise data model
– Maintain data pipeline
– Customize and oversee integration tools, warehouses, databases, and analytical systems
– Configure and provide availability for data-access tools used by all data scientists
– And more


– IBM Data Science Professional Certificate
– Microsoft Certified Azure Data Scientist Associate
– Microsoft Certified Data Analyst Associate
– Microsoft’s MCSE: Data Management and Analytic
– Open Certified Data Scientist
– SAS Certified Advanced Analytics Professional Using SAS 9
– SAS Certified Data Scientist