Data Technology


Data Sciences

Data-driven” businesses have a huge advantage over their competition and are generating massive impact. As such, the ability to understand how to extract actionable insights from large volumes of structured or unstructured data through the application of Machine & Deep Learning models is one of the most sought-after skillsets for employers.

  • Star Schema Data Modeling-
  • Normalized Schema Data Modeling-
  • Data Vault Data Modeling
  • erwin
  • ER/Studio
  • Big Data and Unstructured Data Modeling Techniques
  • Hadoop (MapReduce, Hive, Pig, etc.)
  • SQL and associated technologies
  • Other No-SQL technologies such as MongoDB, CouchDB and Spark
  • Data modeling
  • Tableau Desktop
  • Tableau Server
  • Tableau Data Extracts (TDE)
  • SQL and Relational Databases
  • Qlik Sense
  • Qlik Sense Cloud
  • QlikView
  • SQL and Relational Databases
  • ETL Design and Architecture
  • Informatica PowerCenter
  • Informatica Data Integration Hub
  • Informatica Data Quality (IDQ)
  • Informatica Master Data Management
  • SQL and Relational Databases
  • Hadoop developer
  • Big Data Developer
  • Big Data Architect
  • Digital Data Analyst
  • Digital Data Scientist
  • Big Data Hadoop Administrator
  • Big Data & Metrics Director
  • Technology – Digital Finance Tech – Data Engineering
  • Big Data Solutions Architect
  • Data Analyst
  • Hadoop Analytics Analyst
  • Digital Analytics Strategist
  • Global Digital Experience Consultant
  • Associate, Data Analytics – Digital Labor
  • Digital Analytics Consultant
  • Google Analytics Consultant
  • Digital Analytics & Optimization Analyst
  • Web Analytics Strategist