starweaver-logo
LOG INGET STARTED
LOG INGET STARTED
  • Browse
  • Doing

  • On Air
  • Channels
  • Career Paths
  • LEARNING

  • Courses
  • Certifications
  • Journeys
  • Test Prep
  • CONNECTING

  • How It Works
  • Community
  • Techbytes
  • Podcasts
  • Leaderboards
  • SUPPORT

  • Support & FAQs
  • Starweaver for Business
  • Starweaver for Campus
  • Teach with Starweaver
footer-brand-logo
  • COMPANY
  • About Us
  • Support and Knowledge Base
  • Policies & Terms
  • Contact
  • CONTENT
  • Courses
  • Certifications
  • Journeys
  • Test Prep
  • Meet the Gurus
  • Techbytes
  • FOR ORGANIZATIONS
  • Starweaver for Business
  • Starweaver for Campus
  • Catalogue
  • Pricing
  • Private Classes
  • PARTNER WITH US
  • Instructors & Teachers
  • Books, Writing & Publishing
  • FOLLOW US
    • facebook
    • twitter
    • linkedin
    • pinterest
    • instagram
    • youtube
Our trademarks include Starweaver®, Make genius happen™, Education you can bank on®, People are your most important assets!®, Body of Knowledge™, StarLabs™, LiveLabs™, Journeys™
© Starweaver Group, Inc. All Rights Reserved.
  1. Job Roles
  2. >
  3. Data Warehousing Specialists

Data Warehousing Specialists

What does a professional in this career do?

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.

In this job you will...

  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Verify the structure, accuracy, or quality of warehouse data.
  • Map data between source systems, data warehouses, and data marts.
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
  • Design and implement warehouse database structures.
  • Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
  • Provide or coordinate troubleshooting support for data warehouses.
  • Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
  • Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
  • Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
  • Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
  • Create or implement metadata processes and frameworks.
  • Review designs, codes, test plans, or documentation to ensure quality.
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
  • Select methods, techniques, or criteria for data warehousing evaluative procedures.
  • Implement business rules via stored procedures, middleware, or other technologies.
  • Prepare functional or technical documentation for data warehouses.
  • Test software systems or applications for software enhancements or new products.

Skills You Will Gain

Business Intelligence
Data Integration
Data Modeling
Data Warehousing Architecture
ETL Processes

Representative Journeys

Become a Data Scientist
Become a Data ScientistPraba Santhanakrishnan, Pramod Gupta, Matt Harrison | Data Science | 30 hrs and 30 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
introduction-to-data-analysis-using-r
Introduction to Data Analysis using R
Pramod GuptaSkills: Data AnalysisRR Studio
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas

Journey Completed

Big Data Fundamentals
Big Data FundamentalsPraba Santhanakrishnan, Mark Kerzner, Rod Davison | Data Science | 11 hrs and 55 mins

Launch Journey

big-data-services-on-microsoft-azure
Big Data Services on Microsoft Azure
Praba SanthanakrishnanSkills: Azure Data FactoryAzure HDInsight clusterData WarehouseDatalake
spark-and-elasticsearch-for-big-data-analytics
Spark and Elasticsearch for Big Data Analytics
Mark KerznerSkills: Data ScienceElasticsearchReal-time indexingSearch and Data-AnalysisSpark
big-data-hadoop-and-spark-developer-in-amazon-elastic-mapreduce
Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce
Rod DavisonSkills: Amazon Elastic MapReduce (EMR)Big DataData ScienceHandoopSpark Developer
understanding-and-applying-key-tools-for-big-data-analytics
Understanding and Applying the Key Tools for Big Data Analytics
Mark KerznerSkills: Big Data analytics toolsCloud-based analyticHive

Journey Completed

Related roles

Data Scientists

Data Scientists

Database Architects

Database Architects

Database Administrators

Database Administrators

Business Intelligence Analysts

Business Intelligence Analysts

  • Analytics Manager
  • Big Data Engineer
  • Data Management Engineer
  • Data Management Manager
  • Data Management Specialist
  • Data Migration Specialist
  • Data Quality Analyst
  • Data Storage Specialist
  • Data Warehouse Analyst
  • Data Warehouse Developer
  • Data Warehouse Engineer
  • Data Warehouse ETL Developer (Data Warehouse Extract, Transform, and Load Developer)
  • Data Warehouse Programmer
  • Data Warehouse Solution Architect
  • Data Warehouse Specialist
  • Data Warehousing Engineer
  • Data Warehousing Specialist
  • ETL Developer (Extract-Transform-Load Developer)
  • ETL Tester (Extract-Transform-Load Tester)
  • Storage Engineer

SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Introduction to Data Analysis using R

Introduction to Data Analysis using R

Introduction to Python for Data Science

Introduction to Python for Data Science

Big Data Services on Microsoft Azure

Big Data Services on Microsoft Azure

Getting Started with Pandas

Getting Started with Pandas

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Understanding and Applying the Key Tools for Big Data Analytics

Understanding and Applying the Key Tools for Big Data Analytics

Spark and Elasticsearch for Big Data Analytics

Spark and Elasticsearch for Big Data Analytics