Edition 4z: Data Management - Conclusion
Sitaram Choudary Yarlagadda
Data Technology Architect and Engineer Capable of utilizing the People, Process, and Technology framework as well as the DAMA-DMBOK concepts to effectively create and manage mission-critical enterprise data platforms.
Conclusion
??????????? Organizations recognize the importance of data as an enterprise asset, providing insights about customers, products, and services. However, few actively manage data to derive ongoing value from it. Data management involves developing, executing, and supervising plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles. A Data Management Professional is someone who works in any facet of data management, from technical management of data throughout its lifecycle to ensuring proper utilization and leverage of data to meet strategic organizational goals.
???????????Data management activities range from consistent decisions on how to derive strategic value from data to the technical deployment and performance of databases. Both technical and non-technical skills are required for data management. Responsibility for managing data must be shared between business and information technology roles, and collaboration is essential to ensure high-quality data that meets strategic needs.
????????????Data and information are not just assets; they are vital to day-to-day operations of most organizations. They have been called the "currency," "life blood," and "new oil" of the information economy. DAMA International has produced the second edition of The DAMA Guide to the Data Management Body of Knowledge (DMBOK2) to support data management professionals. This edition outlines principles for data management, discusses challenges related to following those principles, and provides the context for work carried out by data management professionals within various Data Management Knowledge Areas.
References
Acceldata. (2022, September 7). How to Architect a Data Platform. Retrieved from acceldata.io : https://www.acceldata.io/article/what-is-a-data-platform-architecture
Amazon Web Services. (n.d.). AWS Well Architected Framework. Retrieved from aws.amazon.com : https://aws.amazon.com/architecture/well-architected/?wa-lens-whitepapers.sort-by=item.additionalFields.sortDate&wa-lens-whitepapers.sort-order=desc&wa-guidance-whitepapers.sort-by=item.additionalFields.sortDate&wa-guidance-whitepapers.sort-order=desc
Amazon Web Services. (n.d.). What is AWS? Retrieved from aws.amazon.com : https://aws.amazon.com/what-is-aws/?nc1=f_cc
DAMA International. (2024). DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition, Revised. Los Angles: Technics Publications.
en.wikipedia.org . (n.d.). Data Management Association. Retrieved from en.wikipedia.org : https://en.wikipedia.org/wiki/Data_Management_Association
Groover, M. (2021). Speed of Advance. Lion Crest Publications.
Hiltbrand, T. (2024, May 9). From Data-Driven to Data-Centric: The Next Evolution in Business Strategy. Retrieved from tdwi.org : https://tdwi.org/Articles/2024/05/09/PPM-ALL-From-Data-Driven-to-Data-Centric-Next-Evolution-in-Business-Strategy.aspx
Intrepid Tech Ventures. (n.d.). Understand your data asset. Retrieved from theintrepidventures.com : https://theintrepidventures.com/value-proposition/understand-your-data-asset/
领英推荐
Khan, S. M. (2024, May 9). The data product lifecycle: Getting the most out of your data investments. Retrieved from starburst.io : https://www.starburst.io/blog/data-product-lifecycle/
Roberts, S. (2023, April 18). Understand the four Vs of Big Data. Retrieved from theknowledgeacademy.com : https://www.theknowledgeacademy.com/blog/4-vs-of-big-data/
Rowshankish, R. L. (2023, July 31). The evolution of the data-driven enterprise. Retrieved from mckinsey.com : https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/the-evolution-of-the-data-driven-enterprise
Simon, B. (2021, July 21). Complete Guide to PPT Framework | Smartsheet. Retrieved from smartsheet.com : https://www.smartsheet.com/content/people-process-technology#:~:text=for%20IT%20%26%20Ops-,What%20Is%20the%20People%2C%20Process%2C%20Technology%20Framework%3F,maintain%20good%20relationships%20among%20them .
Tharran, A. S. (2023, October 22). The Evolution of Data Science: Past, Present, and Future. Retrieved from linkedin.com : https://www.dhirubhai.net/pulse/evolution-data-science-past-present-future-aditya-singh-tharran-bmmre/
Wikipedia. (n.d.). Agile Software Development. Retrieved from en.wikipedia.org : https://en.wikipedia.org/wiki/Agile_software_development
Wikipedia. (n.d.). Kanban_(development). Retrieved from en.wikipedia.org : https://en.wikipedia.org/wiki/Kanban_(development)
Wikipedia. (n.d.). Scrum (software developent. Retrieved from en.wikipedia.org : https://en.wikipedia.org/wiki/Scrum_(software_development)
Wikipedia. (n.d.). Scrumban. Retrieved from en.wikipedia.org : https://en.wikipedia.org/wiki/Scrumban
?#DataManagement #DataStrategy #DataLifecycle #DAMA-DMBOK
#DataManagement #DAMA #DMBOK #DataDrivenCompany #DataDriven #BusinessStrategy #PPT #People #Process #Technology #Organization #Data #DataLake #DataWarehouse #Databases #OLTP #OLAP #BigData #Hadoop #AWS #WellArchitectedFramework #DataManagement #DMBOK #DataGovernance #DataIngestion #DataVisualization #DataProcessing #ETL #ELT #MasterData #Metadata #DataSecurity #Security #OperationalExcellence #Relaibility #Sustainability #CostOptimization #PerformanceEfficiency #Kenesis #DynamoDB #Redshift #RedshiftSpectrum #QuickSight?#Trino #Iceberg #Parquet #S3 #Lambda #EC2 #ECS #EKS #VPC #SecurityGroups #Python #PySpark #Spark #SparkSQL #SparkStreaming #DataFrames #RDDs #CoudFormation #AWSConfig #MachineLearning #AI #AI/ML #DataEngineer #MLEngineer #LLMs
?
?