As a global leader in technology research, Gartner provides insights and insights into new technology trends, tools, and solutions to help businesses, organizations, and organizations. nonprofits and government agencies.
Gartner has placed a special emphasis on helping data and analytics (D&A) professionals make the best choices for managing and creating value from data in their business as it evolves. of big data over the past ten years.
Reports from Gartner Hype Cycle for master data management focus on a specific set of technological capabilities, analyzing the importance and commercial implications of innovations in that area. According to hype cycle reports, today’s acceptance level and time until widespread adoption are both judged along with the maturity of the technology.
You can find more than 100 pages of insights into more than 30 data management technologies in Gartner’s 2022 hype cycle for master data management report. This study has five key points that we’ve highlighted below so you can use them to guide the planning of D&A activities in your company.
Nội Dung Chính
- 1 Hype Cycle for Master Data Management Insights from Gartner’s 2022 Hype Cycle Report
- 1.1 Data Mesh Technology Is Going Extinct
- 1.2 Three Transformative New Technologies Found by Gartner
- 1.3 Tools for Data Prep and Integration Promising to Bring High Benefits
- 1.4 The Buzz Around Data Lakehouse Solutions is Growing
- 1.5 Technologies for Event Stream Processing Possess a Revolutionary Potential
- 2 Conclusion
Hype Cycle for Master Data Management Insights from Gartner’s 2022 Hype Cycle Report
Data Mesh Technology Is Going Extinct
In the hype cycle for master data management, Data Mesh is practically dead on arrival despite being listed in Gartner’s Data Management Hype Cycle for the first time.
Data Mesh technology is predicted by Gartner to become obsolete before reaching the Plateau of Productivity, the final stage of the hype cycle where real-world benefits and the tools for realizing them are well established. Information Stewardship Applications and iPaaS for Data Integration are the other two technologies for managing data.
How come this is the case?
Data mesh solutions, according to Gartner, use business applications to gather data and then make it accessible in a distributed format. After a centralized data management solution fails, typically as a result of subpar delivery and implementation, a distributed approach to data administration is frequently used. But as new technologies and solutions developed to enable a centralized method of accessing data, it is anticipated that distributed methods like Data Mesh would lose favor among company IT departments.
Three Transformative New Technologies Found by Gartner
Enhanced FinOps, data marketplaces and exchanges, and data observability technologies are three new technologies with revolutionary potential that were not included in the 2021 edition of Gartner’s hype cycle report for data management.
Financial governance and cost optimization efforts in the cloud are handled by enhanced FinOps technology, which combines traditional DevOps principles with artificial intelligence and machine learning techniques. With the aid of this technology, businesses will be able to automate the cost-optimization of cloud resources in accordance with their stated corporate goals.
With the use of machine learning algorithms, data observability technology offers mechanisms that let enterprise IT and data teams monitor and control the condition of data pipelines and infrastructure.
Organizations can monetize their data by selling it to third parties via recurring subscriptions or a one-time purchase through data markets and exchanges, breaking down the walls that inhibit collaboration and creativity.
All three of these technologies, according to Gartner, will reach maturity within the next five to ten years and have the potential to have a transformative impact.
Tools for Data Prep and Integration Promising to Bring High Benefits
Gartner has released a specific table for data management technology called a “Priority Matrix” as part of this Hype Cycle report. The table divides the 37 technologies discussed in the report into categories based on the benefits they are expected to bring and the time it will take for them to become widely used.
The Priority Matrix from Gartner aids in the identification and adoption of technologies by D&A professionals that are nearing a late degree of development and anticipated to provide significant, if not transformational, benefits.
D&A experts should take into account investments in Augmented Data Management and in-DBMS Analytics, as well as Data Integration Tools and Data Preparation Tools, according to Gartner’s Priority Matrix. In less than two years, these technologies are expected to mature, enabling process enhancements that will aid firms in boosting sales or realizing cost savings.
The Buzz Around Data Lakehouse Solutions is Growing
Data lakehouses are the only technology to get past this stage and approach the Peak of Inflated Expectations in 2022, according to Gartner’s Data Management Hype Cycle study. This technology is referred to as a “Innovation Trigger” in the 2021 version of the report.
A data lakehouse is described by Gartner as a “converged infrastructure environment that combines the semantic flexibility of a data lake with the production optimization and delivery of a data warehouse”.
To put it another way, a data lakehouse combines data warehouse functionalities like data discovery, metadata management, data governance, SQL queries, batch and stream processing, and support for BI tools with data lake storage philosophy (easy data ingest, schema-on-read, support for multiple data and query types, democratized access, and cost-effective storage).
A single data lakehouse solution combines the best aspects of both to boost productivity and lessen the need for data migration and duplication, but integrating a data lake and a data warehouse to enable analytics can result in high complexity and expensive data transfer.
Technologies for Event Stream Processing Possess a Revolutionary Potential
The highest benefit trating given by Gartner’s hype cycle for master data management when assessing the possible advantages of a Data Management technology is “Transformational.” A transformative technology will, to quote Gartner, “enable new ways of doing business across industries that will result in major shifts in industry dynamics.”
What is the upcoming transformative technology in data management, then? Event stream processing technology, claims Gartner, enables firms to integrate or analyze data as it comes in, providing situational awareness and close to real-time responses to new possibilities and problems.
Even though Gartner estimates that just 20–50% of its target audience has adopted Event Stream Processing, it has been used to analyze data from financial markets, telecommunications, and IoT devices, as well as for supply chain and fleet management operations.
The analysis predicts that this technology will reach full maturity in two to five years and offer adopters game-changing advantages. The IoT and customer experience management sectors are predicted to grow rapidly.
By carefully categorizing and evaluating the market’s existing data integration solutions, Gartner’s new Hype Cycle for Master Data Management Integrated Deployment study was created to provide advice to leaders. D&A lead on cloud data integration.