Source: thenewstack.io
The Benefits and Drawbacks of DataOps in PracticeCategory: Business, Data
DataOps does what it is supposed to but may introduce new challenges according to our analysis of the raw data from a survey on behalf of https://data.world/integrations and https://datakitchen.io/dataops-maturity-model/. Two-thirds of the study participants in August’s https://data.world/industryresearch/data-engineer-survey-2021 develop, maintain, and optimize data systems to make data available for analysis.
The success rate doubles for mature DataOps practices, going to 46% of respondents claiming very effective collaboration.
For example, at companies with mature DataOps practices, 36% of respondents say data governance policies may their day-to-day jobs very difficult while only 12% of those at firms that are at an earlier stage in the DataOps process feel this way.
Here is a red flag for employers that are worried about retaining and attracting talent — 43% of those at companies with mature DataOps practices are very likely to depart for another data engineering job in the next 12 years.
The success rate doubles for mature DataOps practices, going to 46% of respondents claiming very effective collaboration.
For example, at companies with mature DataOps practices, 36% of respondents say data governance policies may their day-to-day jobs very difficult while only 12% of those at firms that are at an earlier stage in the DataOps process feel this way.
Here is a red flag for employers that are worried about retaining and attracting talent — 43% of those at companies with mature DataOps practices are very likely to depart for another data engineering job in the next 12 years.
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