It’s hard to be strategic when you’re fighting fires every minute. Half the respondents to this Digibee survey say they’ve rebuilt six or more key integrations in the past twelve months and 48% say poor integrations have impeded innovation. But just 7% have a data integration strategy in place, even though 57% say it’s a top priority.
Let’s pay some attention to data engineering today, Dear Reader. Observability vendor Monte Carlo Data finds that quality issues impact most or all business decisions at 47% of companies, and 26% of revenue is impacted by poor data quality. The average data engineer spends two days a week dealing with data quality incidents – and 58% say the number of incidents has increased in the past year.
If you think data issues are challenging today, just wait. Ocient finds that mere “big data” is being replaced by “hyperscale data”, which involves higher volumes and near-immediate analytics. Nearly all respondents (97%) expect data volumes to rise quickly in the next few years and 59% expect to move to a new data warehousing platform to handle the growth.
If you still think that MCP stands for Male Chauvinist Pig, well, the 1970’s want their disco ball back. Today’s hep cats know that MCP stands for Model Context Protocol, a new-but-widely supported standard that lets large language models access structured data as context for their prompts. Early adopters include Salesforce and Adobe, and search platform Algolia is now using it to feed their data to customer-facing real-time AI agents.