Matillion

Attention, Data Geeks! Just like a fine gin blend, data engineers know that creating the perfect ETL solution needs an unstructured database mix - with a splash of synthetic data, a side of PDF clarity, underpinned by sugar-powered encryption. Vibe coding this week, plus vector stores and AI distillation ?? Welcome to your weekly rendezvous with the latest and greatest in the ever-evolving world of data ?? #dataengineering #datageek #dataengineerjobs #dataarchitecture

See Matillion action! Join us at Big Data and AI World (London) today and tomorrow to: ?? see Data Productivity Cloud and co-pilot first hand ?? take on the greatest data game ever created ?? grab some awesome swag! ?? discover how we can transform how your organisation finds value in your data. Come say hi ?? We can’t wait to see you! #BDAIW #BigDataAIWorld

?? LAST CHANCE ?? See intelligent data integration in action ?? Join our Zero Data Friction virtual event today to hear first hand from organizations leveraging intelligent data integration. Including: Daniel Adams, Edmund Optics Alexander Rietbroek, Alliander Patrick Buell, Hakkōda And of course, our exclusive fireside chat with Snowflake CEO Sridhar Ramaswamy and Matillion CEO Matthew Scullion. Register now: https://lnkd.in/eHEzVW5F #DataIntegration #Data #AI #Snowflake

Tomorrow ?? Join two heavyweights of the data world in an exclusive fireside chat: Sridhar Ramaswamy, Snowflake CEO and Matthew Scullion, Matillion CEO and Co-Founder ?? Talking how AI is transforming data productivity, automation and universal data access. Last chance to register now https://lnkd.in/eHEzVW5F #Data #AI #DataIntegration #GenerativeAI #Snowflake #ZeroDataFriction

We asked Ciaran Dynes what CIOs' top priority should be for the year ahead and the answer was pretty simple. CIOs must go beyond traditional structured data and unlock the full potential of unstructured data. In his latest post over on our blog, Ciaran shares: ? Why once CIOs understand the value of what’s hidden in their unstructured data and how GenAI can unlock it, there’s no turning back. ? How to get to the point of realizing value from unstructured data. ? Why this is actionable and isn't just theoretical. Read the full post ?? https://lnkd.in/ekYtNgBS

Thank you to everyone who came to see us at #GartnerDA! ?? We demo’d our AI capabilities with Data Productivity Cloud ?? Mark Balkenende and Thomas Ridings took to the stage to share how you can unlock data productivity with agentic ETL ?? And we gave away some awesome prizes. Congratulations to our winners ?? Michelle Laidlaw, Robert Peters, Ben Koetterhagen ?? Lovely to bump into George Firican too! #data #AI #analytics #gartner

Attention, Data Geeks! When logical reasoning hits home: measuring data's value sparks debate. More tech rivalries this week, plus how to experiment, AGI’s promise, and why Copilot peeks at private repositories - because the only thing dating faster than tech is a slowly changing dimension. Welcome to your weekly rendezvous with the latest and greatest in the ever-evolving world of data... ?? #dataengineering #datageek #dataengineerjobs #dataarchitecture

Unlock the Future of Data Productivity ?? Join us for an exclusive virtual event where Matillion CEO, Matthew Scullion, and CPO, Ciaran Dynes, unveil the latest innovations and product roadmap for the Data Productivity Cloud. Special Guest: Sridhar Ramaswamy, CEO of Snowflake Discover how AI is transforming the data landscape - boosting productivity, eliminating friction, and unlocking the power of Universal Data. https://lnkd.in/eHEzVW5F #DataEngineering #DataEngineer #Data #AI #GenAI #DataIntegration

What happens when you gather a room full of experts to talk tackling data debt? ?? Genius! A special thank you to Tom Christensen, LTIMindtree Nordics Thought Leader, for this fantastic post sharing a summary of the conversation. https://lnkd.in/e3HM_8We ?? TLDR: The impact of data debt ?? Slowed innovation: Data debt delays the development of new data-driven services, impacting product launches and the ability to leverage advanced technology like AI. ?? Compliance risks: Poor governance and weak?data governance frameworks?increase the risk of breaching regulations such as GDPR, the?EU AI Act, or other region-specific privacy laws. ?? High operational costs: Data issues often lead to inefficient workflows and reliance on manual processes, which are both costly and resource-intensive. ?? Reduced decision-making accuracy: Leaders cannot afford to rely on incomplete or low-quality data when making critical decisions. ?? Strained IT resources: IT and data teams spend substantial time maintaining outdated data infrastructure instead of pursuing value-generating activities. Great to see you Daniel Palmgren, Ph.D. Girish Agarwal, Mati-ur-Rehman Khan, Abhishek Chaudhary, Efthymios Stathakis, Ph.D, Ramakrishna P, Peter Gustavsson, Ramesh Desu, H?kan Jonsson, Abbas Manouchehri, Anoop Sharma, Pradeep Nair, Erik Johannisson, Olga Khmelnytska, Zak Buttery, Lucy Smith

I’m The Hidden Challenge in Data Engineering ???? Schema drift ? Is there anything more frustrating than when source data files change unexpectedly - new columns, missing fields, altered data types - breaking data pipelines, causing delays and generating inefficiencies. This issue, known as schema drift, is the bane of many data engineers' existences. So what's the answer? ? Automated Schema Inference solves this for CSV files by dynamically detecting and adjusting to changes in incoming data, ensuring smooth ingestion and reducing manual intervention. ? Matillion’s pushdown architecture makes this process seamless and cost-effective by letting the database handle schema inference. This means faster, more reliable data ingestion—without additional processing overhead. ? The result? Data teams can focus on transformation and integration rather than managing schema changes manually. Read more: https://lnkd.in/g-xvTS5F #DataEngineering #SchemaDrift #Automation #AI #Matillion