Displaying items by tag: data silos

GUEST OPINION: Data pipelines are the lifeblood of the modern enterprise. Efficient data pipelines can be the difference between an architecture that delivers real value to the business or one that becomes a burden. Enterprises receive data 24 hours a day, seven days a week, from the web, enterprise applications, and mobile and IoT devices. Data engineers must collect, transform, and deliver data to different lines of business, while keeping up with the latest technology innovations to stay ahead of business demands. However, traditional legacy architectures create challenges every step of the way, making the task of the data engineer more complex.

Published in Guest Opinion

Sixty-seven percent of organisations in Australia struggle to provide connected user experiences across all channels, according to integration and API platform provider MuleSoft.

Published in Business IT

GUEST OPINION by Rishu Saxena, Data Platform Architect, Field CTO Office, Snowflake:  Shifting from on-premise IT infrastructures to cloud-based resources has changed the game in the world of data science. Analytics teams now have access to a massive amount of elastic computing power and numerous sources of internal and external data.

Published in Guest Opinion

By Barry Costin, Country Manager, MarkLogic Australia

People start the new calendar year in Australia and New Zealand with grand resolutions to drive change in their organisations. Whether it’s new initiatives, processes, projects, or technologies, legacy and digitally native companies will have differing priorities but there is some common ground.

Tuesday, 06 February 2018 20:18

Is That Data You Deleted Really Gone?

MarkLogic’s Tim Macdermid talks about the impact new global privacy laws will have on Australian organisations and how best to tackle compliance.  

There’s a crackdown happening across the globe with new laws aimed at giving control back to consumers over their personal data. Companies are, and will increasingly be, held responsible and accountable for the customer data they store and mine.

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