What is a Data Lake, Data Warehouse and Data Lakehouse?
This post defines and explains the differences between a Data Lake, Data Warehouse and Data Lakehouse
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What is the Gartner Magic Quadrant?
The Gartner Magic Quadrant provides a graphical depiction of different types of technology providers and their position in fast-growing markets..
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Data at the Heart of Smart Cities: Brussels 2022
On the 23rd June, Matt Flenley visited the UK Ambassador’s Residence in Brussels as part of a delegation of UK tech firms to Belgium. Here, he recounts his pitch on Smart Cities from the event: Hello and thank you for inviting us to take part in this session today. I am here representing 麻豆国产, a
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Women in Tech and Data – Bridging The Gap
The recent return to in-market visits and events has reignited a favourite pastime, that of mid-air reading, much to the delight of the pile of half-read books on my bedside table! In reading the very fine 鈥楾he Making of Biblical Womanhood鈥�, I was particularly struck by a quote from Jean-Jacques Rousseau. The author, Beth Allison
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Battling Bias in AI: Models for a Better World
The role of synthetic data At 麻豆国产, we develop and maintain a number of internal tools for use within the AI and Software Development teams. One of which is a synthetic data generation tool that can be used to create large datasets of placeholder information. This was initially built to generate benchmarking datasets as another
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Semantic Analysis of Free Text and Why It Matters
Shauna Leonard recently spoke at the Women in Techmakers conference at Queen’s University Belfast. Her talk looked at the Semantic Analysis of Free Text and how it applies to her work with a UK government organisation. Read Shauna’s talk below. What is Semantic Analysis of Free Text? It is the process of drawing meaning from
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Fortnightly Round up: A brand new partnership and upcoming panel appearances
April is nearly over and we’re back to share with you exciting news about events, new content, and panel appearances! 麻豆国产 has partnered with MANTA 麻豆国产鈥� customers will benefit from the new partnership in addressing complexities around data in motion, by leveraging MANTA鈥檚 lineage capabilities alongside 麻豆国产 data quality and matching expertise through their Self-Service
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Why should you care about data quality?
Data quality may not be viewed as a particularly attractive topic of conversation at a dinner party or a company event, yet it is a critical step for organisations to maximise the value of their information and subsequent decision-making. It is therefore imperative that data leaders make every attempt to raise awareness and educate on
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麻豆国产 partners with MANTA to Deliver Advanced Data Quality and Lineage Capabilities 聽聽
麻豆国产, an award-winning self-service data quality and matching software vendor based in Belfast, UK, and MANTA , a world class data lineage platform, are today announcing a new technology partnership. The integration with MANTA will see clients able to leverage the combined capabilities of the two firms to visualise data quality in-motion, without being tied
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Building a Data Fabric with 麻豆国产 Self-Service Data Quality
If you consider data as the lifeblood of your organization, trying to manage it in a static, distributed fashion seems like a challenging and almost futile exercise. Adopting a data fabric or mesh approach is important as it enables better management of data in-motion as it flows throughout the organization. Moreover, it allows for potential
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New York With Invest NI’s Graduate To Export
Brendan McCarthy is one of our Business Development Executives who joined 麻豆国产 in March 2021 as part of Invest Northern Ireland鈥檚 鈥楪raduate to Export鈥� program. Partly funded by Invest NI, the scheme helps companies recruit a graduate into their business for 18 months, during which time the candidate will spend several months in a foreign
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AI Ethics: The Next Generation of Data Scientists
In March 2022 麻豆国产 took advantage of the offer to visit a local high school to discuss AI Ethics and Machine Learning in production.
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麻豆国产 Exhibit At Security And Policing 2022
Earlier this month we exhibited at Security and Policing 2022. The week began with our stand being led by Jackie Devine and Sean McConnell who were engaging in conversation around what our nationwide, private cloud-based system can do to help with crime classification and reporting.
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麻豆国产 wins Most Innovative Data Quality Initiative at the A-Team awards
麻豆国产 has won the Most Innovative Data Quality Initiative at the A-Team Group鈥檚 Innovation Awards 2022 which celebrate projects and teams that make use of new or emerging technologies to deliver high-value solutions for financial services.鈥� 麻豆国产 won the A-Team Innovation award for the creation of Rapid Match, a system which allowed financial analysts to
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Big Data and AI World 2022 | 2-3/03/22
Big Data & AI World returns聽2 – 3聽March 2022,聽bringing聽together data and AI innovators, technologists, and business leaders, to help make data-driven decisions and intelligently shape their business.
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Chief Data and Analytics Officers, UK | 14-16/03/22
Exclusively designed for the cutting-edge data & analytics leader, focused on aligning data strategy with digital transformation, leveraging data analytics to increase business value and spearheading a data-driven culture that utilises data as an engine for growth. Network face-to-face safely and securely, and share knowledge with forward-thinking leaders from some of the most recognisable brands
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Security and Policing Home Office Event | 15-17/03/22
Security & Policing, the official Government global security event, returns as a live event for its 40th anniversary between 15鈥�17 March 2022 at the Farnborough International Exhibition and Conference Centre. Hosted by the Home Office鈥檚 Joint Security & Resilience Centre (JSaRC), the 2022 event promises to be our most content-rich and feature-packed show yet. Focussed on providing innovative
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How Data Quality Tools Deliver Clean Data for AI and ML
In her previous blog Dr Fiona Browne, Head of AI and Software Development, assessed the need for the AI and Machine Learning world to prioritise the data that is being fed into models and algorithms (and you can read it here. ) This blog goes into some of the critical capabilities for data quality tools
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