Data Platform as a Service Webinar – 18 Sept 2018
The Data Platform as a Service webinar Combining technology from Datalytyx has created a Data Platform that offers infinite scaling and zero administration requirements. Join our webinar to learn how to focus on your organisation's core value and let us manage your data platform. REGISTER WHEN: 18 September 2018, 2-3pm GMT You'll learn how we... […]
Spark AI Summit by Databricks
ExCel Royal Victoria Dock, 1 Western Gateway, London, United KingdomMeet senior AI executives from Databricks, Shell, Ordnance Survey, Facebook, BBC, Microsoft, Nielsen and more at the Spark AI Summit at the ExCel centre in London. Datalytyx will also demonstrate how Databricks and Snowflake are fully integrated for easy-to-use, large scale machine learning applications. Register using discount code 15CPdataly to get 15% off Databricks and Snowflake […]
Talend Connect London 2018
Royal Lancaster Hotel Lancaster Terrace, London, United KingdomJoin us at Talend Connect 2018 at the Royal Lancaster in London on the 15th and 16th of October to boost your data superpowers. The agenda is packed with insightful speakers and relevant topics. We are excited to be a Platinum sponsor, and would like to offer you a 20% discount on your Talend Training day on the 15th October with this code: TCUKDatalytyx REGISTER […]
Big Data London 2018
Olympia London, United KingdomKNOWLEDGE IS POWER. ARM YOURSELF TO EXCEL IN THE BRAVE NEW DATA-DRIVEN WORLD. Big Data London will host leading, global data and analytics experts, ready to arm you with the tools to deliver your most effective data-driven strategy. Open to all and free to attend conference and exhibition. Discuss the big questions and share ideas […]
Large Scale Machine Learning Made Easy
This will be a demonstration of how you can use Azure Databricks to build a recommendation algorithm from your Snowflake database tables. We use the publicly available Netflix movies data, a record of 100 million movie ratings by Netflix users. REGISTER Join us for… • An introduction to the Snowflake environment • An introduction to […]
Modernising your data warehouse
Join us to learn how your organisation can modernise its data warehouse and data operations using powerful, scalable and secure cloud-based technology. Datalytyx has developed a modern data platform with its partners, Talend, Snowflake and Databricks which can run on both AWS and Azure. In this webinar you’ll see how to… Quickly spin up cloud-based […]
Modernising Your Data Warehouse Breakfast Briefing
The Collective HQ 14 Beford Square, London, United KingdomHow do organisations that rely on fast, accurate data streamline their data operations? What technology is available to help companies scale their data warehouse, integrate and cleanse their data and share out consumable data? Join us for this breakfast briefing for answers to these questions from Hermes Enterprise Architect, Conroy Mallen, Datalytyx CTO, Guy Adams […]
Satellite 2019
Walter E. Washington Convention Center Washington, DC 801 Mt Vernon Pl NW, Washington, DC, United StatesDatalytyx will be sponsoring the Satellite 2019 conference in Washington D.C. This is the premiere global satellite conference with 15,000 satellite community veterans in attendance. We'll be joined by G&S Satcom at our booth. Datalytyx is also a finalist in the the Startup Pavillion competing against 6 other startups in the Satellite communications space.
Internet of Manufacturing
Farnborough International Exhibition & Conference Centre Etps Rd, Farnborough, Surrey, United KingdomDatalytyx will be sponsoring the UK's leading industrial IoT event for manufacturers in Farnborough on the 14th and 15th of May. We will be presenting our IoT Timeseries Data Platform, Palladium, as well as our IoT Time Series Data Classifier, Gallium. Our CTO, Guy Adams, will be presenting on Developing a Scalable Business Model with […]
Modernising your data warehouse in 24 hours
Companies are getting stuck when they want to take on new, data-focussed initiatives like Customer 360°, real-time analytics, forecast modelling, etc. Some of the challenges are lack of resources, lack of time, lack of budget and a technological landscape that is getting larger and more complicated every day. While there may be a desire to […]
