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Training - Big Data & Cloud for Data Warehouse Professionals
Wed 22 March 2017, 09:30 – 17:30 GMT
This course shows data warehouse professionals how they can benefit from big data technologies, tools, and concepts to solve common problems in their Enterprise Data Warehouse. It caters for data warehouse managers, architects, developers and anyone who is involved in data warehousing and business intelligence.
Objective: After completing this course you will be able to address the shortcomings of the traditional approach to data warehousing and solve common EDW headaches.
Coursework: The training is based on slides. Some demonstrations will be delivered during the training.
Duration: 1 day
Pre-requisites: Understanding of data warehouse concepts and architecture
The course offers the following benefits
- The course will introduce Big Data concepts, tools, and technologies to professionals with a data warehouse background.
- The course will provide guidelines and best practices on solving common data warehouse problems.
- The course will cut through the Big Data marketing hype. It will give a balanced view of what works and what doesn’t.
- The course will give you reference architecture templates to implement common data analytics use cases in your own organisation.
- You have probably heard of Pig, Hive, Flink, Impala, Storm, Kafka, Hadoop, Spark, Avro, Samza etc. New data tools and technologies are emerging on a daily basis. The course will help you evaluate which of these tools are mature and useful.
- Become a data evangelist. Propel your data analytics career. Save your organisation millions.
What you will learn:
The traditional approach to data warehousing has served us well over the last 25 years. However, various cracks have shown up over the last couple of years and we as data warehouse managers, architects, and developers are faced with a multitude of problems.
- The data warehouse is too slow to turn around questions by the business. Anything between 3-9 months is spent to get a new subject area into the data warehouse. 80-90% of enterprise data never makes it into the data warehouse. Important business decisions are made without seeing the full picture.
- The digitisation of all aspects of life has led to an explosion of data volumes. Machine generated data fuels the flames of data growth. Our data warehouse is bursting at the seams. License costs are soaring.
- Traditional data warehouse architecture and technology does not cater well for certain workloads, e.g. unstructured data, streaming data, and graph data.
- Advanced analytics has always been a secondary concern in the EDW. This is somewhat strange as advanced analytics applications deliver the greatest ROI.
The Trainer: Uli Bethke
Uli has 17 years’ hands on experience as a consultant, architect, manager, and developer in the data industry. He frequently speaks at conferences and is globally recognised as an industry thought leader. Uli has architected and delivered Big Data projects in Europe, North America, and South East Asia. He understands both the traditional world of data warehousing AND the brave new world of Big Data. He is a regular contributor to blogs and books, holds an Oracle ACE award, and chairs the Hadoop User Group Ireland (~1,100 members, www.hugireland.org), which is a big data forum for Irish data professionals (events, networking). He is also a co-founder and VP of the Irish chapter of DAMA, a non for profit global data management organization. He is also a co-founder of the Irish Oracle Big Data User Group.
What are my transport/parking options for getting to and from the event?
Free on-street parking.
Alternatively paid and secure parking in Smithfield: https://bookings.parkrite.ie/CarPark/ListDetails/7
LUAS Smithfield Stop. 16-minute walk approx. to Grangegorman. Cross Smithfield square to Kings Street North. Turn right onto Georges Lane, cross at the traffic lights onto Grangegorman Lower. Continue for 500 meters to entrance.
4 Monkstown Village - Harristown (Finglas north/St. Margarets) via city centre. Nearest stop – Phibsborough town centre.
9 Charlestown (Finglas north) – Limekiln (Greenhills) via city centre. Nearest stop – Phibsborough town centre.
37 Blanchardstown - Baggot Street via O’Connell bridge. Nearest stop - Aughrim Street.
39, 39a Ongar (Blanchardstown) – Donnybrook via O’Connell Bridge. Nearest stop - Prussia Street.
46a Dun Laoghaire - Phoenix Park - From Lower Leeson St/St. Stephen's Green (stop 786) or St. Stephen's Green/Dawson Street (stop 790) to Phoenix Park. Stop 798 (280 N.C.R. - first stop after St. Peters Church). Walk straight ahead and turn right onto Rathdown Road. Continue for 500 meters to Grangegorman entrance.Dun Laoghaire via city centre. Nearest stop - N.C.R. Prussia Street.
70 Dunboyne-Donnybrook, via city centre. Nearest stop - Prussia Street.
83 Kimmage – Harristown (Finglas north/St. Margarets) via city centre. Nearest stop – Phibsborough town centre.
How can I contact the organiser with any questions?
+353 1 5345 015
What's the refund policy?
Full refund possible before 15 March 2017.
Is my registration fee or ticket transferrable?
Is it ok if the name on my ticket or registration doesn't match the person who attends?
Do I have to bring my printed ticket to the event?