The 12th’s return by HUG Ireland in association with Oracle... A September Special for all Big Data lovers…
Whilst the team at HUG Ireland took an event moratorium in August, we have not wasted a minute in setting up a cracking Autumn 2016 schedule for our members, which forms Dublin’s premiere technical Big Data community. November and October already have confirmed speakers covering areas of Data Science and Data Pipelines that should not be missed by one and all!
We have also been busy with the team at Oracle to bring you a great lineout for September 12th at the Morrison Hotel on Ormond Quay from 6pm. Two quality speakers are speaking on the evening on The Future of Analytics, Oracle Big Data SQL and The Three I"s of Big Data with a bar on premises, so we can all catch up with each other on site on what’s new; before and after the quality presentations by Mark Rittman, CTO of Rittman Mead and Ian Sharp, Director of Data Science with Oracle UK.
So, some background on our speakers:
Mark is CTO and co-founder at Rittman Mead, an Oracle (and more recently, Cloudera) Partner specialising in BI, big data and data warehousing implementations, training and support. Mark is an Oracle ACE Director, author of two Oracle Press books and leads Rittman Mead's customer projects around Hadoop, cloud and machine learning.
Ian is a Data Scientist at Oracle with over 15 experience helping customers deliver insight and innovation around business intelligence, Data Warehousing and Big Data. He has worked across industries with organisations such as Worldpay, Sky, NHS, BT, HSBC, AVIVA, the NHS, Bord Gais and the Discovery Channel.
The Future of Analytics, Data Integration and Data Driven Applications on Big Data Platforms by Mark Rittman, CTO of Rittman Mead
Up until now thought of as a cheap storage offloading layer for more capable relational data warehouses and BI tools, Hadoop is fast maturing into the default platform for all analytic and data integration workloads. In this session we'll look at how technologies such as Apache Arrow, Apache Kudu and Apache Drill will bring in-memory, column-store BI functionality to Hadoop but extend that to cover flexible-schema data held in data lakes and NoSQL databases; we'll see how Apache Spark, Apache Kafka and real-time streaming functionality coming to vendor ETL tools such as Oracle Data Integrator will enable real-time loading and integration with traditional relational databases; and finally we'll see how a new generation of e-commerce, logistics and customer applications will take advantage of the machine learning and predictive analytics capabilities provided by Hadoop to add smarts and intelligence to day-to-day operational applications.
Using Oracle Big Data SQL to add Hadoop + NoSQL to your Oracle Data warehouse by Mark Rittman, CTO of Rittman Mead
Oracle Big Data SQL 3.0 extends the Oracle SQL dialect, security framework and advanced analytics capabilities of the Oracle database to big data platforms, initially just for Oracle Big Data Appliance but now made available for commodity Cloudera and Hortonworks clusters. Complementing basic Apache Hive but competing with other next-generation SQL-on-Hadoop solutions such as Impala, Presto and Drill, Oracle Big Data SQL lets you work with big data sources as if they were another set of external tables – and can bring Exadata style query offloading to this significantly lower-cost platform. In this session we’ll explore at a technical level how Big Data SQL works (including the key limitations and “gotchas”), see how features such as storage indexes and storage handlers introduced with the 2.0 release significantly improve what the product can do, how statistical and advanced analytics features in Oracle Database Enterprise Edition can also be used on Hadoop sources, understand at a high-level what bringing Oracle security Hadoop means – and see if it’s really now possible to use Big Data SQL without the previous Exadata and BDA prerequisites.
The Three I"s of Big Data, Insight, Innovation and Identify by Ian Sharp, Lead Data Scientist with Oracle UK
Insight and innovation aside, Big Data Social Media is increasingly about Identity; who we are, who we aspire to be, and in the case of Fraud and Theft, who we pretend to be. Data Science, Big Data Analytics and Machine Learning have emerged as the prime technologies and disciplines to distill nuances and value around these identities. This presentation discusses the challenges and opportunities of big data analytics against polyglot sources, the evolution of new languages and frameworks such as R, Python, SciKit Learn and Zeppelin and the operational settings around wider BI consumption, Streams and Apps APIs. Using leading edge reference cases, we will explore the stories and focus on the challenges for integration, governance and stability faced in their transition from Hadoop driven Innovation to Mainstream business success. Finally we will highlight some up and coming trends for the industry to watch
So, RSVP today and check out our twitter hashtag at #HUGIreland for the latest from our community. Looking forward to seeing you all on the 12th!
Sources/Credits:
Pics:
Hadoop User Group (HUG) Ireland
Credits:
Morrison Location:
Event Page:
Speaker Profiles:
Ian:
Mark:
No comments:
Post a Comment