HUG Ireland has the pleasure of partnering with Oracle, who are sponsoring our September 12th special event at The Morrison Hotel (https://www.google.ie/maps/place/The+Morrison,+a+DoubleTree+by+Hilton+Hotelfirstname.lastname@example.org,-6.2681787,17z/data=!3m1!4b1!4m5!3m4!1s0x48670e83401492d5:0xdc556b1fc3ff0b3b!8m2!3d53.346672!4d-6.26599) facing the River Liffey on Ormond Quay! We start at 6pm reception & eat treats!! Whilst the 3 great talks by Mark and Jeff to finish up at 9pm, we have the bar until 11pm for networking, which makes for a wonderful evening for members with compliments from the team at Oracle!
So onto the full agenda:
The Future of Analytics, Data Integration and Data Driven Applications on Big Data Platforms by Mark Rittman (https://www.linkedin.com/in/markrittman?authType=NAME_SEARCH&authToken=3wfo&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A2087871%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1468849495932%2Ctas%3Amark%20rittman), CTO of Rittman Mead (http://www.rittmanmead.com/)
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 (https://www.linkedin.com/in/markrittman?authType=NAME_SEARCH&authToken=3wfo&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A2087871%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1468849495932%2Ctas%3Amark%20rittman), CTO of Rittman Mead (http://www.rittmanmead.com/)
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 land 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 Jeff Richmond (https://www.linkedin.com/in/jeff-richmond-aa698713?trk=send_invitation_success_message_name&goback=%2Enpv_AAkAAALQWV4BUvHkNILJeIIX*4RXe*5TD8D4*58ODM_*1_*1_NAME*4SEARCH_D4xs_*1_en*4US_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_*1_tyah_*1_*1), Cloud Enterprise Architect with Oracle UK (https://www.oracle.com/uk/index.html)
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
As usual, the hashtag is #HUGIreland and the event promises to not disappoint with quality speakers on fascinating topics for our technical community! Hope to see you all on the night and see more of the sun in the interim! Happy Summer of 2016 everyone!!