HUG UK MeetUP @ Strata+Hadoop World 2016

Hi Folks,

We are pleased to confirm three great talks covering the latest and greatest from the world of Big Data and Hadoop for our upcoming HUG UK MeetUp on 1st June 2016.

NOTE: The MeetUp will take place in the Capital Suite 2/3 @ExCel London

PRESENTATION 1 : Introduction to Apache Kudu

The Hadoop ecosystem has made great strides in its real-time access capabilities, narrowing the gap compared to traditional database technologies. With systems such as Impala and Spark, analysts can now run complex queries or jobs over large datasets within a matter of seconds. Despite these advances, users are often caught between a rock and a hard place: columnar formats such as Apache Parquet offer extremely fast scan rates for analytics, but little to no ability for real-time modification or row-by-row indexed access.

This talk will investigate the trade-offs between real-time transactional access and fast analytic performance from the perspective of storage engine internals. It will also briefly describe the demo of Apache Kudu (http://blog.cloudera.com/blog/2015/09/kudu-new-apache-hadoop-storage-for-fast-analytics-on-fast-data/), the new addition to the open source Hadoop ecosystem that fills the gap described above, complementing HDFS and HBase to provide a new option to achieve fast scans and fast random access from a single API.

Presenter: Todd Lipcon, Cloudera Engineer. Todd is a committer and a PMC member on the Apache Hadoop, HBase, and Thrift projects. Prior to Cloudera, Todd worked on web infrastructure at several startups and researched novel machine-learning methods for collaborative filtering. Todd received his bachelor’s degree with honours from Brown University.

PRESENTATION 2: Introduction to AtScale – the OLAP engine for Hadoop

AtScale is an advanced OLAP engine built from the ground up for and on Hadoop. Data analysts can create virtual cubes from Hive metadata in minutes using the AtScale Design Center’s visual drag and drop tool running in a browser. No special clusters are required and data is never moved out of Hadoop. With AtScale, business users get interactive and multi-dimensional analysis capabilities, directly on Hadoop, at maximum speed, using the tools they already know, own and love – from Microsoft Excel to Tableau Software to QlikView. Built by Big Data Veterans from Yahoo!, Google and Oracle, AtScale has enabled BI on Hadoop at major enterprises such as Amex, Comcast and Macy’s.

Presenter: Dr Nigel Geary, Product Evangelist with AtScale. Nigel has spent his entire career working with cubes and in 1991 was one of the original designers of Essbase, the first OLAP server that led Dr Ted Codd to first coin the term OLAP. Prior to joining AtScale Nigel was the founder of PrecisionPoint Software, creator of hyper-cubes for ERP systems, and was also a BI architect for the Data Lake Project at Centrica. Nigel has a PhD in engineering for polymer modelling from the University of Liverpool.

PRESENTATION 3: Building an IOT platform using NiFi and Storm for Logistic Optimization​

Internet of Things (IOT) has been getting huge traction these days; it presents new opportunities and challenges for larger and smaller enterprises in various sectors ranging from insurance, transport, banking, healthcare, telecom , manufacturing, oil and gas to education and agriculture. Real time data with contextual local information enriched with historical knowledge is changing business models in these sectors. The success or failures of an organization depends on how they react to events that they experience while serving their customers. It is not their action but reaction that decides customer experience. Organizations use various methods to capture this customer experience to provide a measured response to an event that drive the customer to dissatisfaction. For example, Uber has been successful in providing a response to customer’s need with real time analyses of the data. IOT provides opportunity to sense the ecosystem around us to measure various factors and gauge our feelings about products or services that we may be using. It provides opportunity to take actions, possibly predictive in response to such events. In this talk we will present one of the way of building such platform which will enable us to acquire the data from various devices, ingest it and analyse with enriched datasets. It will demonstrate the use of technologies such as NiFi, Storm to build such platform with Logistics Optimization as a use case.

Presenter: Prashant Bhalesain, is a Big Data Architect at WHISHWORKS. Prashant has been working in Big Data Technologies for past 4 years and has built hadoop based platforms and solutions for organizations in Telecom, Retail, Medical Devices and Banking. He holds a Masters Degree in Technology from Indian Institute of Technology, Mumbai.

Looking forward to a really great night.

See you there!

HUGUK Team.