In 2014, infrastructure components such as Hadoop, Berkeley Data Stack and other commercial tools have stabilized and are thriving. The challenges have moved higher up the stack from data collection and storage to data analysis and its presentation to users. The focus for this year’s conference on analytics – the infrastructure that powers analytics and how analytics is done.
Talks will cover various forms of analytics including real-time and opportunity analytics, and technologies and models used for analyzing data.
Proposals will be reviewed using 5 criteria:
Domain diversity – proposals will be selected from different domains – medical, insurance, banking, online transactions, retail. If there is more than one proposal from a domain, the one which meets the editorial criteria will be chosen.
Novelty – what has been done beyond the obvious.
Insights – what insights does the proposal share with the audience that they did not know earlier.
Practical versus theoretical – we are looking for applied knowledge. If the proposal covers material that can be looked up online, it will not be considered.
Conceptual versus tools-centric – tell us why, not how. Tell the audience what was the philosophy underlying your use of an application, not how an application was used.
Presentation skills – proposer’s presentation skills will be reviewed carefully and assistance provided to ensure that the material is communicated in the most precise and effective manner to the audience.
For queries about proposals / submissions, write to email@example.com
Data Collection and Transport – for e.g, Opendatatoolkit, Scribe, Kafka, RabbitMQ, etc.
Data Storage, Caching and Management – Distributed storage (such as Gluster, HDFS) or hardware-specific (such as SSD or memory) or databases (Postgresql, MySQL, Infobright) or caching/storage (Memcache, Cassandra, Redis, etc).
Data Processing, Querying and Analysis – Oozie, Azkaban, scikit-learn, Mahout, Impala, Hive, Tez, etc.
Big data and security
Big data and internet of things
Data Usage and BI (Business Intelligence) in different sectors.
Please note: the technology stacks mentioned above indicate latest technologies that will be of interest to the community. Talks should not be on the technologies per se, but how these have been used and implemented in various sectors, enterprises and contexts.
Advanced Big Data Analytics using Apache Mahout and Giraph
It is difficult to address Graph and machine learning problems using the MapReduce framework. Mostly these problems need multiple iterations of complex algorithms, which can be a little tricky and diffciult to implement in MapReduce. However, there are two frameworks available to address such problems I.e graph and machine learning problems in the Hadoop ecosystem. Apache Giraph is a graph-processing framework designed to run large-scale algorithms. Apache Mahout is a framework that provides implementations of distributed machine learning algorithms.
In the session we would be discussing foillowing topics:-
PageRank with Apache Giraph,
Single-source shortest-path with Apache Giraph,
Using Apache Giraph to perform a distributed breadth-first search,
Collaborative filtering with Apache Mahout,
Clustering with Apache Mahout,
Sentiment classification with Apache Mahout.
After the session the audience would be having basic idea of Mahout and Apche Giraph.Along with it, they would be able to implement the basic concepts of machine learning.
Hadoop environment running in pseudo distributed mode.
Swapnil Dubey is a Big Data Hacker and Trainer at GoDataDriven. He has close to 5.5 years of experience in the Software Industry.He is a Cloudera Certified Hadoop developer.He has worked on several projects in the BFSI and E-commerce domain. Worked extensively in the data quality domain using Java/J2ee and Hadoop as the primary technology. He has an inclination to open source technologies and likes to explore/delve into new framework.
Swapnil also has the experience of presenting at various conferences at national level on Bigdata.Recently presented two topics at DrDoobsConference(April,2014) Banglore.
- Apache Flume
- Solving complex problems with hadoop