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Ellicium Solutions | Big Data | Data Science | Analytics | India | USA | Australia

Ellicium is Big Data & Data Science Company focused on deriving insights from Streaming & Unstructured Data, with offices in India, Australia and USA.

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Ellicium Solutions | Big Data | Data Science | Analytics | India | USA | Australia | ellicium.com Reviews

https://ellicium.com

Ellicium is Big Data & Data Science Company focused on deriving insights from Streaming & Unstructured Data, with offices in India, Australia and USA.

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Ellicium | Human Data Solution

https://www.ellicium.com/human-data-solution

Ellicium Human Data Solution is a cloud based Big Data Analytics platform used for analyzing text and un-structured data. It comes with its own data extraction and capture engine for all kinds of text and un-structured data; it is also equipped with a comprehensive Natural Language Processing (NLP) and Machine Learning Libraries to classify and analyze textual data. Adding additional data points for evaluating credit worthiness of a borrower. Why is it required? Businesses engaged in direct Business to C...

2

Ellicium | Partners

https://www.ellicium.com/partners

Cloudera was founded in October 2008 to deliver the first enterprise-class implementation of Apache Hadoop. Not only was Cloudera the first company formed to build solutions based on Hadoop, but Doug Cutting, the co-creator of Hadoop, joined the company in 2009 as our Chief Architect and remains in that role today. Founded in 2011 by 24 engineers from the original Yahoo! Hortonworks is focused on the deep integration of Hadoop with existing data center technologies and team capabilities. By tightly coupl...

3

Ellicium | Leadership Team

https://www.ellicium.com/leadership-team

Bhushan has spent over a decade providing risk and data management solutions to the financial services sector. He has successfully implemented financial risk and regulation related frameworks for clients across US, Hong Kong, China, Middle East and India. He holds an MBA in Finance from Pune University. In his career span, he has had the opportunities to work with established brands as well as start-ups. Kuldeep holds a Bachelor's degree in Mechanical Engineering, Masters in Software Systems and is pursu...

4

Ellicium

https://www.ellicium.com/home/blogdetail/5-things-i-have-learned-from-working-with-creative-artists-1

5 Things I have learned from working with Creative Artists. Day It was more than what I imagined and I really liked what they had put up. My entire team liked their work too; so, we decided to pour in some more work on them. They have mastered the art of Learning, Un-Learning and Re-Learning. Actually, it is not. In fact, these creative minds are more process oriented than we usually think. They always link purpose with end deliverables. I noticed that these people were always focused on the purpose; i&#...

5

Ellicium | Sitemap

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Save your time | Stat'Rgy

http://statrgy.com/save-your-time

Your data analyst partner. January 10, 2014. February 6, 2014. Make your analysis in just a click, generate automated report, visualize your results on dashboard. Use of existing tools for creating your dashboard (Tableau, QlikView, Pentaho, MicroStrategy, etc) or create your own custom one using technology like JQuery, JavaScript, Php, Python or R. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. When relational databases are not good enough.

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How-to: Do Statistical Analysis with Impala and R - Cloudera Engineering Blog

http://blog.cloudera.com/blog/2013/12/how-to-do-statistical-analysis-with-impala-and-r

Skip to main content. Best practices, how-tos, use cases, and internals from Cloudera Engineering and the community. How-to: Do Statistical Analysis with Impala and R. December 16, 2013. The new RImpala package brings the speed and interactivity of Impala to queries from R. Our thanks to Austin Chungath, Sachin Sudarshana, and Vikas Raguttahalli of Mu Sigma. A Decision Sciences and Big Data analytics company, for the guest post below. To overcome this drawback, Cloudera introduced Cloudera Impala. Which ...

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Customers | Stat'Rgy

http://statrgy.com/customers

Your data analyst partner. January 9, 2014. December 1, 2015. Stat’Rgy works with all kinds of companies, from international groups to small- or medium sized business. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. When relational databases are not good enough. Spark streaming: simple example streaming data from HDFS. Best data processing engine: Flink vs Spark. On Scala vs Python. On Storm vs Spark. On Best data processing engine: Flink vs Spark.

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Spark streaming: simple example streaming data from HDFS | Stat'Rgy

http://statrgy.com/2015/06/04/spark-streaming-simple-example-streaming-data-from-hdfs

Your data analyst partner. Spark streaming: simple example streaming data from HDFS. June 4, 2015. June 4, 2015. This is a little example how to count words from incoming files that are stored in HDFS. Note that Spark streaming. Can read data from HDFS but also from Flume, Kafka, Twitter and ZeroMQ. For our example, the virtual machine (VM) from Cloudera was used ( CDH5.3. From the command line, let’s open the spark shell with. Many spark-with-scala examples are available on github (see here. Once you ha...

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Organize your data | Stat'Rgy

http://statrgy.com/organize-your-data

Your data analyst partner. January 7, 2014. October 16, 2014. Your IT architecture and the software solutions you use depend on the type of analysis. Stat’Rgy will help you out to build an efficient solution. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. When relational databases are not good enough. Spark streaming: simple example streaming data from HDFS. Best data processing engine: Flink vs Spark. On Scala vs Python. On Storm vs Spark.

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Best SQL-on-hadoop tool? | Stat'Rgy

http://statrgy.com/2015/05/20/best-sql-on-hadoop-tool

Your data analyst partner. May 20, 2015. May 20, 2015. SQL on Hadoop: Drill, Impala or Spark SQL. Since Drill, Impala and Spark SQL are all available in YARN and can all query Hive metastore tables, one may wonder which one to use. Let’s look at some of the features of each of those tools. Entered the Apache Incubator in August 2012 and was first released to the public in August 2013. Drill presents very interesting features:. It can work with data without having to define schema definitions upfront;.

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Best data processing engine: Flink vs Spark | Stat'Rgy

http://statrgy.com/2015/06/01/best-data-processing-engine-flink-vs-spark

Your data analyst partner. Best data processing engine: Flink vs Spark. June 1, 2015. June 1, 2015. Has been recently graduated top-level Apache Project. Flink started as a research project at the Technical University of Berlin in 2009. Was originally developed in the AMPLab at UC Berkeley in 2009 and became an Apache top-level project in February 2014. If Flink is less known than Spark, especially outside Europe, it is promising. Flink is claimed to process batch information just as efficiently as Spark.

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Storm vs Spark | Stat'Rgy

http://statrgy.com/2015/05/14/storm-vs-spark

Your data analyst partner. May 14, 2015. May 14, 2015. Real time data processing: Storm vs Spark. Real time data processing has been made possible with tools like Storm or Spark streaming (both top-level project from Apache). You may wonder which one to choose. There are several things you should consider:. Use what you know. Storm and Spark are not doing the same things:. Storm is a stream processing framework that also does micro-batching (Trident). Apache Storm is 2 streaming APIs:. One at a time,.

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About | Stat'Rgy

http://statrgy.com/about

Your data analyst partner. January 7, 2014. May 14, 2015. Stat’Rgy is a company based in Belgium and involved in Big Data and machine learning. April 30, 2015 at 3:33 pm. May 4, 2015 at 8:32 am. Thanks for the info. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. When relational databases are not good enough. Spark streaming: simple example streaming data from HDFS. Best data processing engine: Flink vs Spark. On Scala vs Python. On Storm vs Spark.

statrgy.com statrgy.com

Make your data rock | Stat'Rgy

http://statrgy.com/make-your-data-rock

Your data analyst partner. Make your data rock. January 9, 2014. January 9, 2014. Stat’Rgy has experience in several domains including biostatistics. Business intelligence, marketing. With a strong expertise in machine learning. Stat’Rgy can bring values to your data. Multiple tools are used at Stat’Rgy…. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. When relational databases are not good enough. Spark streaming: simple example streaming data from HDFS.

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Ellicium Solutions | Big Data | Data Science | Analytics | India | USA | Australia

Our Solutions Our Solutions. Ellicium’s Gadfly is a framework for analyzing unstructured data generated through Human interactions, extracting relevant information and presenting the intelligence. Ellicium's Gazelle is a framework for management and analytics of high velocity, streaming data. Legal Discovery using Artificial Intelligence saved $ 1 m. Legal Discovery using Artificial Intelligence saved $ 1 m This is a story about how Ellicium Gadfly platform, using. December 10, 2016. January 9, 2017.

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