statrgy.com
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 Your email address will not be published.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.
blog.cloudera.com
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 Your email address will not be published.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.
statrgy.com
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...
statrgy.com
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.
statrgy.com
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;.
statrgy.com
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.
statrgy.com
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,.
statrgy.com
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
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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