Displaying all badges with the tag Big Data
IBM Streams can process massive volumes of data in motion to speed up business insight. This badge earner understands how to create streaming applications without writing code by using Streams Studio. The earner can build a Streams application that filters
This badge earner has demonstrated the ability to move data into Hadoop using Sqoop and Flume.
The badge earner demonstrates the ability to use programming concepts provided by the various technologies in the Hadoop ecosystem including, but not limited to MapReduce.
This badge earner has a fundamental understanding of Watson Analytics concepts and capabilities. These include uploading and refining data sets; discovering patterns, relationships, and predictive insights in the data; providing added value to the analysis
This badge earner has a basic understanding of Spark. The earner can describe Spark, articulate its benefits, and describe how it is used. The individual can also use Resilient Distributed Datasets (RDD) and DataFrames to perform in-memory computing and cre
This badge earner understands the big data ecosystem and hadoop commands and operations to work with big data. The earner also has foundational knowledge around Spark and its operations including RDDs, DataFrames, and the various libraries associated with t
The badge earner has demonstrated the ability to use text analytics to gain insight from data stored in HDFS.
This badge holder has a basic understanding of Big Data concepts and their applications to gain insight for providing better service to customers. The learner understands that Big Data should be processed in a platform that can handle the variety, velocity,
This badge earner has a basic understanding of Big Data concepts and their applications to gain insight for providing better service to customers. The earner understands that Big Data should be processed in a platform that can handle the variety, velocity,
This badge earner has a basic understanding of Hadoop. The earner can describe what Big Data is and the need for Hadoop to be able to process that data in a timely manner. The individual can describe the Hadoop architecture and how to work with the Hadoop D
Passing Exam 773: Analyzing Big Data with Microsoft R validates the skills and knowledge necessary to process and analyze data sets larger than memory using R.