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[DOC File]Health Services Research & Development
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For example, civil legal issues can impede access to housing, to employment services, so having a revoked license, you can't drive to the hospital, you can't drive to a job interview. Having unpaid child support taxes can cause additional stress, financial strain.
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[DOCX File]Abstract .edu
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The component we developed takes a line delimited list of URLs in a text file as input and reads them as a Spark Resilient Distributed Dataset. The HTML content is then fetched in parallel. While ideally the Spark application would read URLs directly from our class HBase table, bugs in the Spark methods to handle HBase reading as well as time ...
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[DOC File]Notes on Apache Spark 2 - The Risberg Family
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The main abstraction Spark provides is a resilient distributed dataset (RDD), which is a collection of elements partitioned across the nodes of the cluster that can be operated on in parallel. RDDs are created by starting with a file in the Hadoop file system (or any other Hadoop-supported file system), or an existing Scala collection in the ...
spark dataset api

[DOC File]Proceedings Template - WORD
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Spark SQL gives the ability to run SQL queries over any Spark collection, so there’s no additional tool or query framework required like Hive / Pig when it comes to Hadoop MapReduce. SQL queries on Cassandra tables, or log data, or text files–like Hive without needing an extra component.
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[DOCX File]Collaborative Filtering
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Collaborative Filtering - spark.mllib. We made use of the spark.mllib collaborative filtering package to compute the mapping of documents and users to factor vectors, which implemented the ALS (Alternating least squares) learning algorithm.
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[DOC File]www.itecgoi.in
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Understanding spark environment with spark shell and user interface. RDD. Spark SQL. Overview. Uses. Spark SQL in dataframe and dataset. Spark SQL data description language. Spark SQL data manipulation language. Hands-on session- Spark SQL and functions 3 hours 45 mins (1 hour 15 mins /day) 7. Spark DataFrame. Spark dataframe and dataframe ...
spark sql example

[DOCX File]INTRODUCTION - NIST
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There is broad agreement among commercial, academic, and government leaders about the remarkable potential of Big Data to spark innovation, fuel commerce, and drive progress. Big Data is the common term used to describe the deluge of data in today’s networked, …
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[DOCX File]Ignite-ML (A Distributed Machine Learning Library for ...
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Meaning, a dataset has already been used to train a supervised learning algorithm, and as data is being transacted, classification is performed live prior to storage. Comparing Apache Ignite and Apache Spark is a bit like comparing an apple and a bag of apples.
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[DOCX File]Introduction - Indiana University Bloomington
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As a result, model composition becomes a trend in the current design of big data tools. For example, Spark’s RDD data abstraction and the transformation operations on RDDs are very similar to MapReduce model. But it organizes computation tasks as DAGs. Stratosphere [22] and REEF [23] also try to include several different models in one framework.
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Spark dataset example