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Solr is a standalone full-text search server that uses the Lucene Java

ABOUT THIS COURSE

Learn the basics of Solr (pronounced “solar”), an open source enterprise search platform, written in Java, from the Apache Lucene project.

Solr is a standalone full-text search server that uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it usable from most popular programming languages.

  • Learn about Solr’s major features, including full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features and rich document (e.g., Word, PDF) handling.
  • Learn how Solr is highly scalable and fault tolerant in providing distributed search and index replication.
  • Learn why Solr is the most popular enterprise search engine.
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July 29, 2016
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Taming Big Data with Apache Spark and Python

 

Course Description

“Big data” analysis is a hot and highly valuable skill – and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Windows system right at home. It’s easier than you might think.

 

 

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July 29, 2016
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Wiley-Jigsaw Big Data Specialist Course

This course is designed for IT or database professionals looking to build expertise in Big Data technologies, analytics professionals who want to broaden their skills in Big Data, and students aiming to build a career in Data Science.

Get the internationally acclaimed joint certification from Wiley and Jigsaw Academy.

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July 29, 2016
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Install a MapR Cluster

About this course

This on-demand course is designed to be flexible to fit your schedule. Each lesson and quiz takes approximately 30 to 45 minutes to complete.

The first course in the Cluster Administration curriculum. This course covers pre-installation testing and verification, installing a MapR cluster, verifying the installation, and performing post-installation benchmarking.

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July 28, 2016
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Spark Overview for Scala Analytics

ABOUT THIS COURSE

Learn the history of Apache Spark™, how it came to be, how to build applications with Spark, how establish an understanding of RDDs andDataFrames, and other advanced Spark topics.

  • Be prepared to leverage the core RDD and DataFrame APIs to perform analytics on datasets with Scala.
  • Get an overview of Spark and its associated ecosystem.
  • Gain enough skills to leverage the Map-Reduce framework with the Scala language.
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July 28, 2016
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Deep Learning 101

ABOUT THIS COURSE

Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today:

  • What is Deep Learning?
  • What are are convolutional neural networks?
  • Why is deep learning so powerful and what can it be used for?
  • Be part of a rapidly growing field in data science; there’s no better time than now to get started with neural networks.
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July 28, 2016
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Predictive Modeling Fundamentals

ABOUT THIS COURSE

Learn the crucial step in the Big Data Lifecycle: using big data to make decisions!

  • Possess the modeling skills needed by companies all over the world to go beyond storing big data to understanding big data
  • Learn how to use these skills to make decisions such as cancer detection, fraud detection, customer segmentation and predicting machine downtime.
  • Get introduced to the data mining process and modeling techniques using one of the most popular software, IBM’s SPSS Modeler.
  • Learn how to build models on trained data, test the model with historical data, and use qualifying models on live data or other historical untested data.
  • Save or earn companies millions of dollars with your decisions!
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July 28, 2016
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Data Science with Scala

ABOUT THIS COURSE

Put your Scala knowledge to good use by tackling Big Data analytics problems.

  • Learn to leverage the integration of Apache Spark™ and Scala.
  • Learn how use Spark’s machine learning pipelines to fit models and search for optimal hyperparameters using Scala in a Spark cluster.
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July 28, 2016
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