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admin
Statistics with SPSS Predictive Analytics Software Training Course
Overview Goal: Learning to work with SPSS at the level of independence The addressees: Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques. Requirements Motivation to learn Course Outline Using the program The dialog boxes input / downloading data the concept […]
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admin
Introduction to Graph Computing Training Course
Overview Many real world problems can be described in terms of graphs. For example, the Web graph, the social network graph, the train network graph and the language graph. These graphs tend to be extremely large; processing them requires a specialized set of tools and processes — these tools and processes can be referred to […]
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admin
Apache Spark MLlib Training Course
Overview MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs. It divides into two packages: spark.mllib contains the original API […]
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Hadoop and Spark for Administrators Training Course
Overview Apache Hadoop is a popular data processing framework for processing large data sets across many computers. This instructor-led, live training (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy and manage Hadoop clusters within their organization. By the end of this training, participants will be able […]
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admin
Apache Spark for .NET Developers Training Course
Overview Apache Spark is a distributed processing engine for analyzing very large data sets. It can process data in batches and real-time, as well as carry out machine learning, ad-hoc queries, and graph processing. .NET for Apache Spark is a free, open-source, and cross-platform big data analytics framework that supports applications written in C# or […]
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admin
SMACK Stack for Data Science Training Course
Overview SMACK is a collection of data platform softwares, namely Apache Spark, Apache Mesos, Apache Akka, Apache Cassandra, and Apache Kafka. Using the SMACK stack, users can create and scale data processing platforms. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data […]
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admin
Apache Spark Streaming with Scala Training Course
Overview Scala is a condensed version of Java for large scale functional and object-oriented programming. Apache Spark Streaming is an extended component of the Spark API for processing big data sets as real-time streams. Together, Spark Streaming and Scala enable the streaming of big data. This instructor-led, live training (online or onsite) is aimed at software engineers […]
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admin
Apache Spark in the Cloud Training Course
Overview Apache Spark’s learning curve is slowly increasing at the begining, it needs a lot of effort to get the first return. This course aims to jump through the first tough part. After taking this course the participants will understand the basics of Apache Spark , they will clearly differentiate RDD from DataFrame, they will learn Python and […]
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admin
Big Data Analytics in Health Training Course
Overview Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights. The health industry has massive amounts of complex heterogeneous medical and clinical data. Applying big data analytics on health data presents huge potential in deriving insights for improving delivery […]
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admin
A Practical Introduction to Stream Processing Training Course
Overview Stream Processing refers to the real-time processing of “data in motion”, that is, performing computations on data as it is being received. Such data is read as continuous streams from data sources such as sensor events, website user activity, financial trades, credit card swipes, click streams, etc. Stream Processing frameworks are able to read […]
