Learn All Big Data Analytics Tutorial Offline 2020

Lernen Sie 50 Big Data und Analytics Tutorial Offline 2020 als R-Programm, Excel-Diagramme

Learn Advanced Excel Charts

Excel charts are an efficient means to visualize the data to convey the results in 2020.

Learn Advanced Excel Functions

This Microsoft Excel tutorial teaches you how to create and use Excel functions. You can use Excel functions to perform various mathematical, statistical, logical calculations by 2020.

Learn Apache Flume

Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (webservers) into Hadoop. In this tutorial,

Learn Apache Kafka

Apache Kafka was originated at LinkedIn and later became an open sourced Apache project in 2011, then First-class Apache project in 2012.

Apache Pig is an abstraction over MapReduce. It is a tool/platform which is used to analyze larger sets of data representing them as data flows

Learn Apache Solr

Solr is a scalable, ready to deploy, search/storage engine optimized to search large volumes of text-centric data 2020.

Learn Apache Spark

Apache Spark is a lightning-fast cluster computing designed for fast computation.

Learn Apache Storm

Storm was originally created by Nathan Marz and team at BackType. BackType is a social analytics company.

Learn Apache Tajo

Apache Tajo is an open-source distributed data warehouse framework for Hadoop.

Learn Avro

Apache Avro is a language-neutral data serialization system, developed by Doug Cutting, the father of Hadoop.

Learn AWS Quicksight

AWS Quicksight is an AWS based Business Intelligence and visualization tool

Learn Big Data Analytics

The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles.

Learn Excel Dax

DAX (Data Analysis Expressions) is a formula language that helps you create new information from the data that already exists in your Data Model

Learn Excel Data Analysis

Data Analysis with Excel is a comprehensive tutorial that provides a good insight into the latest and advanced features available in Microsoft Excel.

Learn Excel Pivot Tables

PivotTable is an extremely powerful tool that you can use to slice and dice data.

Learn Excel Macros

An Excel macro is an action or a set of actions that you can record, give a name, save and run as many times as you want and whenever you want.

Learn Excel Power Pivot

Excel Power Pivot is an efficient, powerful tool that comes with Excel as an Add-in.

Learn Excel Power View

Power View enables interactive data exploration, visualization, and presentation that encourages intuitive ad-hoc reporting.

Learn Google Charts

Google Charts is a pure JavaScript based charting library meant to enhance web applications by adding interactive charting capability.

Learn Hadoop

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.

Learn Power BI

Power BI is a Data Visualization and Business Intelligence tool that converts data from different data sources to interactive dashboards and BI reports.

Learn QlikView

QlikView is a leading Business Discovery Platform.

Learn R Programming

R is a programming language and software environment for statistical analysis, graphics representation and reporting.

Learn SAS

SAS is a leader in business analytics. Through innovative analytics it caters to business intelligence and data management software and services.

Learn Spark SQL

Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop.

Learn Statistics

This Statistics preparation material will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable