Cursos de Inteligencia Empresarial

Inteligencia Empresarial Training

Capacitación en Inteligencia Empresarial, Inteligencia de Negocios o BI (Business Intelligence).

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Power BI

Offering a more in-depth scope about Power BI more than any training institute that i came across to.

Mohammed Al Ameer - BMMI

Power BI

Exercises, additional tips from the trainer, flexibility to add more insights when requested

Anna Alechno - British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

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Programas de los Cursos de Inteligencia Empresarial

Código Nombre Duración Información General
fsharpfordatascience F# for Data Science 21 horas Data science is the application of statistical analysis, machine learning, data visualization and programming for the purpose of understanding and interpreting real-world data. F# is a well suited programming language for data science as it combines efficient execution, REPL-scripting, powerful libraries and scalable data integration. In this instructor-led, live training, participants will learn how to use F# to solve a series of real-world data science problems. By the end of this training, participants will be able to: Use F#'s integrated data science packages Use F# to interoperate with other languages and platforms, including Excel, R, Matlab, and Python Use the Deedle package to solve time series problems Carry out advanced analysis with minimal lines of production-quality code Understand how functional programming is a natural fit for scientific and big data computations Access and visualize data with F# Apply F# for machine learning Explore solutions for problems in domains such as business intelligence and social gaming Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.
powerbi Power BI 14 horas Arquitectura Power BI Fuentes de datos Fuentes de datos locales y en línea Transformaciones de datos + lenguaje M Conexiones directas a las fuentes seleccionadas (SQL Server, OLAP Modelado Relación entre tablas (filtrado de datos único y multidireccional) DAX - plantillas y mejores prácticas Introducción a DAX Funciones más comúnmente utilizadas y contexto de cálculos Trabajar con la dimensión de tiempo (incluidos los períodos fiscales, los períodos de comparación, YTD) Hierarchie padre e hijo Filtrar datos relativos a la jerarquía Plantillas populares de DAX Visualizaciones Análisis interactivo de datos Seleccione la visualización apropiada Filtros, agrupamiento, exclusiones Visualización en mapas Visualizaciones usando el lenguaje R Mejoras de visualización (los llamados visuales personalizados) Administración de acceso a datos: seguridad a nivel de fila Trabajo en equipo y móvil con Power BI Paneles e informes Q & A mecanismo Áreas de trabajo Aplicaciones móviles  
powerbifordev Power BI for Developers 28 horas Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. In this instructor-led, live training, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms. By the end of this training, participants will be able to: Configure real-time dashboards Create custom visualizations Integrate rich analytics into existing applications Embed interactive reports and visuals into existing applications Access data from within an application Master Power BI Portal, Desktop, Embedded and Rest API Integrate R Scripts into Power BI Desktop Audience Developers Architects ISVs Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Introduction The data workflow: data source, ETL (Extract, Transform, Load), data warehousing and data analysis Overview of Power BI Desktop Power BI Developer Tools Programming with TypeScript and d3.js Developing and Distributing Custom Visuals Developing R Scripts using RStudio Integrating R Scripts into Power BI Desktop Developing Custom R Visuals Developing with the Power BI REST API Updating the Power BI Dashboard in real-time Embedding Dashboard and Reports into an Application with Power BI Embedded Closing remarks
3119 Business Intelligence in MS SQL Server 2008 14 horas Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008. Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008. Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS. The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line. The participant will acquire knowledge of scripting XML / A and MDX. basis, objectives and application of data warehouse, data warehouse server types base building ETL processes in SSIS basic design data cubes in an Analysis Services: measure group measure dimensions, hierarchies, attributes, development of the project data cubes: measures calculated, partitions, perspectives, translations, actions, KPIs, Build and deploy, processing a partition the base XML / A: Partitioning, processes and overall Incremental, delete partitions, processes of aggregation, base MDX language
powerbiforbiandanalytics Power BI for Business Analysts 21 horas Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices. In this instructor-led, live training, participants will learn how to use Microsoft Power Bi to analyze and visualize data using a series of sample data sets. By the end of this training, participants will be able to: Create visually compelling dashboards that provide valuable insights into data Obtain and integrate data from multiple data sources Build and share visualizations with team members Adjust data with Power BI Desktop Audience Business managers Business analystss Data analysts Business Intelligence (BI) and Data Warehouse (DW) teams Report developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice   Introduction Data Visualization Authoring in Power BI Desktop Creating reports Interacting with reports Uploading reports it to the Power BI Service Revising report layouts Publishing to PowerBI.com Sharing and collaborating with team members Data Modeling Aquiring data Modeling data Security Working with DAX Refreshing the source data Securing data Advanced querying and data modeling Data modeling principals Complex DAX patterns Power BI tips and tricks Closing remarks
68780 Apache Spark 14 horas Why Spark? Problems with Traditional Large-Scale Systems Introducing Spark Spark Basics What is Apache Spark? Using the Spark Shell Resilient Distributed Datasets (RDDs) Functional Programming with Spark Working with RDDs RDD Operations Key-Value Pair RDDs MapReduce and Pair RDD Operations The Hadoop Distributed File System Why HDFS? HDFS Architecture Using HDFS Running Spark on a Cluster Overview A Spark Standalone Cluster The Spark Standalone Web UI Parallel Programming with Spark RDD Partitions and HDFS Data Locality Working With Partitions Executing Parallel Operations Caching and Persistence RDD Lineage Caching Overview Distributed Persistence Writing Spark Applications Spark Applications vs. Spark Shell Creating the SparkContext Configuring Spark Properties Building and Running a Spark Application Logging Spark, Hadoop, and the Enterprise Data Center Overview Spark and the Hadoop Ecosystem Spark and MapReduce Spark Streaming Spark Streaming Overview Example: Streaming Word Count Other Streaming Operations Sliding Window Operations Developing Spark Streaming Applications Common Spark Algorithms Iterative Algorithms Graph Analysis Machine Learning Improving Spark Performance Shared Variables: Broadcast Variables Shared Variables: Accumulators Common Performance Issues
mdlmrah Model MapReduce y Apache Hadoop 14 horas El curso está destinado al especialista en TI que trabaja con el procesamiento distribuido de grandes conjuntos de datos a través de grupos de computadoras. Minería de Datos e Inteligencia de Negocios Introducción Area de aplicación Capacidades Fundamentos de la exploración de datos Grandes Datos Qué significa Big Data? Grandes datos y minería de datos Mapa reducido Aspectos básicos del modelo Ejemplo de aplicación Estadísticas Modelo de cluster Hadoop Qué es Hadoop? Instalación Configuración Configuración del clúster Arquitectura y configuración de Hadoop Distributed File System Herramientas de consola Herramienta DistCp MapReduce y Hadoop Transmisión Administración y configuración de Hadoop On Demand Alternativas
JasperSoftBI JasperSoft BI 14 horas JasperReports is an open-source reporting library that can be embedded into any Java application. JasperReports Server is a Java EE web application with advanced reporting capabilities, including scheduling and permissions. In this instructor-led, live training, participants will learn to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets. By the end of this training, participants will be able to: Set up and configure a JasperSoft ETL project Design and run an ETL job Use iReport to generate charts, images, sub-reports, and cross tabs Audience BI analysts ETL developers Database professionals Format of the course Part lecture, part discussion, exercises and heavy hands-on practice   To request a customized course outline for this training, please contact us.  
TalendDI Talend Open Studio for Data Integration 28 horas Talend Open Studio for Data Integration is an open-source data integration product used to combine, convert and update data in various locations across a business. In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.   By the end of this training, participants will be able to Explain the concepts behind ETL (Extract, Transform, Load) and propagation Define ETL methods and ETL tools to connect with Hadoop Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements Audience Business intelligence professionals Project managers Database professionals SQL Developers ETL Developers Solution architects Data architects Data warehousing professionals System administrators and integrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.  
PentahoDI Pentaho Data Integration Fundamentals 21 horas Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations. In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle, maximizing the value of data to the organization. By the end of this training, participants will be able to: Create, preview, and run basic data transformations containing steps and hops Configure and secure the Pentaho Enterprise Repository Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format. Provide results to third-part applications for further processing Audience Data Analyst ETL developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.
magellan Magellan: Geospatial Analytics with on Spark 14 horas Magellan is an open-source distributed execution engine for geospatial analytics on big data. Implemented on top of Apache Spark, it extends Spark SQL and provides a relational abstraction for geospatial analytics. This instructor-led, live training introduces the concepts and approaches for implementing geospacial analytics and walks participants through the creation of a predictive analysis application using Magellan on Spark. By the end of this training, participants will be able to: Efficiently query, parse and join geospatial datasets at scale Implement geospatial data in business intelligence and predictive analytics applications Use spatial context to extend the capabilities of mobile devices, sensors, logs, and wearables Audience Application developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.  
zeppelin Zeppelin for interactive data analytics 14 horas Apache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data. This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment. By the end of this training, participants will be able to: Install and configure Zeppelin Develop, organize, execute and share data in a browser-based interface Visualize results without referring to the command line or cluster details Execute and collaborate on long workflows Work with any of a number of plug-in language/data-processing-backends, such as Scala ( with Apache Spark ), Python ( with Apache Spark ), Spark SQL, JDBC, Markdown and Shell. Integrate Zeppelin with Spark, Flink and Map Reduce Secure multi-user instances of Zeppelin with Apache Shiro Audience Data engineers Data analysts Data scientists Software developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.  
dashbuilderforengineers Dashbuilder for engineers 7 horas Dashbuilder is an open-source web application for visually creating business dashboards and reports. In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder. By the end of this training, participants will be able to: Extract data from heterogeneous sources such as JDBC databases and text files Use connectors to connect to third-party systems and platforms such as jBPM     Configure roles, permissions and access controls for users Deploy Dashbuilder to a live production environment Audience Developers IT and system architects Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.  
dashbuilder Dashbuilder for business users 14 horas Dashbuilder is an open-source web application for visually creating business dashboards and reports. In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder. By the end of this training, participants will be able to: Visual configure and personalize dashboards using drag-and-drop Create different types of visualizations using charting libraries Define interactive report tables Create and edit inline KPIs (Key Performance Indicators) Customize the look and feel of metric displayers Audience Managers Analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.  
kibana Kibana: Essentials 14 horas This training introduces Kibana to the users of Elastic Search. Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. Setting up Prerequisites Elasticsearch: Introduction  Elasticsearch: Installation and Configuration elasticdump Brief Introduction to Kibana Nested Objects - Limitation to Kibana Setting up Kibana Kibana: Install and Configure Configuring Elasticsearch and connecting Kibana Dynamic Mapping Limitations Tribe Nodes Using Kibana Indices and Filters Discover Interface Time Filter Toolbar and Searchbar Field Lists Document Data and Context - Add/View/Edit/Delete Visualization Interface Aggregations Bucket Aggregations - Date Histogram, Date Range, Range, Histogram, Terms and Filters Metric Aggregations - Count, Sum, Average, Min, Max, Percentile, Percentile Ranks and Unique Create Visualization Chart, Line, Area Data Table Metrics Other Visualization Types Dashboard Interface: Building, Merging, Loading and Sharing Graph: Configure, Troubleshoot and Limitations Kibana: Dev Console Overview Shortcuts: Brief Settings and Configuring Kibana in Production SSL encryption Load Balancing using Elasticsearch Nodes Management Managing Fields and Formatters Saved Searches, Visualizationad and Dashboards Apache/nginx proxy for security Plugins Install/Update/Disable/Remove Plugins Plugins Manager  
datameer Datameer for Data Analysts 14 horas Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion. In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources. By the end of this training, participants will be able to: Create, curate, and interactively explore an enterprise data lake Access business intelligence data warehouses, transactional databases and other analytic stores Use a spreadsheet user-interface to design end-to-end data processing pipelines Access pre-built functions to explore complex data relationships Use drag-and-drop wizards to visualize data and create dashboards Use tables, charts, graphs, and maps to analyze query results Audience Data analysts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.
deckgl deck.gl: Visualizing Large-scale Geospatial Data 14 horas deck.gl is an open-source, WebGL-powered library for exploring and visualizing data assets at scale. Created by Uber, it is especially useful for gaining insights from geospatial data sources, such as data on maps. This instructor-led, live training introduces the concepts and functionality behind deck.gl and walks participants through the set up of a demonstration project. By the end of this training, participants will be able to: Take data from very large collections and turn it into compelling visual representations Visualize data collected from transportation and journey-related use cases, such as pick-up and drop-off experiences, network traffic, etc. Apply layering techniques to geospatial data to depict changes in data over time Integrate deck.gl with React (for Reactive programming) and Mapbox GL (for visualizations on Mapbox based maps). Understand and explore other use cases for deck.gl, including visualizing points collected from a 3D indoor scan, visualizing machine learning models in order to optimize their algorithms, etc. Audience Developers Data scientists Format of the course Part lecture, part discussion, exercises and heavy hands-on practice To request a customized course outline for this training, please contact us.

Próximos Cursos

CursoFechaPrecio del Curso [A distancia / Presencial]
Model MapReduce and Apache Hadoop - Madrid, Chamartín business areaMié, 2018-01-03 09:302760EUR / 3660EUR

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