Talend Open Studio for Data Integration是一款開源數據集成産品，用于整合，轉換和更新企業各個位置的數據。 在這個有指導意義的現場培訓中，參與者將學習如何使用Talend ETL工具進行數據轉換，數據提取以及與Hadoop，Hive和Pig的連接。 通過這次培訓的結束，參與者將能夠解釋ETL（提取，轉換，加載）和傳播背後的概念定義ETL方法和ETL工具以與Hadoop連接根據業務需求高效地積累，檢索，消化，消費，轉換和塑造大數據上傳並從Hadoop（可選），Hive（可選）和NoSQL數據庫提取大型記錄 聽衆 商業情報專家項目經理數據庫專家 SQL開發人員 ETL開發人員解決方案架構師數據架構師數據倉庫專業人員系統管理員和集成商 課程的格式 部分講座，部分討論，練習和沈重的練習 注意 要請求本課程的定制培訓，請聯系我們安排。
This instructor-led, live training (onsite or remote) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset.
By the end of this training, participants will be able to:
- Install and configure Apache Superset. - Combine data from different databases. - Visualize large datasets. - Create and share complex dashboards.
Format of the Course
- Interactive lecture and discussion. - Lots of exercises and practice. - Hands-on implementation in a live-lab environment.
Course Customization Options
- This training is based on the latest version of Apache Superset. - To request a customized training for this course, please contact us to arrange. - To learn more about Apache Superset, please visit: https://superset.incubator.apache.org
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- Install and configure SSAS - Understand the relationship between SSAS, SSIS, and SSRS - Apply multidimensional data modeling to extract business insights from data - Design OLAP (Online Analytical Processing) cubes - Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language - Deploy real-world BI solutions using SSAS
Audience
- BI (Business Intelligence) professionals - Data Analysts - Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion - Lots of exercises and practice - Hands-on implementation in a live-lab environment
Course Customization Options
- This training is based on the latest version of Microsoft SQL Server and SSAS. - To request a customized training for this course, please contact us to arrange.
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective - How Big Data analytic differs from legacy data analytic - In-house justification of Big Data -Telco perspective - Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem - How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach - Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco - Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies - Network failure and service failure analytics from Network meta-data and IPDR - Financial analysis-fraud, wastage and ROI estimation from sales and operational data - Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data - Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space - Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office. - Business Analysts in Telco - CFO office managers/analysts - Operational managers - QA managers
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI - Power BI Desktop - Working with CSV, TXT, and Excel Worksheets - Connecting to Databases - Merging, Grouping, Summarizing, and Calculating Data - Reporting - Power BI Online
Learn how to Get & Transform Data to Prepare Interactive Dashboards
Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports.
Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc
MicroStrategy is a business intelligence (BI) and visualization tool for analyzing big data. MicroStrategy is used by companies such as Netflix, eBay, and Adobe.
In this instructor-led, live training, participants will learn how to use MicroStrategy to access various data sources, then generate reports and dashboards for analysis.
By the end of this training, participants will be able to:
- Install and configure MicroStrategy - Use MicroStrategy to perform predictive analytics on large data sets - Access and analyze data from data warehouses, Excel files, and Apache Hadoop - Create elaborate reports and dashboards
Audience
- Business Intelligence Professionals - Data Analysts - ETL Developers - Big Data Professionals
Format of the Course
- Interactive lecture and discussion - Lots of exercises and practice - Hands-on implementation in a live-lab environment
Note
- To request a customized training for this course, please contact us to arrange.
商業智能,培訓,課程,培訓課程, 企業商業智能培訓, 短期商業智能培訓, 商業智能課程, 商業智能周末培訓, 商業智能晚上培訓, 商業智能訓練, 學習商業智能, 商業智能老師, 學商業智能班, 商業智能遠程教育, 一對一商業智能課程, 小組商業智能課程, 商業智能培訓師, 商業智能輔導班, 商業智能教程, 商業智能私教, 商業智能輔導, 商業智能講師 Business Intelligence,培訓,課程,培訓課程, 企業Business Intelligence培訓, 短期Business Intelligence培訓, Business Intelligence課程, Business Intelligence周末培訓, Business Intelligence晚上培訓, Business Intelligence訓練, 學習Business Intelligence, Business Intelligence老師, 學Business Intelligence班, Business Intelligence遠程教育, 一對一Business Intelligence課程, 小組Business Intelligence課程, Business Intelligence培訓師, Business Intelligence輔導班, Business Intelligence教程, Business Intelligence私教, Business Intelligence輔導, Business Intelligence講師
.jpg "european space agency (esa)")
_ireland.gif "environmental protection agency (epa) ireland")
.gif "european organization for nuclear research (cern)")
