배울 내용 ; Manage an Analytics project · Manage an ETL team · Present Analytics topics to your clients · Talk intelligently about Data Warehousing and Business Intelligence · Talk intelligently about how Data Warehousing and Big Data fit together · Nod knowledgably when some smarty pants starts to show off about Data Lakes to you · Learn about a few common modern Analytics patterns · Understand at a high level the process an Engineering Team goes through to build an Analytics ...
Learn the basics, tools, projects, collaboration, and learning strategies to develop your data warehousing skills and support business intelligence.
This post enlightens the peculiarities of data warehouses in business intelligence, their use, and how to enhance business analytics with such tools
Data Visualization, Data Warehousing, Data Management, Business Analysis Intelligence, Data Architecture, Data Modeling
Ntiva provides data warehousing and business intelligence services to help you analyze your data and draw out meaningful insights.
1 Business Intelligence and Analytics: Systems for Decision Support Global Edition (10 th Edition) Chapter 3: Data Warehousing 2 © Pearson Education Limited 2014 3-2 Learning Objectives...
Learn how to set effective goals to improve productivity and manage time in data warehousing for better business intelligence outcomes.
Learn how to use data engineering skills and technologies to improve data quality, performance, and usability for data analysis and business intelligence.
Figure 1 – Data warehousing and business intelligence integrated with VMware Cloud on AWS. Workflow Walkthrough With the high-level overview laid out above, let’s go ahead and dive a...
Learn ETL, Data Analysis and Visualization using Microsoft Excel, Microsoft Business Intelligence tools and Power BI