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    • Data Warehouse

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    140 results for "data warehouse"

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      IBM Skills Network

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Management, Databases, SQL, Database Theory, Data Engineering, Database Administration, Data Warehousing, Data Architecture, Extract, Transform, Load, Data Model, Database Application, Operating Systems, System Programming, System Software, Data Structures, Database Design, PostgreSQL, Apache, Big Data, Statistical Programming, Data Visualization, Data Visualization Software, Data Analysis, Data Science, Leadership and Management, Network Security, Professional Development, Security Engineering, Accounting, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Networking, Computer Programming, DevOps, Distributed Computing Architecture, Hardware Design, Interactive Data Visualization, Linux, Microarchitecture, NoSQL, Programming Principles, Project Management, Python Programming, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (19.1k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Meta

      Advanced Data Modeling

      Skills you'll gain: Data Model, Data Warehousing

      4.5

      (6 reviews)

      Intermediate · Course · 1-4 Weeks

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      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: SQL, Databases, Data Management, Statistical Programming, Data Model, Database Design, Leadership and Management, Communication, Data Warehousing, Business Analysis, Business Intelligence, Database Administration, Data Science, Extract, Transform, Load, Basic Descriptive Statistics, Big Data, Data Architecture, Data Analysis, Data Structures, PostgreSQL, Theoretical Computer Science, Accounting, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Data Visualization Software, Decision Making, Entrepreneurship, Interactive Data Visualization, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Programming Principles, Scientific Visualization, Spreadsheet Software

      4.5

      (3.8k reviews)

      Advanced · Specialization · 3-6 Months

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      IBM Skills Network

      BI Foundations with SQL, ETL and Data Warehousing

      Skills you'll gain: Data Management, Data Warehousing, SQL, Databases, Extract, Transform, Load, Operating Systems, System Programming, System Software, Database Theory, Data Architecture, Apache, Big Data, Database Application, Statistical Programming, Data Visualization, Data Visualization Software, Data Science, Data Structures, Database Administration, Accounting, Business Analysis, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Programming, Interactive Data Visualization, Linux, Microarchitecture, Programming Principles, Python Programming, Software Architecture, Software Engineering, Theoretical Computer Science

      4.6

      (17.6k reviews)

      Beginner · Specialization · 3-6 Months

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      University of California, Davis

      Learn SQL Basics for Data Science

      Skills you'll gain: SQL, Data Management, Statistical Programming, Apache, Big Data, Databases, Data Analysis, Data Analysis Software, Extract, Transform, Load, Data Warehousing, Machine Learning, Basic Descriptive Statistics, Computer Programming, Data Science, Exploratory Data Analysis, General Statistics, Leadership and Management, Probability & Statistics, Python Programming, Statistical Analysis

      4.6

      (15.2k reviews)

      Beginner · Specialization · 3-6 Months

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      Microsoft

      Modern Data Warehouse Analytics in Microsoft Azure

      Skills you'll gain: Cloud Computing, Data Management, Big Data, Data Analysis, Data Visualization, Data Warehousing, Microsoft Azure, Power BI

      4.4

      (49 reviews)

      Beginner · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Data Engineering

      Skills you'll gain: Data Engineering, Data Management, Extract, Transform, Load, Databases, Apache, Big Data, Data Analysis, Data Architecture, Data Warehousing, Leadership and Management, Network Security, Professional Development, SQL, Security Engineering, Computer Architecture, Computer Networking, Data Science, Database Administration, Distributed Computing Architecture, NoSQL, Project Management, Security Strategy, Statistical Programming, Strategy and Operations

      4.8

      (1.5k reviews)

      Beginner · Course · 1-4 Weeks

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      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Management, Data Science, Data Model, Data Warehousing, SQL, Basic Descriptive Statistics, Big Data, Data Architecture, Databases, Extract, Transform, Load, Business Analysis, Business Intelligence, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Visualization, Database Design, Mathematical Theory & Analysis, Mathematics, Programming Principles, Spreadsheet Software, Theoretical Computer Science

      4.4

      (1k reviews)

      Mixed · Course · 1-3 Months

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      University of California, Irvine

      Data Warehousing and Business Intelligence

      Skills you'll gain: Data Analysis, Data Management, Data Mining, Data Warehousing, Databases, Data Model, Database Administration, Database Application, Extract, Transform, Load, NoSQL, Probability & Statistics, Regression, Basic Descriptive Statistics, Business Intelligence, Communication, Marketing, Statistical Analysis

      4.5

      (65 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Colorado System

      Database Management Essentials

      Skills you'll gain: Communication, Data Management, Data Model, Database Design, Databases, Leadership and Management, SQL, Statistical Programming, Database Administration, Data Structures, Theoretical Computer Science, Data Warehousing

      4.6

      (3.1k reviews)

      Intermediate · Course · 1-3 Months

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      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Management, Big Data, Data Science, SQL, Cloud Computing, Information Technology, Cloud Storage, Data Warehousing, Google Cloud Platform, Computer Architecture, Distributed Computing Architecture, Full-Stack Web Development, Web Development

      4.7

      (2.7k reviews)

      Intermediate · Course · 1-3 Months

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      Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Database Administration, SQL

      Beginner · Project · Less Than 2 Hours

    Searches related to data warehouse

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    In summary, here are 10 of our most popular data warehouse courses

    • IBM Data Warehouse Engineer: IBM Skills Network
    • Advanced Data Modeling: Meta
    • Data Warehousing for Business Intelligence: University of Colorado System
    • BI Foundations with SQL, ETL and Data Warehousing: IBM Skills Network
    • Learn SQL Basics for Data Science: University of California, Davis
    • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
    • Introduction to Data Engineering: IBM Skills Network
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Data Warehousing and Business Intelligence: University of California, Irvine
    • Database Management Essentials: University of Colorado System

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Data Warehouse

    • A data warehouse is an organized collection of structured data that is used for applications such as reporting, analytics, or business intelligence. Traditional, on-premise data warehouses are still maintained by hospitals, universities, and large corporations, but these are expensive and space-consuming by today’s standards. Instead, data warehouse solutions like Google BigQuery and Amazon Redshift are allowing organizations of all sizes to benefit from the scalability and cost-effectiveness of cloud computing.

      Data warehouses are important to learn about because they enable organizations to make data-driven decisions that can inform daily operations as well as future strategic initiatives. Analysts can use the data integration and extraction, transformation, loading (ETL) capabilities of business intelligence software like Pentaho to query and present information visually for maximum impact.

      Working with diverse big data sets may require the use of a data lake, which is similar to a data warehouse but can take in all types of data - structured, unstructured, and raw. With software like Apache Hive, data scientists can sort and analyze data delivered by data lake solutions like Amazon S3 and Microsoft Azure to generate the real-time and predictive insights big data can provide.‎

    • An organization’s data warehouse is one of its most valuable assets, and it is important for personnel across a wide variety of departments to understand how to access it and how to leverage its data effectively. For example, quantitative financial analysts may use data warehouses to feed machine learning algorithms for stock trading; digital marketing experts rely on detailed datasets on consumer buying behavior; and supply chain managers analyze operational data to guide process improvements.

      Data engineers are the primary personnel responsible for the design and maintenance of the data infrastructure of an organization, including not only data warehouses but data pipelines, data lakes, and databases. They must be familiar with programming languages and frameworks like Python, SQL, and Java, and usually have at least a bachelor’s degree or even a master’s degree in computer engineering or computer science. The national average salary for a data engineer according to Glassdoor is $103,864 per year.‎

    • Yes - in fact, data science topics like data warehousing are some of the most popular online learning opportunities on Coursera. There are a wide variety of online courses and Specializations available on data warehousing, as well as related courses on data engineering, database management, and business intelligence. And you can take courses from top-ranked institutions and industry leaders, including the University of Colorado, the University of California Davis, and Google Cloud, so you don’t have to sacrifice the quality of your education for the opportunity to learn online.‎

    • Before starting to learn about data warehouse concepts, it’s extremely important to already have strong computer programming skills, a data architecture background, and insights in working with teams of developers, systems architects, and other high-level developers. Designers of data warehouses tend to have computer science degrees and fundamental knowledge of data integration processes. These skills are crucial to working in this field, as businesses rely heavily on data and analytics to stay competitive. Data moves from transaction systems and company databases into warehouses. This data is then extracted into company reports, dashboards, and analytics tools to help guide their decision-making. Having strong experience in data architectures and company operations will be a well-guided step to learning the business of data warehouse.‎

    • Clearly, business analysts, data engineers, and data scientists are all best suited for work that involves data warehousing. Computer programmers are often at the foundation in a data warehouse, using their programming skills and analytical thinking to extract the data. Once extracted, results are usually presented in the top tier via a front-end client through reporting, analysis, and data mining tools. An analytics engine exists in the middle tier to access and analyze the data. And finally, data is loaded and stored in the database server, in the bottom tier of the architecture. These data professionals working in a data warehouse can then present their findings to senior company leaders through reports, charts, and spreadsheets, to help them make important decisions.‎

    • Learning about data warehouse work might be a great fit for you if you are organized, have a computer software design background, and may even be already working in a data engineer type role or aspiring to work somehow with big data and cloud serving technology. These aspects are all crucial to data warehouse work, which is focused on extracting data from real-world transactional behavior. For instance, a data warehouse may combine customer information from a company's POS system, its email lists, and its physical mailing lists into one large database. If you are the sort of person who is passionate about learning about business intelligence tools and how a data warehouse can coordinate this data for you, then learning data warehouse information may certainly be a great path ahead.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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