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If you are a data analyst or developer who uses Power BI to work with data, this is a very useful certification to have on your resume. It can help you get the recognition you deserve and help your organization. In this post in our series on discovering your career path with Microsoft Power Platform certifications, we explore the benefits of earning a Microsoft Certification: Power BI Data Analyst Associate Certification (Pass Exam PL-300). This certification provides the skills needed to help businesses maximize the value of their data assets using Power BI.
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Use this Microsoft Certification to shine a light on the data analysis skills you’ve worked so hard to master – whether you’re just starting out, looking to advance your career, or want to land a new, in-demand role fill in We’ll also suggest other certifications you can earn, depending on your career path.
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If you’re hoping that certification will help you advance your career, you’re not alone. In fact, 21 percent of respondents in a Nigel Frank Microsoft Dynamics Salary Survey indicate that their value may improve when they obtain data certifications. In addition to providing evidence of your mastery of technical skills and potentially increasing your value, a data certification can boost your credibility by highlighting your passion for using the latest technologies. Add your certifications to your resume and LinkedIn page to alert colleagues, managers, and employers of your expertise.
If you like to analyze data and use Power BI to generate insights that help improve the success of your team, you fit the profile for this certification. You have a basic understanding of data warehouses and data processing, both on-premises and in the cloud. You know that big data visualization can lead to better communication and deeper insights, which are critical for an organization.
Does this sound like you? As a data analyst, you are a subject matter expert who enables organizations to increase the value of their data assets using Power BI. Your other responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytics capabilities that deliver meaningful business value through easy-to-understand data visualizations. You also collaborate with key stakeholders across verticals to provide relevant insights based on identified business needs.
If you pass this admissions exam, you may be eligible for ACE college credit. For details, see College credit for admissions exams.
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Subject matter experts with Power BI skills are on the cutting edge of a revolution in digital technology that has made new sources of information accessible, consumable and meaningful to organizations of all sizes. Microsoft certification validates your Power BI data analysis skills, so you can stand out in a world where demand for this expertise is increasing.
In today’s rapidly evolving digital landscape, certifications can demonstrate that you are technically adept. An IDC white paper, The Benefits of Role-Based Certifications, reports that in addition to highlighting specific technical skills, certification shows that you are willing to put in the effort to learn new technology to get ahead and stay ahead. Employers are building technology-agile organizations where people not only have the skills they’re looking for, but also the willingness to embrace a culture of learning.
A Global Knowledge study shows that 87 percent of IT professionals have at least one certification, while 40 percent are pursuing their next certification. Certification makes a lot of sense to stay competitive and prove to employers that your skills are up-to-date.
There is more than one way to become a Power BI Data Analyst. Depending on your career path, you should consider several different Microsoft Certifications. Many IT professionals hold multiple certifications, which demonstrates the breadth of knowledge.
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If you haven’t earned the basic certification yet, consider adding it to your portfolio. Microsoft Certified: Power Platform Fundamentals proves your fundamental skills across the Microsoft Power Platform. It highlights your familiarity with computer technology, data analytics, cloud computing, and the internet.
Aspiring data analysts love using Power BI to unlock data insights and provide their organizations with easy-to-understand data visualizations. As we noted, there may be more than one path to this role. However, if you are not ready for adoption, there are a few things you can do to prepare. Here are some suggestions:
If you’re ready to start your certification path, check out our Power BI Data Analyst Associate certification journey map. You can also find it in the resources section on the relevant accreditation and exam pages.
To map your route, follow the line on the route map. Start by deciding if this certification is right for you.
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Then, choose the training you need to prepare. To understand what you will be measured on when you take the exam, check out the Exam PL-300 skills guide on the exam page. Then sign up for training that fits your learning style and experience:
There is a practical exam for this certificate. You can practice for the Power BI Data Analyst Associate exam with Microsoft’s PL-300 Official Practice Test. All exam objectives are covered in depth, so you’ll find what you need to prepare for each question.
After you pass the exam and earn your certification, you can continue to expand your technical expertise by earning one of the other certifications mentioned in this blog post or by exploring other certification offerings. Consider our intermediate and advanced certifications as you reach further milestones in your career journey. Explore opportunities with Microsoft Power Platform and Dynamics 365 certification paths.
Join a community to engage with other Power BI Data Analysts, share ideas and ask questions. You can also find news about Microsoft events and learning opportunities.
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When you earn a certification or learn a new skill, celebrate your success with your network. It usually takes less than a minute to update your LinkedIn profile and share your accomplishments, highlight your skills, and help increase your career potential.
Once your Power BI Data Analyst Associate certification has expired, you can renew your certification by taking a free refresher assessment on Microsoft Learn—anytime within six months before your certification expires. For more information, read our blog post, Stay up-to-date with in-demand skills with free certification renewal.
You are a professional data analyst whose analytical capabilities and Power BI skills help businesses get the data they need to make better, faster decisions. Are you ready to explore how Microsoft Certification can help you on your career journey? A Power BI Data Analyst Associate certification can help you stand out in a technical landscape where the demand for data analytics expertise is increasing.
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Join our learning rooms, where you can engage directly with Microsoft Learn experts and peers to delve deeper into topics that interest you. This reference architecture shows how to display overload in an extract, load and transfer (ELT) pipeline. It uses Azure Data Factory to automate the ELT pipeline. The pipeline slowly transfers the latest OLTP data from the on-premises SQL Server database to Azure Synapse. The transaction data were converted into a tabular model for analysis.
This architecture builds on the one introduced in Enterprise BI with Azure Synapse, but adds some features that are important for enterprise data warehousing scenarios.
Internal SQL Server. The source data is located on structures in the SQL Server database. To simulate the internal environment, the deployment scripts for this architecture provision a virtual machine in Azure with SQL Server installed. The World Wide Importers OLTP sample database is used as the source database.
External data. A common scenario for data warehouses is the integration of multiple data sources. This reference architecture loads an external data set containing year-by-year city population, and integrates it with OLTP database data. You can use this data for insights such as: “Is sales growth in each region matching or outpacing population growth?”
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Blob Storage. Blob storage is used as a staging area for source data before it is uploaded to Azure Synapse.
Azure Synapse. Azure Synapse is a distributed system designed to perform analytics on big data. It supports massively parallel processing (MPP), which makes it suitable for running high-performance analytics.
Azure Data Factory. A Data Factory is a managed service that manages and automates data movement and data transformation. In this architecture, it coordinates the different stages of the ELT process.
Azure Analysis Services. Analytics Services is a fully managed service that provides data modeling capabilities. The semantic model is loaded into Analysis Services.
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Power BI. Power BI is a set of business analytics tools that analyze data for business insight. In this architecture, it queries the semantic model stored in Analysis Services.
The Data Factory can also use Azure AD to authenticate with Azure Synapse, using a service principal or Managed Service Identity (MSI). For simplicity, the sample implementation uses SQL Server authentication.
In Azure Data Factory, a pipeline is a logical group
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