Imagine working in a car rental company that has a manual system for keeping track of the cars that are currently rented out. Can you imagine all that paperwork and having to chase your manager across the office to approve each car rental request? Thankfully, with technology we can put many manual processes under control and automate almost everything. This intermediate-level guided project, “Automate Approval Process with SharePoint & Power Automate” is for any business professional who is looking to automate any kind of a business approval process and has some prior knowledge of Excel formulas. In this Intermediate-level guided project, you will create a SharePoint site and lists, and use Power Automate to automate approval process for car rental requests by employees. You will also make a calendar which will show when the cars are rented out, and you will learn to create flows that send reminders to the managers. What’s great about SharePoint and Power Automate is that anyone can learn to use them regardless of their educational background! Since this project uses Power Automate (part of the Microsoft Power Platform), you will need access to a Microsoft account and a Microsoft 365 Developer Program subscription. In the video at the beginning of the project you will be given instructions on how to sign up for both, as well as how to set up SharePoint. The SharePoint set up might take up to 2 hours to complete, so please take that into account. If you are ready to make your and your colleagues' lives easier by starting to automate manual, time-consuming processes that are hard to track, then this project is for you! Let's get started!

In this project, you will use Linux commands to traverse Linux directories and list files. You will also learn where certain files are stored, how to change permissions to allow access, and how to decide where files should reside. Linux is a popular operating system that is based on the Unix operating system. It has many distributions which have different interfaces for installing software, different user interfaces, and so on. Each distribution has a similar filesystem with directories used to house and organize files.

This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading.

By the end of this project, you will learn how to create an application that sorts Missouri Tax Data into ascending order using a variety of critical sorting algorithms. We will learn how to process a real life data set, and see the difference between various sorting algorithms in memory and time usage. In addition, we will learn how to analyze a sorting algorithm and how to design a readable implementation. Finally, we will cover what circumstance are ideal for each type of sorting algorithm. After completing this project, students will be able to move to more advanced algorithms and data structures. Sorting algorithms are essential to the creation of powerful and efficient programs, for almost any circumstance when we need to arrange the data for our user in a certain order. Doing this can make it significantly faster for a human, or even computer, to parse and understand this data to make business decisions. We will explore how each of these sorting methods are different and how to implement them. We will also briefly cover how to access these methods using built-in Java functions. In this course we will cover bubble sort, insertion sort, merge sort, selection sort, and quicksort. These five sorting techniques span a variety of efficiencies and use cases in real life. They also all are easy to implement with knowledge of arrays, recursion, and loops in Java.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to share datasets and publish datasets with BigQuery.

By the end of this project, you will use the Apache Spark Structured Streaming API with Python to stream data from two different sources, store a dataset in the MongoDB database, and join two datasets. The Apache Spark Structured Streaming API is used to continuously stream data from various sources including the file system or a TCP/IP socket. One application is to continuously capture data from weather stations for historical purposes.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn about service mesh authentication, and authorization using Istio, and enable service-to-service authentication using the Hipster Shop microservices application.

Microsoft Windows has been at the forefront of enterprise computing for several decades. What most office workers see is the desktop side – such as Windows 7, 8 or 10. This course explores what it takes to design and build the server side of Windows in an enterprise environment. This course will explore everything from Windows Server installation to configuring users, to hardening the server operating system itself. This course is the second course in the System Management and Security Specialization focusing on enterprise system management. The first week of this course provides an overview of how Windows operates in an enterprise environment and what it may look like in the real world. Week 2 of the course will show you how Windows users interact with the system. At the end of Week 2, you will be able to demonstrate how Windows authentication works at the end of Week 2. Week 3 will explore authorization in a Windows environment. At the end of Week 3, you will be able to differentiate between different authorization mechanisms and use different technologies to secure data within the environment. Week 4 explores built in security features of Windows and demonstrates how to use each technology effectively and in what circumstances you would use what technology for what purpose. At the end of week 4, you will be able to determine which technology is the best technology to use to secure certain portions of the Windows operating system.

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will: - Learn how to organize data for analysis. - Discover the processes for formatting and adjusting data. - Gain an understanding of how to aggregate data in spreadsheets and by using SQL. - Use formulas and functions in spreadsheets for data calculations. - Learn how to complete calculations using SQL queries.

This specialization offers the latest developments in blockchain technology through a highly engaging learning experience with animated video components and intuitive course flow to maximize your knowledge retention.