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Data Management Courses - Page 11

Showing results 101-110 of 399
Query a Database Table with SQL in LibreOffice Base
By the end of this project, you will have written SQL queries to retrieve data from a database table in LibreOffice Base. While Base includes a WYSIWYG query utility, learning to access data using SQL provides an additional measure of control over the data retrieval process. In addition, SQL skills can be applied across a variety of relational database management systems in addition to LibreOffice Base. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Enhancing User Interactivity in Looker with Liquid
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.
Migrating an application and data from Apache Cassandra™ to DataStax Enterprise
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to migrate an application running on Apache Cassandra™ to DataStax Enterprise (DSE). To do this, you will deploy a Cassandra™ database and an application that writes data into it. You will then deploy a DataStax Enterprise database and connect the same application to the database. Finally, you will learn how to migrate data from Apache Cassandra™ to DSE using the The DataStax Bulk Loader dsbulk.
Cloud Spanner - Loading Data and Performing Backups
This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
Identifying Bias in Mortgage Data using Cloud AI Platform and the What-if Tool
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use the What-if Tool to identify potential biases in a model trained on mortgage loan applications.
Spring Data Repositories
This course is aimed at students wishing to learn how Java interacts with databases in a modern framework. The course uses the very popular Spring Boot Framework, with Micro services, as a setting for our database interactions using Java Persistence Framework (JPA) and Spring Data Repositories to abstract away JPA. Students will then learn how to expose Repositories as Rest Web services in their own right using Hypermedia as the Engine of Application State or HATEAOS concepts. Spring Aspect Oriented Programming (AOP) will be covered to illustrate how cross cutting concerns like logging can be applied in a centralized non evasive manner to domain classes. finally the course covers the use of Spring Transaction Managers and Springs declarative configuration Transaction model.
Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.
Google Data Analytics Capstone: Complete a Case Study
This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete an optional case study, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn other useful job hunt skills through videos with common interview questions and responses, helpful materials to build a portfolio online, and more. 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 the benefits and uses of case studies and portfolios in the job search. - Explore real world job interview scenarios and common interview questions. - Discover how case studies can be a part of the job interview process. - Examine and consider different case study scenarios. - Have the chance to complete your own case study for your portfolio.
Hello Cloud Run
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll learn how to get started with Cloud Run by deploying and running a stateless container serverless-ly (with the infrastructure abstracted away).
Create a Database with LibreOffice Base
By the end of this project you will have used LibreOffice Base to create a relational database table and populate it with rows of data. Base provides features that allow you to work with databases using wizards that lead you through the processes step-by-step. It also provides methods of working with database components directly, giving you the additional measure of control and flexibility you need to create a custom-designed database. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.