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What are different spring boot cloud projects

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Spring Boot Cloud projects are a set of frameworks and tools provided by the Spring Framework ecosystem that enable developers to   build cloud-native applications easily. These projects focus on simplifying the development, deployment,  and management of distributed systems and microservices in a cloud environment. Here are some key Spring Boot Cloud projects: 1.  Spring Cloud Config:                    Provides centralized external configuration management for distributed                  systems. It allows you to store and manage configuration properties in a                 central repository and retrieve them dynamically at runtime. 2.  Spring Cloud Netflix:                        Integrates various Netflix components into Spring applications,               such as Eureka for service registration and discovery, Ribbon for client-side load                                          balancing,  Hystrix for fault tolerance and circuit breaking, and Zuul for                        API
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What is TensorFlow ? Example with springboot and maven

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1.  TensorFlow is an open-source software library developed by Google Brain team for machine       learning and artificial intelligence applications.       It is one of the most widely used libraries for building and training machine learning models.  2. TensorFlow uses a data flow graph to represent a machine learning model.       In this graph, nodes represent mathematical operations, and edges represent the input/output       relationships between these operations.       A TensorFlow model consists of a set of operations arranged in a graph, with each operation taking      one or more tensors as input and producing one or more tensors as output.  3.  TensorFlow supports a wide range of machine learning techniques, including deep learning, neural        networks, and reinforcement learning. It provides a flexible and efficient framework for building        and training machine learning models, with support for distributed computing, GPU acceleration,        and a variety of p
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How to connect DynamoDB using AWS and springboot example

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To connect DynamoDB using AWS and Spring Boot, you can use the AWS SDK for Java.  Here's an example code that shows how to connect to DynamoDB using Spring Boot:   1. Add the AWS SDK and DynamoDB dependency to your project.        You can do this by adding the following to your pom.xml file: <dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-java-sdk-dynamodb</artifactId> <version>1.12.91</version> </dependency> 2. Create a configuration class that sets up the DynamoDB client.        Here's an example of how to create a configuration class: @Configuration public class DynamoDBConfig { @Value("${amazon.dynamodb.endpoint}") private String dynamoDBEndpoint; @Value("${amazon.aws.accesskey}") private String accessKey; @Value("${amazon.aws.secretkey}") private String secretKey; @Bean public AmazonDynamoDB amazonDynamoDB() { ret
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How to connect AWS using spring boot example code

To connect to AWS using Spring Boot, you can use the AWS SDK for Java.   Here is an example code that shows how to connect to AWS using Spring Boot:   1. Add the AWS SDK dependency to your project. You can do this by adding the following to your pom.xml file: <dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-java-sdk</artifactId> <version>1.12.91</version> </dependency> 2. Configure the AWS credentials. You can either set the credentials as environment variables or use a profile file. Here's an example of setting the credentials as environment variables: export AWS_ACCESS_KEY_ID=<your-access-key> export AWS_SECRET_ACCESS_KEY=<your-secret-key> export AWS_REGION=<your-region> 3. Create an AWS client bean. In your Spring Boot application, create a bean for the AWS client that you want to use. For example, to create an S3 client, you can use the following code: @Configuration
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What are different Power BI components and Architecture

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  Power BI is a business intelligence tool developed by Microsoft, which enables users to create interactive visualizations and reports with their data.  The main architecture of Power BI The main components of Power BI are: 1. Power BI Desktop : It is a Windows application that allows users to create data models, reports, and visualizations. It provides a comprehensive set of tools to connect to various data sources, transform data, and create powerful visualizations. 2. Power BI Service: It is a cloud-based service that allows users to publish, share and collaborate on their reports and dashboards. Users can access their reports from anywhere and share them with others. 3. Power BI Mobile: It is a mobile app that enables users to view and interact with Power BI reports and dashboards on their mobile devices. It provides a responsive and touch-friendly interface optimized for mobile devices. 4. Power BI Report Server: It is an on-premises solution that allows users to host and mana
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Sample Power BI Example

A common use case for Power BI is to create a dashboard that displays key metrics for a business.  Here is a sample Power BI example of a sales dashboard:  1.  Data Source: In this example, the data is sourced from a SQL Server database that contains sales data. 2. Report Page: The first page of the report displays an overview of sales by region, product, and time                              period. The report includes a map visualization that shows sales by region, a stacked                             column chart that displays sales by product, and a line chart that shows sales over time. 3. KPIs: The report also includes a KPI (Key Performance Indicator) visual that displays the total sales for                 the selected time period.  4. Drill-Down Functionality: The report includes drill-down functionality that allows the user to click on                                                   a region or product to see more detailed information.  5. Slicers: The report includes
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How to Get started with Power BI

Power BI is a business intelligence tool developed by Microsoft that allows users to visualize and analyze data from various sources.   If you are new to Power BI, here are some steps to get started: 1.     Install Power BI Desktop: Power BI Desktop is a free application that you can download from the Microsoft website. This application is used to create reports and dashboards.  2.   Connect to data sources: Power BI supports a wide range of data sources, including Excel files, SQL Server databases, and cloud-based services like Google Analytics and Salesforce. To get started, you can connect to a simple data source, like an Excel file.  3.   Create a report: Once you have connected to your data source, you can start creating a report in Power BI Desktop. To create a report, you will need to drag and drop visualizations onto the canvas, and configure them to show the data you want.  4.   Publ
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