Azure DevOps is a service from Microsoft. As the name suggests, it is a development operations tool. This is one of the important tools that a DevOps Engineer must have. As you know, DevOps is the connection of program development processes. Sending it up and deploying it for users to access efficiently and with quality, as well as tracking the working status of the program in order to bring it back to improve the program development process. The problem for a DevOps Engineer is that in deploying, it has a redundant problem. Whether it's about the work process, sometimes the developer who develops the code is unable to deploy the code for use by himself. which causes an unsmooth work flow It is a hindrance to app development. Instead of fully developing the app But developers have to worry about writing code, so Azure DevOps will help solve this problem. Reduce erroneous work and reduce working time Make the app fully developed to meet the needs of customers.

1. Azure Board:

Helps DevOps Engineers and teams plan different work schedules. Manage all positive actions Helps your work have more work flow, making your app development more Develop faster and better If compared to other products on the market, it might be comparable to JIRA, but smaller and less complex. It is more convenient to use.

2. Azure Pipelines:

Help developers build, test, and deploy code with CI/CD, helping manage repetitive tasks or processes. To have the same quality and standard every time. This makes it easier to manage and work on projects with others. Devs are responsible for putting the source code into Git so that the system can run automatically. Azure Pipelines is considered the heart of various automation.

3. Azure Repos:

There is space to store project data when the developer writes code to edit it. will be recorded Free and unlimited with "Git" by Git is a storage system in the Version Control System that stores files or data that have been edited in all projects. Can view work history How many times it was fixed, who fixed it, when and when it was fixed. When the system crashes, it can be traced back. Reduce the problem of overlapping work Edit the same work file

4. Azure Test Plans

Helps developers plan inspections Experimenting with various systems You can determine what to check and how many capabilities you have. and the system will produce a report for you to see

5. Azure Artifacts

A system that will help developers manage packages. To be used for sharing in various projects that are shared with the same project team. Help organize programs created by developers. If someone on the project team has created a package that they want to use Users can create a Hosting Package by creating a feed to link the program they want to use to the user's Artifact. This method will save time and reduce work steps. If it is a Hosting Package from within the same organization It will be more secure.

The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

The project includes these modules:

• Hadoop Common: The common utilities that support the other Hadoop modules.
• Hadoop Distributed File System (HDFS™): A distributed file system that provides high-throughput access to application data.
• Hadoop YARN: A framework for job scheduling and cluster resource management.
• Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.

What are the benefits of Hadoop?

One of the top reasons that organizations turn to Hadoop is its ability to store and process huge amounts of data – any kind of data – quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things, that’s a key consideration. Other benefits include:

• Computing power. Its distributed computing model quickly processes big data. The more computing nodes you use, the more processing power you have.
• Flexibility. Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data like text, images and videos.
• Fault tolerance. Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. And it automatically stores multiple copies of all data.
• Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data.
• Scalability. You can easily grow your system simply by adding more nodes. Little administration is required.

Power BI

is a data analysis and visualization tool created by Microsoft to help users connect and display data from various sources in beautifully designed and efficient ways. This includes unique graphs and diagrams. Using Power BI, users can analyze data in interesting and meaningful ways. It uses various tools such as data drawings, graphs, charts, tables, bar charts, pie charts, and more.

Power BI

can connect to a variety of data sources, including on-premises databases, Excel or CSV files, cloud services like Azure SQL Database, and many others. Users can create charts, reports, and dashboards to provide data. Important and conveys meaning very well Data can be accessed and shared both within the organization and abroad through web browsers or mobile devices. Power BI can also be customized and configured to meet different needs and data display formats. It also has formula writing, AI applications, and real-time live charting that help users track and analyze data at the same time.

Power BI's main steps are as follows:

Connect Data Sources:

Power BI helps connect to the data sources you want to analyze, such as databases, Excel files, cloud services, etc. You can select the desired data source and configure the connection to pull data into Power BI.

Import and format data:

When receiving data from a data source You can import data into Power BI and format it accordingly, such as changing column names. Setting data types, etc.

Create reports and charts:

In this step, you can create reports and charts to display the data in the format you want. Power BI provides a rich set of tools to help you create the right graphs and charts for your needs, such as line charts, bar charts, pie charts, charts. matrix, etc.

Create dashboards:

Power BI lets you create dashboards that creatively combine reports and charts. Data can be arranged and displayed in a useful manner. and create additional detailed browsing paths when clicking on a chart or report.

Publish and share:

Once you've created the reports and dashboards you want, You can publish and share information for others to access. Other users can view and examine the data through a web browser or Power BI application.

Set up tracking and alerts:

Power BI can set up tracking and alerts to alert you when data changes or important events occur, such as choosing to display to a specific level. So that you receive the information you need to check regularly.

Yellowfin is an award winning Business Intelligence platform that empowers business users across job functions and industries by making data incredibly easy to consume and analyze. No matter whether you're a casual business user or the CIO, Yellowfin makes it easy for you to unearth the insights you need from your critical data assets.

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Yellowfin is built for enterprise. We have some really big deployments – 160,000 end-users for a single client alone. And, we’ve learnt some equally big lessons along on the way. These lessons have been incorporated into Yellowfin to deliver a truly robust enterprise BI platform.

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Having easy access to your data is the first step in making informed decisions. Yellowfin’s interactive dashboards and intuitive Report Writer gives you control over your data analysis. Slice and dice your data to see your business from multiple angles. Forget about waiting for IT every time you have a business problem to solve.

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We understand that decisions made in organizations are not made in silos. That’s why Yellowfin pushes the boundaries of Collaborative BI. With Yellowfin, it’s easy for you to discuss, share and collaborate with others. Imagine having all the relevant information in front you and the team. Imagine better, faster fact-based collective decision-making.

Oracle Business Intelligence (BI) Applications are complete, prebuilt BI solutions that deliver intuitive, role-based intelligence for everyone in an organization—from front line employees to senior management—that enable better decisions, actions, and business processes. Based on best practices, these solutions enable organizations to gain more insight and greater value from a range of data sources and applications including Oracle E-Business Suite, PeopleSoft, Siebel, JD Edwards, and third party systems such as SAP.

Oracle BI Applications are built on the Oracle BI Suite Enterprise Edition, a comprehensive, innovative, and leading BI platform. This enables organizations to realize the value of a packaged BI Application, such as rapid deployment, lower TCO, and built-in best practices, while also being able to easily extend those solutions to meet their specific needs, or build completely custom BI applications—all on one common BI foundation.

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