Suggest Me about Qatar

​Greetings,

My name is Ehsan. I recently came to Qatar to help serve one of the prestigious organization and bring new ideas and experiences to it. 

I have registered and started contributing to the organization’s process since past few weeks. 

I am inspired by the management who are highly supportive of the idea of evolution and guiding us implement the ideas. 

My dream

I usually get 2 to 3 really good ideas every quarter which I evaluate to business case. Getting them implemented gives me sense of accomplishment and motivation to live beyond just my own personal expectations. This is energy is always inspiring and transferable to others around us. 

I am seeking additional ideas to be evaluated, presented and executed. 

I request you to reach out to me and share if you are also inspired  with new vision forward them to me and my team. 

Why? 

Any new idea needs to be evaluated and fine tuned. If you do not share it will go in your memory and when you see other people implement it you might feel regret ful either not sharing or unable to resource. 

If we move your idea into a case study and implementation state we would share benefits and acknowledgment of it to you. 

Tableau

Tableau is a business intelligence (BI) and data visualization software platform. It allows users to connect to a variety of data sources, including spreadsheets, databases, and cloud-based data warehouses. Tableau then allows users to create interactive visualizations of their data.

Tableau is a popular BI tool among businesses of all sizes. It is used by businesses to make better decisions, improve operations, and communicate insights to stakeholders.

Here are some of the features of Tableau:

• Data connectivity: Tableau can connect to a variety of data sources, including spreadsheets, databases, and cloud-based data warehouses.
• Data visualization: Tableau allows users to create interactive visualizations of their data. These visualizations can be used to explore data, identify trends, and communicate insights.
• Dashboards: Tableau can be used to create dashboards that display key metrics and insights. Dashboards can be shared with stakeholders to keep them informed of the latest data.
• Collaboration: Tableau allows users to collaborate on data visualizations. This can be done by sharing dashboards or by working on the same visualization together.
• Extensibility: Tableau is extensible with a variety of add-ons and connectors. This allows users to customize Tableau to meet their specific needs.

Tableau is a powerful BI tool that can be used to make better decisions, improve operations, and communicate insights to stakeholders. If you are looking for a BI tool, Tableau is a good option to consider.

Here are some of the benefits of using Tableau:

• Ease of use: Tableau is a user-friendly BI tool that can be used by people with no prior experience in data visualization.
• Powerful features: Tableau offers a wide range of features for data visualization, including dashboards, collaboration, and extensibility.
• Scalability: Tableau can be used to handle large datasets and complex visualizations.
• Cost-effectiveness: Tableau is a cost-effective BI tool that is available in a variety of pricing plans.

If you are considering using Tableau, I recommend that you do the following:

• Try the free trial: Tableau offers a free trial that you can use to test the software.
• Read the documentation: Tableau provides comprehensive documentation that you can use to learn how to use the software.
• Take a training course: Tableau offers a variety of training courses that you can take to learn how to use the software.
• Join the community: Tableau has a large and active community of users who can help you with questions and problems.

Microsoft Power BI

Microsoft Power BI is a business intelligence (BI) suite that helps you analyze data and share insights. It provides a variety of tools for data visualization, reporting, and dashboarding. Power BI can be used to connect to a variety of data sources, including cloud-based data warehouses, on-premises databases, and spreadsheets.

Power BI is a popular BI tool among businesses of all sizes. It is used by businesses to make better decisions, improve operations, and communicate insights to stakeholders.

Here are some of the features of Power BI:

• Data connectivity: Power BI can connect to a variety of data sources, including cloud-based data warehouses, on-premises databases, and spreadsheets.
• Data visualization: Power BI provides a variety of tools for data visualization, including charts, graphs, and maps. These visualizations can be used to explore data, identify trends, and communicate insights.
• Reporting: Power BI can be used to create reports that summarize data and present it in a clear and concise way. Reports can be shared with stakeholders to keep them informed of the latest data.
• Dashboards: Power BI can be used to create dashboards that display key metrics and insights. Dashboards can be customized to meet the specific needs of the user.
• Collaboration: Power BI allows users to collaborate on data visualizations and reports. This can be done by sharing dashboards or by working on the same visualization together.
• Extensibility: Power BI is extensible with a variety of add-ons and connectors. This allows users to customize Power BI to meet their specific needs.

Power BI is a powerful BI tool that can be used to make better decisions, improve operations, and communicate insights to stakeholders. If you are looking for a BI tool, Power BI is a good option to consider.

Here are some of the benefits of using Power BI:

• Ease of use: Power BI is a user-friendly BI tool that can be used by people with no prior experience in data visualization.
• Powerful features: Power BI offers a wide range of features for data visualization, reporting, and dashboarding.
• Scalability: Power BI can be used to handle large datasets and complex visualizations.
• Cost-effectiveness: Power BI is a cost-effective BI tool that is available in a variety of pricing plans.

If you are considering using Power BI, I recommend that you do the following:

• Try the free trial: Power BI offers a free trial that you can use to test the software.
• Read the documentation: Power BI provides comprehensive documentation that you can use to learn how to use the software.
• Take a training course: Power BI offers a variety of training courses that you can take to learn how to use the software.
• Join the community: Power BI has a large and active community of users who can help you with questions and problems.

Data Catalog, Data Sources, Data Governance, Data Council

A data catalog is a centralized repository that stores information about data assets, such as their location, format, lineage, and usage. It can be used to find and understand data, and to manage its quality and governance.

There are many reasons why a data catalog is required. Here are some of the most important ones:

• To improve data discoverability: A data catalog can help users find the data they need, even if they don't know where it is or what it is called.
• To improve data understanding: A data catalog can provide information about the data, such as its format, lineage, and usage. This can help users understand the data and use it more effectively.
• To manage data quality: A data catalog can track the quality of data assets. This can help identify and fix data quality issues.
• To improve data governance: A data catalog can be used to manage the governance of data assets. This can help ensure that data is used in a compliant and ethical way.
• To support data collaboration: A data catalog can help users collaborate on data assets. This can help ensure that data is used consistently and efficiently.
• To support data lineage: A data catalog can track the lineage of data assets. This can help users understand how data is used and to identify data dependencies.

Data catalogs are becoming increasingly important as organizations collect and use more data. They can help organizations to improve the discoverability, understanding, quality, governance, collaboration, and lineage of their data assets.

Here are some of the benefits of using a data catalog:

• Improved data discovery: A data catalog can help users find the data they need, even if they don't know where it is or what it is called. This can save time and effort, and it can help users make better decisions.
• Improved data understanding: A data catalog can provide information about the data, such as its format, lineage, and usage. This can help users understand the data and use it more effectively.
• Improved data quality: A data catalog can track the quality of data assets. This can help identify and fix data quality issues, which can improve the reliability of the data.
• Improved data governance: A data catalog can be used to manage the governance of data assets. This can help ensure that data is used in a compliant and ethical way.
• Improved data collaboration: A data catalog can help users collaborate on data assets. This can help ensure that data is used consistently and efficiently.
• Improved data lineage: A data catalog can track the lineage of data assets. This can help users understand how data is used and to identify data dependencies.

​A data source is a specific location where data is stored. Data sources can be internal, such as a database or a file system, or external, such as a cloud storage provider or a social media platform.

Data sources and catalogs are closely related. A data catalog can be used to store information about data sources, such as their location, format, and lineage. This information can be used to find and understand data sources, and to manage their quality and governance.

• Data sources:
  • Internal data sources:
    • Databases
    • File systems
    • Applications
  • External data sources:
    • Cloud storage providers
    • Social media platforms
    • Government websites
• Data catalogs:
  • Google Cloud Data Catalog
  • Microsoft Azure Data Catalog
  • Amazon Web Services (AWS) Glue Data Catalog
  • IBM Cloud Data Catalog
  • DataStax Astra Data Catalog

Data governance is a set of processes and policies that ensure that data is managed in a consistent, secure, and compliant way. It is important for organizations to have data governance in place to protect their data assets, ensure compliance with regulations, and make better decisions based on data.

A data council is a group of individuals responsible for overseeing the data governance of an organization. They are responsible for developing and implementing data governance policies and procedures, and for ensuring that data is managed in a consistent, secure, and compliant way.

Data stewards are individuals responsible for managing specific data assets. They are responsible for ensuring that the data is accurate, complete, and consistent, and that it is used in a compliant and ethical way.

To create a data council and stewards, you need to:

1. Identify the stakeholders: The first step is to identify the stakeholders who will be involved in the data council and stewards. This includes representatives from the business, IT, and legal departments, as well as any other stakeholders who have a vested interest in data governance.
2. Define the roles and responsibilities: Once you have identified the stakeholders, you need to define the roles and responsibilities of the data council and stewards. This will vary depending on the specific needs of the organization, but some common roles and responsibilities include:
   • Developing and implementing data governance policies and procedures
   • Overseeing the management of data assets
   • Ensuring that data is used in a compliant and ethical way
   • Communicating with stakeholders about data governance
3. Establish a governance framework: The next step is to establish a governance framework. This framework should define the overall approach to data governance, and it should include the policies and procedures that will be used to manage data.
4. Appoint the data council and stewards: Once you have established a governance framework, you can appoint the data council and stewards. The data council should be made up of senior stakeholders who have the authority to make decisions about data governance. The data stewards should be individuals who have the expertise and experience to manage specific data assets.
5. Communicate the data governance framework: Once you have appointed the data council and stewards, you need to communicate the data governance framework to all stakeholders. This will help to ensure that everyone understands the roles and responsibilities of the data council and stewards, and that they are aware of the policies and procedures that will be used to manage data.

Data governance is an ongoing process that requires regular monitoring and improvement. The data council and stewards should meet regularly to review the data governance framework and to make sure that it is being implemented effectively.

Here are some of the benefits of creating a data council and stewards:

• Improved data governance: A data council and stewards can help to improve data governance by providing a forum for stakeholders to discuss data governance issues and by ensuring that data governance policies and procedures are implemented effectively.
• Increased visibility of data governance: A data council and stewards can help to increase the visibility of data governance by raising awareness of data governance issues and by communicating the data governance framework to all stakeholders.
• Improved data quality: A data council and stewards can help to improve data quality by ensuring that data is accurate, complete, and consistent.

Databricks - Data Lake House

​data lake house