Azure Cloud Services
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Services covered in Azure cloud computing course 1)Azure Container services 2)Azure Functions 3)Azure Cosmos DB 4)Azure SQL 5)Azure Resource Manager 6)Azure IAM 7)Azure DNS 8)Azure Storage Disk Tools covered in Azure cloud computing course 1)Synapse Analytics 2)Data Lake Storage Gen 1 & 2 3)Data bricks 4)Stream Analytics 5)Monitor Alerts 6)Azure Log Analytics 7)Auto Scaling 8)Load Balancer
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➤ Microsoft Excel was developed by Microsoft Corporation in 1994 and is used to present numeric and statistical data in a tabular form.
➤ SQL was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin to extract, organize, manage & manipulate data stored in relational databases.
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➤ SQL is a query language used to manipulate databases and get information stored in a relational database management system (RDBMS).
➤ Excel is helpful for producing quick data summaries and visualizations
➤ SQL is needed to work with large volumes of data, manage databases, and use relational databases to their full potential.
➤ Microsoft Excel is used in business analyst roles for quick calculations, data summaries, and data visualizations.
➤ Data analysts use SQL to take care of large databases and find important and relevant data for business use.
➤ In Microsoft Excel, even slightly more than 100,000 will probably cause your computer to slow down.
➤ SQL does not slow down with larger data sets depending on the software and database.
In Excel, your data is saved in a file that is typically set up with tabs, columns, and rows on your computer.
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➤ Excel does not include encryption features for protecting sensitive data such as personally identifiable information, financial data, etc.
➤ The SQL database is designed to be a secure database platform. It has a number of features that can encrypt data, limit access and authorization, and keep data from being stolen, destroyed, or used in other bad ways.
➤ Excel spreadsheets are susceptible to small human mistakes.
➤The most common SQL error is a syntax error.
How to visualize Number using Python Library
Matplotlib is a popular
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numbers and generates a plot
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It can be a combination of Saas, PaaS & IaaS Services.
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A hybrid cloud combines both public and private clouds to give customers additional flexibility and greater control over their computing environment.
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➤ Microsoft Excel was developed by Microsoft Corporation in 1994 and is used to present numeric and statistical data in a tabular form.
➤ SQL was developed in the 1970s by IBM researchers Raymond Boyce and Donald Chamberlin to extract, organize, manage & manipulate data stored in relational databases.
➤ Excel is a spreadsheet or worksheet file made of rows and columns that help sort, organize, and calculate numerical data.
➤ SQL is a query language used to manipulate databases and get information stored in a relational database management system (RDBMS).
➤ Excel is helpful for producing quick data summaries and visualizations
➤ SQL is needed to work with large volumes of data, manage databases, and use relational databases to their full potential.
➤ Microsoft Excel is used in business analyst roles for quick calculations, data summaries, and data visualizations.
➤ Data analysts use SQL to take care of large databases and find important and relevant data for business use.
➤ In Microsoft Excel, even slightly more than 100,000 will probably cause your computer to slow down.
➤ SQL does not slow down with larger data sets depending on the software and database.
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➤ You make SQL queries and send them to the database. The database gets them and either fulfills your requests or changes them.
➤ Excel does not include encryption features for protecting sensitive data such as personally identifiable information, financial data, etc.
➤ The SQL database is designed to be a secure database platform. It has a number of features that can encrypt data, limit access and authorization, and keep data from being stolen, destroyed, or used in other bad ways.
➤ Excel spreadsheets are susceptible to small human mistakes.
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Matplotlib is a popular
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1)Understanding the problem
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2)Test
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👉 ETL stands for Extract, Transform, and Load.
👉 ELT stands for Extract, Load, and Transform.
👉 Both ETL and ELT use similar steps to process data.
👉 The key difference between these two is the fact that with ETL you have to first load the data into your database before it can be transformed, while with ELT you can just do the transformation without loading any data at all.
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Relationship between DEVOPS AND CLOUD-
-DevOps and cloud can collaborate in this way since everyone is learning new definitions and techniques at the same time.
-Developers and operations are both comfortable with the cloud's new language, since developers frequently teach operations about code and operations can teach developers about infrastructure and security.
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6)Pig
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Architects and developers have had to adjust to "big data" because of the significantly increased volume, diversity, and velocity of data in recent years.
What is Big Data?
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CloudWatch perform for cloud applications and resources-
1)Collect
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AWS Certified Solutions Architect-Associate (SAA-C02) is a technical certification offered by Amazon Web Services (AWS).
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AWS Lambda runs code in response to events and automatically manages the compute resources.
It can be used in various ways, including as a trigger for other AWS services.
Lambda is a pay-as-you-go service, so you only pay for what you use. You are charged based on the number of requests for your functions as well as the time it takes for your code to execute.
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-Support Virtual Private Cloud (VPC)
-Free Tier Per Hour
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Data volume-
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Data velocity-
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Data variety-
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Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
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