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8 Top Data Science Platform Developers in the World

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Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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What is 'SAP HANA" stands for: Best definition

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What is SAP HANA?
HANA stands for High-Performance Analytic Appliance. SAP HANA is a combination of hardware and software, and is therefore an appliance.

 SAP HANA supports column- and row-level storage. We can store and perform analytics on a huge amount of real-time, non-aggregated transactional data. Hence, HANA acts as both a database and a warehousing tool, which helps in making decisions at the right time. 

 Challenges in Traditional RDBMS?
There are a few challenges in traditional databases, such as latency, the cost involved, and complexity in accessing databases.

 Related: SAP HANA jobs and career options

 What is Architecture of traditional RDBMS?

 Presentation Layer: This is the top-most layer and allows users to manipulate data so that they can input it for querying. This data input from users is passed on to the database layer through the application layer and the results are passed back to the application layer to implement business logics. The presentation layer can be anything—the web browser, SAP GUI, SAP BEx, SAP Business Objects, and so on. These tools will be installed on individual client machines. 

 Application Layer: This layer is also called the business layer. All the business logic will be executed in this layer. It controls the application's functionality by performing detailed processing. This can be installed on one machine or distributed across more than one system.

 Database Layer: This layer receives data from the business layer and performs the required operation from the database. It contains database servers that store the data. Data is stored independently of application layers or business logics. The database layer remains as an internal interface and is not exposed to the end users. The application layer has to access the data in the database only through this layer.

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8 Top Data Science Platform Developers in the World

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Top data science tools and platforms providers across the world. Useful information for data science and data analytics developers.

Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. 

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