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8 Ways to Optimize AWS Glue Jobs in a Nutshell

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  Improving the performance of AWS Glue jobs involves several strategies that target different aspects of the ETL (Extract, Transform, Load) process. Here are some key practices. 1. Optimize Job Scripts Partitioning : Ensure your data is properly partitioned. Partitioning divides your data into manageable chunks, allowing parallel processing and reducing the amount of data scanned. Filtering : Apply pushdown predicates to filter data early in the ETL process, reducing the amount of data processed downstream. Compression : Use compressed file formats (e.g., Parquet, ORC) for your data sources and sinks. These formats not only reduce storage costs but also improve I/O performance. Optimize Transformations : Minimize the number of transformations and actions in your script. Combine transformations where possible and use DataFrame APIs which are optimized for performance. 2. Use Appropriate Data Formats Parquet and ORC : These columnar formats are efficient for storage and querying, signif
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Tutorial: SAP HANA Basics for Beginners

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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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