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Showing posts with the label Self-service visualization

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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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7 Features of Tableau Self-service Engine

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Tableau introduced the Self-Service tool. This Tool helps user queries while importing data from multiple sources. This project is called Project Maestro . This is an additional feature for the data analysis engine. Self-Service Engine in Tableau The visual ways of inspecting, joining and editing data. Results could then be piped into Tableau for analysis. Speedier data import and analysis. Tableau's new data engine works based on Hyper technology. You can see now faster to import and analyze large data sets with Tableau. Hundreds of thousands of records being imported per second, as well as being visualized in real-time as the import process continued. This engine developed based on feedback from the user community. It supports natural language queries. Tableau is aiming for true natural speech, not merely being able to type in questions that require using exact field names and functions. The example is you can ask questions like Tell me the cheapest houses in near Calif
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