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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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QlikView Server vs Publisher Top Differences Really Useful to Your Project

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The differences between QlikView Server and publisher, I have given for your reference. These are related to internally how differ each other.




QLIKVIEW SERVER


  • The QVS is a server-side product. It contains an in-memory analytics engine, which handles all client/server communication between a QlikView client (Desktop, IE plugin, AJAX, or Mobile) and the server.
  • The Administrator can have access to the management console to control all aspects of the server deployments (including security, clustering, distribution, etc.) 
  • It also includes a web server to provide front-end access to the documents within.
  • The web server’s user portal is known as Access Point. (It’s important to note that while the QVS contains its web server, one can utilize Microsoft IIS (Internet Information Server) for this purpose, too).
  • The QVS handles client authorization against existing directory providers (Microsoft Active Directory, eDirectory)
  • It also performs read and write to ACLs (access control lists) for QVW documents.



QlikView Server vs Publisher
Qlikview

QLIKVIEW PUBLISHER


  1. The QlikView Publisher is a server-side product.
  2. It can use to load data directly from data sources defined via connection strings in the source QVW files. 
  3. It is also used as a distribution service to reduce data and applications from source QVW files based on various rules (such as user authorization or data access privileges) and to distribute these newly-created documents to the appropriate QlikView Servers or as static PDF reports via email.
  4. Data sources that you can access in QlikView are standard ODBC (OLEDBcompliant databases), standard flat files ( Microsoft Excel and XML), and from systems such as SAP NetWeaver, Salesforce.com, and Informatica.

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