Showing posts with the label sas course on analytics

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8 Ways to Optimize AWS Glue Jobs in a Nutshell

  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

Data analytics popular free video course on SAS

The Introduction to Analytics course is a set of 12 videos that take you through the basics of data analytics and the language of SAS.You should do this course if you are interested in data analytics and would like to pursue it as a career or if you have heard about the buzz it is creating and just want to know what it is all about. Each video is 5 to 30 minutes in length. If done in one go, it should take you about two hours to cover the course. The course is divided into three sections. The first section 'Introduction to Analytics' is a set of 6 videos. Here is a snapshot of the 6 videos: 1. What is analytics? This module explains the basis of analytics. 2. Why is analytics popular? This module talks about why analytics has become a big buzzword in business circles and the advantages of analytics. 3. Analytics applications? Here you will be introduced to the various analytics applications popularly used today. 4. Analytics technology Link to free course L