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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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These Lovely Skills You Need to Enter as Data Architect

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We can analyze data quickly now. The data can be any size. The basic skills you need are R language skills and Machine learning for analyzing the data.

MapReduce Techniques

The MapReduce techniques and parallel processing in Hadoop allow us to cheaply and efficiently implement MapReduce on Internet scale problems. We use SQL like tools Pig and Hive.

NoSQL

We analyze so-called NoSQL storage solutions exemplified by HBase for their critical features: speed of reads and writes, data consistency, and ability to scale to extreme volumes.

Data Architect Requirements

  1. Data architects develop, analyze and administer data for businesses, schools and other organizations.
  2. They need sophisticated design and development skills to collect data and translate it for use in computer applications and systems. Most data architects have a bachelor's degree in information technology (IT), as well as years of experience in the IT field.
  3. Experience with programs such as Microsoft Excel, Access, SQL, Business Objects software, XML, SOA, ETL, BI, ERP and Agile; computer programming and data modeling skills*
  4. Degree in Engineering/Computer Science is desirable. Read more.

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How to Fix datetime Import Error in Python Quickly

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How to Check Kafka Available Brokers

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SQL Query: 3 Methods for Calculating Cumulative SUM

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