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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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13 Tricky Kubernetes Os Interview Questions

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THE tricky interview questions will simplify your job search - the listed questions are in the order of basic to midlevel skills. Kubernetes is an operating system built to work on Linux distributions for the sole purpose of Kubernetes Cluster. Kubernetes 13 Tricky Kubernetes Interview Questions. These interview questions help you to recap before the interviews. Also, you can use this knowledge for your projects. 1. What is Kubernetes? Kubernetes is OS (operating system) on the cloud, which oversees the cloud-native containerized apps. It is an orchestrator, which takes care of cloud apps - updates, rollback, scale-up, scale down, maintenance, etc. 2. What are Cloud-native apps? These run on the cloud, which means on any cloud - private, public, hybrid. They also run in an on-premise datacenter. The right answer is- applications designed and written in such a way that scale up or scale down as demand rises or fallen. 3. What are Containerized apps? Containers, which have images of apps
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5 Tricky Python Interpreter Interview Questions

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Python is an interpreter, which converts to byte-code when it first encounters the .py module. It is portable. And, it is a one-time job. IN THIS PAGE Python Interpreter Interview Questions Python Interpreter 1 - What's an Interpreter? Python interpreter  converts source-code to byte-code when you first execute it is non-runnable code. The only software can process that code. During Python installation, a virtual environment will create. This environment can parse the byte code. 2 - What're the differences Between Bytecode and Machine Code? Machine code is binary that you can see in the form of 0,1s. Byte code is non-readable, only a designated software can parse it. 3 - How does Python Interpreter Work? Self-read flow chart. The smiley is byte-cod e. It uses other libraries and create byte-code. Execution flow of Interpreter 4 - When you Install Python, the list of components do you think to install? Interpreter and Libraries. Interpreter. The process of the interpreter is Bla
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10 Tricky Apache-Storm Interview Questions

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The storm is a real-time computation system. It is a flagship software from Apache foundation. Has the capability to process in-stream data. You can integrate traditional databases easily in the Storm. The tricky and highly useful interview questions given in this post for your quick reference. Bench mark for Storm is a million tuples processed per second per node. Tricky Interview Questions 1) Real uses of Storm? A) You can use in real-time analytics, online machine learning, continuous computation, distributed RPC, ETL 2) What are different available layers on Storm? Flux SQL Streams API Trident   3)  The real use of SQL API on top of Storm? A) You can run SQL queries on stream data 4) Most popular integrations to Storm? HDFS Cassandra JDBC HIVE HBase 5) What are different possible Containers integration with Storm? YARN DOCKER MESOS 6) What is Local Mode? A) Running topologies in the Local server we can say as Local Mode. 7) Where all t
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