CLASS ACTIVITY WEEK 14 by ghinnayatul fitrriya https://padlet.com/gynna2441/e114jiejytn8ojfh THREE (3) best data warehouse tools en-us 2023-03-06 12:06:13 UTC 2023-03-06 12:41:27 UTC hello@padlet.com Apache Spark: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505048817 Very fast and efficient processing large-scale data, supports multiple programming languages, and has a large and active community. It is suitable for both batch and real-time processing, making it a versatile tool for data warehousing.

]]> 2023-03-06 12:14:21 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505048817 Apache Hadoop: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505052605  It is a proven tool for storing and processing large amounts of data, scalable, fault-tolerant, and has a mature ecosystem. Hadoop supports various data processing engines like Hive, Pig, and Spark, making it a versatile tool for data warehousing.]]> 2023-03-06 12:17:13 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505052605 3 BEST DATA WAREHOUSE TOOLS gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505056029 2023-03-06 12:20:23 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505056029 Apache Kafka: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505058258 Very reliant and fast in processing streaming data, scalable, and fault-tolerant. Kafka is widely used for real-time data pipelines, and it integrates well with other data warehouse tools like Spark, Flink, and Hadoop.]]> 2023-03-06 12:22:44 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505058258 TEAM MEMBERS gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505061976 1. SYAMSUL AFHAM BIN ROZMAN (4202033481)
2. GHINNAYATUL FITRRIYA BINTI OTHAMAN (4203003261D)]]> 2023-03-06 12:26:11 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505061976 Pros: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505067435 Scalable and fault-tolerant for storing and processing large amounts of data
Open-source and free to use]]> 2023-03-06 12:30:53 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505067435 Cons: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505068686 Requires a significant amount of setup and configuration
Steep learning curve for beginners]]> 2023-03-06 12:32:04 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505068686 Pros: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505072910 Fast processing and efficient use of resources
Supports multiple programming languages]]> 2023-03-06 12:35:39 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505072910 Cons: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505074075 Not as good as Hadoop for storing data
Can be difficult to debug and optimize performance issues]]> 2023-03-06 12:36:38 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505074075 Pros: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505078270 Fast and efficient processing for streaming data
Scalable and fault-tolerant]]> 2023-03-06 12:40:27 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505078270 Cons: gynna2441 https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505079024 Requires some setup and configuration
Can be challenging to use for beginnerS]]> 2023-03-06 12:41:04 UTC https://padlet.com/gynna2441/e114jiejytn8ojfh/wish/2505079024