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๐ฒ ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐๐ฟ๐ถ๐ฐ๐ธ๐ ๐ฒ๐๐ฒ๐ฟ๐ ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐๐ต๐ผ๐๐น๐ฑ ๐ธ๐ป๐ผ๐ ๐ ๐๐ง๐๐ฉ๐๐ฃ๐ ๐๐ฎ๐๐ฅ๐๐ง๐ ๐๐ค๐๐ ๐๐จโฆ
Aivix
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๐ฒ ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐๐ฟ๐ถ๐ฐ๐ธ๐ ๐ฒ๐๐ฒ๐ฟ๐ ๐ฑ๐ฎ๐๐ฎ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐๐ต๐ผ๐๐น๐ฑ ๐ธ๐ป๐ผ๐ ๐
๐๐ง๐๐ฉ๐๐ฃ๐ ๐๐ฎ๐๐ฅ๐๐ง๐ ๐๐ค๐๐ ๐๐จ ๐ค๐ฃ๐ ๐ฉ๐๐๐ฃ๐. ๐๐ง๐๐ฉ๐๐ฃ๐ ๐๐ฎ๐๐ฅ๐๐ง๐ ๐๐ค๐๐ ๐ฉ๐๐๐ฉ ๐จ๐๐๐ก๐๐จ ๐๐๐๐๐๐๐๐ฃ๐ฉ๐ก๐ฎ ๐๐จ ๐๐ฃ๐ค๐ฉ๐๐๐ง.
A few small changes can make a noticeable difference in execution time, resource usage and the readability of your code. In this carousel, we share six practical optimization techniques our consultants regularly apply in real-world data engineering projects, including:
โ๏ธ Reducing unnecessary shuffles
ย โ๏ธ Using broadcast joins effectively
ย โ๏ธ Choosing the right transformations
ย โ๏ธ Making the most of Spark's lazy evaluation
If you're working with Databricks, Spark on Microsoft Azure, Amazon Web Services (AWS) or another platform, these are simple techniques that can help you get more out of your workloads.
๐ ๐ฆ๐๐ถ๐ฝ๐ฒ ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐ต๐ฒ ๐ฐ๐ฎ๐ฟ๐ผ๐๐๐ฒ๐น ๐ฎ๐ป๐ฑ ๐น๐ฒ๐ ๐๐ ๐ธ๐ป๐ผ๐: ๐๐ต๐ถ๐ฐ๐ต ๐ผ๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ต๐ฎ๐ ๐ต๐ฎ๐ฑ ๐๐ต๐ฒ ๐ฏ๐ถ๐ด๐ด๐ฒ๐๐ ๐ถ๐บ๐ฝ๐ฎ๐ฐ๐ ๐ผ๐ป ๐๐ผ๐๐ฟ ๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐ท๐ผ๐ฏ๐?
โป 2
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๐ก๐๐ช ๐๐๐ข๐ ๐ฃ๐ข๐ฆ๐ง: ๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐ ๐๐ฝ๐ฝ๐: ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ฑ๐ฎ๐๐ฎ ๐ฎ๐ฝ๐ฝ๐ ๐ฎ๐ ๐๐ต๐ฒ ๐๐ฝ๐ฒ๐ฒ๐ฑ ๐ผ๐ณ ๐๐ต๐ผ๐๐ด๐ต๐ Haveโฆ
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๐ฐ๐ฒ๐น โ ๐๐ฒ ๐๐ฒ๐๐๐ฒ๐ฑ ๐๐ต๐ฒ ๐ป๐ฒ๐๐น๐ ๐ฟ๐ฒ๐น๐ฒ๐ฎ๐๐ฒ๐ฑโฆ
๐ช๐๐๐ง๐๐ฃ๐๐ฃ๐๐ฅ - ๐๐ฒ๐๐ผ๐ป๐ฑ ๐๐ต๐ฒ ๐ฏ๐๐๐๐๐ผ๐ฟ๐ฑ๐: ๐ต๐ผ๐ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐ฎ ๐ฅ๐๐ ๐ฐ๐ต๐ฎ๐๐ฏ๐ผ๐? Building a chatbot is oneโฆ
A new chapter begins. The same people, the same expertise, now backed by even greater strength together with Amista. ๐ช๐ป
๐ช๐ฒ๐น๐ฐ๐ผ๐บ๐ฒ ๐๐ฒ๐ป๐ป๐ ๐๐ผ! โ
Say hello to our newest Aivix colleague, Benny Ho! With experience helping organizations build modernโฆ