Współpracował z największymi instytucjami finansowymi w Polsce, zajmując się architekturą i tworząc zaawansowane systemy przetwarzania danych. W swoim dorobku posiada wiele projektów z obszaru Fintech, Machine Learning czy AI z wykorzystaniem technologii tj. Amazon Web Services, Microsoft Azure, czy Alibaba Cloud. Trener Szkoły Chmury. Prywatnie bloger, tancerz i “głowa rodziny”.
💡 Big data, Machine Learning, Data Science, Data Warehouse... To nie tylko buzzwordy, ale rozwiązania przynoszące wymierne korzyści organizacjom. Z Piotrem, który ma na swoim koncie wiele projektów w tych technologiach próbowaliśmy nieco odczarować te pojęcia przytaczając doświadczenia mojego Gościa z pracy z nowoczesnymi hurtowniami danych.
Materiały i linki:
▪️Zerknijcie na Instagram Piotrka -> https://www.instagram.com/piotrkalinowski_dev/
▪️ Azure Synapse Analytics -> https://azure.microsoft.com/en-us/services/synapse-analytics/
▪️ Redshift -> https://aws.amazon.com/redshift/
▪️ ETL -> https://pl.wikipedia.org/wiki/ETL
▪️ ELT -> https://en.wikipedia.org/wiki/Extract,_load,_transform
▪️ Apache Spark -> https://spark.apache.org/
▪️ Polecany kanał YouTube dot. Databricks -> https://www.youtube.com/c/AdvancingAnalytics
▪️ Polecany serwis Silicon Angle -> https://siliconangle.com
▪️ Mini kurs mailowy Piotra nt. Apache Spark -> https://piotrkalinowski.dev/spark/
Pozdrawiam,
Krzysztof Kopieczek - znajdziesz mnie TT @kopieczek_dev oraz na LinkedIn
Miłego słuchania!
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