azeem jainulabdeeninAWS TipDifferent data types in Amazon S3When storing and processing different data types in Amazon S3, the data is typically stored in file formats such as CSV, Parquet, JSON…5d ago5d ago
HemaAWS AthenaHandling large datasets can feel overwhelming, especially when you’re faced with endless rows of data and complex information. At our…Sep 10Sep 10
Judy HuanginJudy’s aws sharing使用AWS Athena撈取s3資料如果我們需要從s3撈資料出來看，除了可以用S3提供的query之外，還可以選擇使用Athena。為什麼不直接使用S3提供的query呢？S3提供的query較不彈性，使用者無法自己定義欄位名稱。Sep 4Sep 4
azeem jainulabdeenOnce the data is stored in S3, can we query directly without using Athena?once data is stored in Amazon S3, there are several ways to query it directly, with or without Amazon Athena. Here are some of the options:Aug 28Aug 28
ALEPHIUM INDONESIASemua Presentasi di Pertemuan Athena!Jika Anda tidak dapat hadir… Bukan berarti Anda tidak dapat menyaksikan presentasinya! Temukan semuanya di sini dan saksikan sesuai…Aug 19Aug 19
ANKITStreamline Your Data Pipeline: CSV to Parquet Transformation with AWS GlueData management and analysis can often feel like a puzzle, especially when dealing with large datasets. Thankfully, AWS provides a suite of…Aug 17Aug 17
azeem jainulabdeeninTowards DevFederated Queries in Amazon Redshift and AthenaFederated queries in Amazon Redshift and Amazon Athena allow you to query data across different data sources, including relational…Aug 9Aug 9
