Remove 2002 Remove Big Data Remove Data Lake
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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

Now upload the files for transaction sold on 2002-12-31. Let’s run a query to get the daily total of sales transactions across all the stores in the US: SELECT ss_sold_date_sk, count(1) FROM store_sales GROUP BY ss_sold_date_sk; The output shown comes from the transactions sold on 2002-12-31.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

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Data Virtualization is the CDO’s Best Friend

Data Virtualization

According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002, and since then the role has become widespread, driven by the recent explosion of big data. The CDO role has a variety of.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2002: Microsoft launches the.NET initiative. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. 1998: Google comes into existence.

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Fine-grained access control in Amazon EMR Serverless with AWS Lake Formation

AWS Big Data

AWS is introducing general availability of fine-grained access control based on AWS Lake Formation for Amazon EMR Serverless on Amazon EMR 7.2. Enterprises can now significantly enhance their data governance and security frameworks. For instructions, refer to Create a data lake administrator.