Business Intelligence Data Processing Metadata Snapshot 
AWS Big Data
OCTOBER 3, 2023
Amazon S3 allows you to access diverse data sets, build business intelligence dashboards, and accelerate the consumption of data by adopting a modern data architecture or data mesh pattern on Amazon Web Services (AWS). In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.
AWS Big Data
NOVEMBER 16, 2023
Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
AWS Big Data
MARCH 10, 2023
One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Data can be organized into three different zones, as shown in the following figure.
AWS Big Data
OCTOBER 11, 2023
Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting.
AWS Big Data
JULY 20, 2023
This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK). This data is then used by various applications for streaming analytics, business intelligence, and reporting. Amazon SageMaker is used to build, train, and deploy a range of ML models.
Expert insights. Personalized for you.
105 
Let's personalize your content