AWS Big Data

JULY 26, 2023

You can use your preferred IDE to implement AWS resource definition using the AWS Cloud Development Kit (AWS CDK) or AWS CloudFormation , and also the business logic of AWS Glue job scripts for data integration. To learn more about how to implement your AWS Glue job scripts locally, refer to Develop and test AWS Glue version 3.0

Data Integration 69

Data Integration Snapshot Testing Visualization 69

AWS Big Data

MARCH 16, 2023

A source of unpredictable workloads is dbt Cloud , which SafetyCulture uses to manage data transformations in the form of models. Refer to Managing Amazon Redshift Serverless using the console for setup steps. We create a datashare called prod_datashare to allow the serverless instance access to data in the provisioned cluster.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

JANUARY 17, 2024

By preserving historical versions, data lake time travel provides benefits such as auditing and compliance, data recovery and rollback, reproducible analysis, and data exploration at different points in time. Another popular transaction data lake use case is incremental query. You can now follow the steps in the notebook.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89

AWS Big Data

APRIL 27, 2023

It supports modern analytical data lake operations such as create table as select (CTAS), upsert and merge, and time travel queries. Athena also supports the ability to create views and perform VACUUM (snapshot expiration) on Apache Iceberg tables to optimize storage and performance.

Data Lake 70

Data Lake Snapshot Optimization Data Transformation 70

AWS Big Data

OCTOBER 11, 2023

Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources. Data transformations through stored procedures and use of materialized views to curate datasets and generate insights is a known pattern with relational databases.

Management 101

Management Metadata Analytics Dashboards 101

O'Reilly on Data

OCTOBER 19, 2021

but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Adapted from the book Effective Data Science Infrastructure. To manage the dynamism, we can resort to taking snapshots that represent immutable points in time: of models, of data, of code, and of internal state.

IT 346

IT Testing Experimentation Software 346

AWS Big Data

MARCH 3, 2023

Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9

Data Lake 79

Data Lake Dashboards Metrics Metadata 79