AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. For instructions, refer to Amazon DataZone quickstart with AWS Glue data. To learn more about Amazon DataZone, refer to the Amazon DataZone User Guide.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more. Are problems with data tests?

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Clustering data for better data colocation using z-ordering.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

MARCH 28, 2024

We also decided to use Amazon EMR managed scaling to scale the core and task nodes (for scaling scenarios, refer to Node allocation scenarios ). He is also the author of the book Simplify Big Data Analytics with Amazon EMR. GB with a p99 of 491 seconds (approximately 8 minutes).

Optimization 81

Optimization IT Big Data Data Processing 81

AWS Big Data

MARCH 28, 2023

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. The dataset represents employee details such as ID, name, address, phone number, contractor or not, and more. You can also maintain the delta table by compacting the small files.

Data Lake 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

OCTOBER 18, 2023

To create it, refer to Tutorial: Get started with Amazon EC2 Windows instances. To download and install AWS SCT on the EC2 instance that you created, refer to Installing, verifying, and updating AWS SCT. For more information about bucket names, refer to Bucket naming rules. Deselect Create final snapshot.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

MARCH 3, 2023

Incremental data is generated in the PostgreSQL table by running custom SQL scripts. 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. with Apache Spark version 3.3.0)

Data Lake 86

Data Lake Dashboards Metrics Metadata 86