AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

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. Ingest and analyze PySpark code In this section, we analyze the PySpark code that we use to perform data quality checks and send the results to Amazon DataZone.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

AWS Big Data

SEPTEMBER 13, 2023

Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls. Operational data processing framework The operational data processing (ODP) framework contains three components: File Manager, File Processor, and Configuration Manager. parquet will be downloaded to your computer.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

Cloudera

JULY 9, 2019

But while cloud plays a significant role in infrastructure, storage, data capture, and data processing in today’s business environment, each organization needs to clearly define its business needs first. Data can reveal many things about your customers, including what they buy, what they think, and what they respond to.

Big Data 78

Big Data Management Snapshot Enterprise 78

AWS Big Data

JUNE 21, 2023

A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Upload the stack and choose Next.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80