Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This contextualization is possible thanks to RAG.

Management 78

Management Metrics Data Processing Data Lake 78

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The system had an integration with legacy backend services that were all hosted on premises.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

JULY 29, 2022

Zarraga, who had a clear picture of Capital Group’s commitment to its employees as early as her interview process before joining the firm, attributes Capital Group’s success with employee satisfaction in significant measure to its focus on career growth. The bootcamp broadened my understanding of key concepts in data engineering.

Data Lake 79

Data Lake Software Data Processing Structured Data 79

AWS Big Data

MARCH 26, 2024

Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Let’s find out what role each of these components play in the context of C360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87