datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

JULY 25, 2023

For Host , enter the Redshift Serverless endpoint’s host URL. Follow security best practices by using a strong password policy and regular password rotation to reduce the risk of password-based attacks or exploits. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

datapine

SEPTEMBER 29, 2022

Data processes that depended upon the previously defective data will likely need to be re-initiated, especially if their functioning was at risk or compromised by the defected data. This is also the point where data quality rules should be reviewed again. A metric to evaluate timeliness is the data time-to-value.

Data Quality 241

Data Quality Metrics Data-driven Management 241