Precisely

JULY 31, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Knowledge Hut

MARCH 26, 2024

Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms. Develop data integration and ETL processes to ensure data quality, consistency, and integrity.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

Knowledge Hut

APRIL 25, 2024

As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever. Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Food 52

Food Consulting Pharmaceutical Manufacturing 52

AltexSoft

MAY 12, 2023

Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Unstructured data storage solutions must ensure data durability (protection against data loss) and availability (ensuring data is accessible when needed).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Databand.ai

JANUARY 24, 2023

DataOps helps solve this challenge by democratizing access to data for users of all kinds, particularly when it comes to answering data-related questions efficiently and effectively via self-service. DataOps is based on principles from the Agile methodology, DevOps, and lean manufacturing. What are the Elements of DataOps?

Retail 52

Retail Banking Government Manufacturing 52