Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. How Does a Data Governance Program Work?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MARCH 11, 2024

This is facilitated by the automatic handling of indexing and optimization, which removes the traditional administrative overhead associated with managing a data warehouse. The open-source nature of Apache Airflow allows you to leverage a vast community and extensive documentation for setup, troubleshooting, and support.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

OCTOBER 12, 2023

Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators. Data Monitoring: The solution provides users with visibility into the data set to detect and identify any discrepancies.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

JANUARY 24, 2024

Approach: Depending on their use case and requirements, organizations set up different change data capture approaches. Common methods include the log-based approach which involves monitoring the database transaction log to identify changes, and trigger-based CDC where certain triggers are used to capture changes.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Marutitech

OCTOBER 8, 2021

The contextual analysis of identifying information helps businesses understand their customers’ social sentiment by monitoring online conversations. . As customers express their reviews and thoughts about the brand more openly than ever before, sentiment analysis has become a powerful tool to monitor and understand online conversations.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Astera

OCTOBER 27, 2023

It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval. It includes key elements and their interactions, ensuring efficient data processing, storage, integration, and retrieval. Evaluate factors such as response times and the availability of support plans.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52