Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs. It provides a tailored set of data warehouse automation features to meet your specific data requirements.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

JANUARY 2, 2024

Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

APRIL 24, 2024

Best for: Data analysts and businesses needing a robust data aggregation tool. IBM Cloud Pak for Data IBM Cloud Pak for Data is an integrated data and AI platform that aids in removing data silos and improving data security and accessibility.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Data Vault includes mechanisms for data quality control within the centralized data repository, while Data Mesh promotes data product quality through decentralized ownership.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52