Whizlabs

DECEMBER 13, 2020

Enterprises can achieve these outcomes by leveraging analytical systems with capabilities for ingesting big data throughout the value stream. The systems will also support human and machine data alongside relying on different analytics techniques such as NLP, deep learning, and others. Reducing the Dependence on Automation .

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

Astera

JANUARY 2, 2024

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. Adaptability is another important requirement. As businesses grow and evolve, so do their data requirements.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

OCTOBER 27, 2023

The fact that the cloud data warehouse market is expected to reach  $3.5 billion  by 2025 only means that traditional, on-premises data warehouses have increasingly been unable to provide organizations with the speed, scalability, and agility they seek. Dimensional Modeling or Data Vault Modeling? We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

JULY 3, 2024

Unlike data warehouses, data lakes maintain an undefined structure, allowing for flexible data ingestion and storage. This setup supports diverse analytics needs, including big data processing and machine learning.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Data Pine

NOVEMBER 27, 2019

Using online data visualization tools to perform those actions is becoming an invaluable resource to produce relevant insights and create a sustainable decision-making process. That being said, business users require software that is: Easy to use. Agile and flexible. Allows easy handling of a high volume and variety of data.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

APRIL 29, 2024

However, excluding anomalies through data cleaning will allow you to pinpoint genuine peak engagement periods and optimize strategy. Big Data Preprocessing As datasets grow in size and complexity, preprocessing becomes even more critical. Big data has a large volume, is heterogeneous, and needs to be processed rapidly.

Big Data 52

Big Data Retail Healthcare Finance 52