Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. AWS Lake Formation architecture.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Measuring and reporting to management on data quality assessment results and ongoing data quality improvement. Documenting the ROI of data quality activities.

Tools 16

Tools Data Technical Advisors Technical Review 16

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. Datavail suggested that the client focus on Fivetran while also adopting a new tool, AWS Glue, which was better suited for its needs. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40