article thumbnail

Less is More: The Benefits of Streamlining Your Data Integration Workflow

Datavail

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40
article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Optimizing Connected Logistics Operations with Data Analytics

Trigent

Experts unanimously agree data analytics is here to stay, considering 98% of 3PLs and 93% of shippers believe in having data-driven decision-making capabilities to manage supply chain activities. In comparison, 71% of 3PLs think process quality and performance can be significantly improved with the help of big data.

article thumbnail

Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. Data siloes. Lack of skilled experts.

article thumbnail

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

article thumbnail

Chief Digital Officer: Role, Responsibilities, Skills, and When Organizations Need One

Altexsoft

It’s also a CDO’s job to integrate all relevant digital initiatives with the strategic-planning process for leadership commitment, appropriate allocation of resources, and execution according to the plan. Work with other teams to build and manage a digital ecosystem. CDO hard skills and qualifications. Business acumen.

CTO 52