Remove Data Engineering Remove ETL Remove Predictive Analytics
article thumbnail

Effective strategies for gathering requirements in your data project

Dataconomy

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

article thumbnail

How Cloud Data Platforms improve Shopfloor Management

Data Science Blog

In the era of Industry 4.0 , linking data from MES (Manufacturing Execution System) with that from ERP, CRM and PLM systems plays an important role in creating integrated monitoring and control of business processes.

professionals

Sign Up for our Newsletter

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

article thumbnail

Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Below, we explore five popular data transformation tools, providing an overview of their features, use cases, strengths, and limitations. Apache Nifi Apache Nifi is an open-source data integration tool that automates system data flow. AWS Glue AWS Glue is a fully managed ETL service provided by Amazon Web Services.

article thumbnail

Differentiation: Microsoft Fabric vs Power BI

Pickl AI

With an estimated market share of 30.03% , Microsoft Fabric is a preferred choice for businesses seeking efficient and scalable data solutions. Definition and Core Components Microsoft Fabric is a unified solution integrating various data services into a single ecosystem. Power BI : Provides dynamic dashboards and reporting tools.

article thumbnail

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities.

AI 74
article thumbnail

What is ThoughtSpot? Everything You Need to Know

phData

ThoughSpot can easily connect to top cloud data platforms such as Snowflake AI Data Cloud , Oracle, SAP HANA, and Google BigQuery. In that case, ThoughtSpot also leverages ELT/ETL tools and Mode, a code-first AI-powered data solution that gives data teams everything they need to go from raw data to the modern BI stack.

article thumbnail

The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

If the event log is your customer’s diary, think of persistent staging as their scrapbook – a place where raw customer data is collected, organized, and kept for future reference. In traditional ETL (Extract, Transform, Load) processes in CDPs, staging areas were often temporary holding pens for data.