Smart Data Collective

OCTOBER 17, 2022

Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage. There are a number of challenges in data storage , which data pipelines can help address. Choosing the right data pipeline solution.

Data Pipeline 145

Data Pipeline Data Warehouse ETL Data Lakes 145

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. The raw data can be fed into a database or data warehouse. An analyst can examine the data using business intelligence tools to derive useful information. .

Database 130

Database Data Visualization Big Data Big Data 130

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

phData

OCTOBER 27, 2023

KNIME Analytics Platform: A Brief Introduction KNIME is an open-source data analytics, reporting, and integration platform that integrates various machine learning and data mining components. In data analysis, loops are indispensable. Mastering loops is a crucial step towards practical data analysis.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Pickl AI

MARCH 7, 2024

Applications: It is commonly used for data cleaning, exploration, and prototyping of machine learning models, enabling interactive and collaborative data analysis workflows. Scikit-learn Functionality: Scikit-learn is a simple and efficient tool for data mining and analysis, built on NumPy, SciPy, and matplotlib.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

DagsHub

APRIL 21, 2024

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. Pipeline Orchestration Tools To handle the end-to-end workflow orchestration, you can use famous tools like Apache Airflow and Kubeflow Pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59