Smart Data Collective

OCTOBER 28, 2019

Big data has given birth to a number of new applications. Big data isn’t just useful for developing new applications. The number of developers using big data is going to continue rising in the future, since there will be 3.8 billion smartphone users in 2021. Big data can simplify this process.

Big Data 85

Big Data Big Data Data Mining Data Mining 85

Smart Data Collective

AUGUST 26, 2021

In this blog, we’ll delve deeper into the impact of data analytics on weather forecasting and find out whether it’s worth the hype. Weather Forecasting in 2021: A Closer Look. Whether you’re using a specialized app that’s been specifically designed for your industry or a generic weather app, it uses an API to access weather data.

Analytics 133

Analytics Analytics Big Data Analytics Big Data Analytics 133

Pickl AI

JUNE 8, 2025

Explosion of Internet of Things (IoT) Data The proliferation of IoT devices is generating unprecedented volumes of real-time data. Analysts predict over 27 billion IoT devices worldwide by 2025, nearly doubling the count from 2021. This trend is particularly impactful in industries requiring rapid, data-driven decision-making.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Smart Data Collective

MARCH 28, 2022

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. You can use a Hadoop interface to find the information that you need when you gain access to these reports.

Data Mining 116

Data Mining Data Mining Data Mining Analytics 116

phData

NOVEMBER 8, 2024

For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in big data environments, where unnecessary scans can significantly drain resources.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global data integration market was valued at USD 11.6

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

DECEMBER 19, 2023

billion in 2021 to $331.2 Data Engineer Data engineers are responsible for the end-to-end process of collecting, storing, and processing data. They use their knowledge of data warehousing, data lakes, and big data technologies to build and maintain data pipelines. billion by 2026.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96