Dataconomy

JUNE 10, 2025

Retail analytics In retail, analytics forecast consumer behavior, optimizing inventory and sales strategies based on data-driven insights. Machine learning Machine learning implements algorithms that automate data analysis processes, enhancing the speed and accuracy of insights.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Read more to know.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JUNE 5, 2025

In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors. They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Women in Big Data

OCTOBER 9, 2024

Data Processing (Preparation): Ingested data undergoes processing to ensure it’s suitable for storage and analysis. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

AWS Machine Learning Blog

MAY 16, 2024

With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster. We hope this post will help you configure your MLOps environment and provide real-time services using AWS services.

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AWS ML ML Deep Learning 128