Pickl AI

JUNE 8, 2025

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. As we move further into 2025, staying ahead of emerging data science trends is crucial for businesses, professionals, and organizations aiming to leverage data for competitive advantage.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

Pickl AI

JUNE 5, 2025

Summary: In 2025, data scientists in India will be vital for data-driven decision-making across industries. Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Big Data: Apache Hadoop, Apache Spark.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

DECEMBER 2, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters. Introduction In today’s digital age, the volume of data generated is staggering.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Processing frameworks like Hadoop enable efficient data analysis across clusters. Introduction In today’s digital age, the volume of data generated is staggering.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 4, 2024

from 2025 to 2030. Several tools and technologies are commonly used to manage data pipelines: Apache Airflow: This open-source platform allows users to author, schedule, and monitor workflows programmatically. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52