Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. Without data engineering , companies would struggle to analyse information and make informed decisions. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

DECEMBER 4, 2024

Data privacy regulations will shape how organisations handle sensitive information in analytics. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. In retail, customer behaviour analysis informs inventory management and marketing strategies.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 2, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

As organisations grapple with this vast amount of information, understanding the main components of Big Data becomes essential for leveraging its potential effectively. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

AUGUST 9, 2024

Organisations must develop strategies to store and manage this vast amount of information effectively. Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

phData

MAY 15, 2025

Thanks to advancements in cloud technology and significant improvements in computational power, we now have the ability to visualize and analyze data as it is generated, with minimal lag. This incredible capability is known as Real-Time Data Analytics , and it is revolutionizing the way we understand and utilize information.

AWS 59

AWS Analytics Analytics Apache Kafka 59