IBM Journey to AI blog

SEPTEMBER 4, 2024

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

Apache Kafka 59

Apache Kafka Internet of Things Data Pipeline Clustering 59

Pickl AI

SEPTEMBER 18, 2024

Data at Rest This includes storage solutions such as S3 Data Warehouse and Cassandra. These systems handle the storage costs associated with keeping vast amounts of content and user data. The platform employs Big Data analytics to monitor user interactions in real time.

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Real-time processing allows organisations to make timely decisions based on current data rather than relying on historical information.Technologies enabling real-time analytics include: Stream Processing Frameworks: Tools like Apache Kafka facilitate the continuous ingestion and processing of streaming data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

AUGUST 9, 2024

Additionally, students should grasp the significance of Big Data in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of Big Data analytics on business strategies and decision-making processes is also vital.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Data Science Blog

JUNE 27, 2023

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Pickl AI

NOVEMBER 25, 2024

It allows organisations to make timely decisions based on current data rather than relying on historical information.Technologies enabling real-time analytics include: Stream Processing Frameworks: Tools like Apache Kafka facilitate the continuous ingestion and processing of streaming data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 20, 2023

Defining clear objectives and selecting appropriate techniques to extract valuable insights from the data is essential. Here are some project ideas suitable for students interested in big data analytics with Python: 1. Implement real-time analytics to monitor trends or anomalies in the data.

Analytics 40

Analytics Analytics Big Data Big Data 40