IBM Journey to AI blog

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming.

Apache Kafka 100

Apache Kafka EDA SQL Database 100

IBM Journey to AI blog

JANUARY 8, 2024

Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA. They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications.

EDA 92

EDA Apache Kafka Clustering Data Governance 92

Pickl AI

JULY 20, 2023

Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Real-time Data Stream Analysis: Use Python with libraries like Apache Kafka and Apache Spark to process and analyze real-time data streams from sources like Twitter, sensors, or website logs.

Analytics 40

Analytics Analytics Big Data Big Data 40

IBM Journey to AI blog

AUGUST 22, 2024

Event-driven architecture (EDA) has become more crucial for organizations that want to strengthen their competitive advantage through real-time data processing and responsiveness. In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs.

EDA 40

EDA Apache Kafka Clustering 40