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Level up your Kafka applications with schemas

IBM Journey to AI blog

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. What’s next?

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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Journey to AI blog

They often use Apache Kafka as an open technology and the de facto standard for accessing events from a various core systems and applications. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise.

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How data engineers tame Big Data?

Dataconomy

Solutions for managing and processing high velocity data Data engineers can use various solutions to manage and process high-speed data streams. Some of these solutions include: Stream processing: Stream processing systems, such as Apache Kafka and Apache Flink, can help process high-speed data streams in real-time.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?

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A Comprehensive Guide to the main components of Big Data

Pickl AI

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data? How Does Big Data Ensure Data Quality?

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data? How Does Big Data Ensure Data Quality?

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What is a Hadoop Cluster?

Pickl AI

Data Governance and Security Hadoop clusters often handle sensitive data, making data governance and security a significant concern. Ensuring compliance with regulations such as GDPR or HIPAA requires implementing robust security measures, including data encryption, access controls, and auditing capabilities.

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