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SQL Streambuilder Data Transformations

Cloudera

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. What is a data transformation?

Data 107
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What is new in Cloudera Streaming Analytics 1.4?

Cloudera

It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Improved Kafka and Schema Registry integration. Flink SQL catalogs are now supported directly on the streambuilder platform allowing easy access to data stored in other systems.

Analytics 100
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The Importance of Distributed Tracing for Apache-Kafka-Based Applications

Confluent

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Cloud 67
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Making API Requests With the Kafka REST Proxy

Instaclustr

Why Use the Kafka REST Proxy. Apache Kafka is known best as a powerful, open source message streaming and queueing solution. Used across more than 80% of the Fortune 500, Kafka is ubiquitous in supporting event-driven architectures. Read Now: Apache Kafka Architecture – The complete guide.

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KSQL Training for Hands-On Learning

Confluent

Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., For a KSQL newbie the practical exercises show you how to process data in Apache Kafka using an interactive SQL interface. streaming insurance events ).

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. Data scientists love Python, period.