Remove Analytics Application Remove Data Ingestion Remove Kafka
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Benchmarking Elasticsearch and Rockset: Rockset achieves up to 4X faster streaming data ingestion

Rockset

To find out, we decided to test the streaming ingestion performance of Rockset’s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

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Handling Out-of-Order Data in Real-Time Analytics Applications

Rockset

Explosion in Streaming Data Before Kafka, Spark and Flink, streaming came in two flavors: Business Event Processing (BEP) and Complex Event Processing (CEP). Many (Kafka, Spark and Flink) were open source. It also prevents data bloat that would hamper storage efficiency and query speeds.

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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.

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Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you are struggling with Data Engineering projects for beginners, then Data Engineer Bootcamp is for you. Some simple beginner Data Engineer projects that might help you go forward professionally are provided below. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

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What is AWS Kinesis (Amazon Kinesis Data Streams)?

Edureka

Current and up-to-date data helps enhance the efficiency of services, improve customer experiences, and drive innovation. Data Ingestion Data from different streams, such as applications, sensors, etc., The suite of services available with Amazon Kinesis supports many real-time data processing applications.

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Joining Streaming and Historical Data for Real-Time Analytics: Your Options With Snowflake, Snowpipe and Rockset

Rockset

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. The historical data would be stored in Snowflake and brought into Rockset for analysis using the connector.

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