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Clean up website docs for Samza 1.0 release
- Fix titles for blog posts - Fix a rendering issue with hyperlinks on the front-page - Add links from homepage sections to relevant documentation pages Author: Jagadish <jvenkatraman@linkedin.com> Reviewers: Jagadish<jagadish@apache.org> Closes apache#749 from vjagadish1989/website-reorg21
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‎docs/_blog/2018-07-19-stream_processing-meetup-summary.md‎

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layout: blog
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title: Recap of Stream Processing with Apache Kafka & Apache Samza (July '18)
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title: Our July 2018 meetup - A Report
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icon: analytics
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limitations under the License.
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A look back at July edition of quarterly stream processing meetup
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On July 19, 2018, we hosted a community meetup at LinkedIn focussing on Apache Kafka, Apache Samza, and related streaming technologies.
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The event featured technical deep dives by engineers from LinkedIn and Uber on the latest in the stream processing space...
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On July 19th another successful stream processing meetup was hosted by LinkedIn!
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This event focused on Apache Kafka, Apache Samza, and related streaming technologies.
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This meetup was a full house and had techincal deep dives by engineers from LinkedIn and Uber on the latest
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and greatest in streaming tech
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<br>
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July 2018 - On July 19, 2018, we hosted a community meetup at LinkedIn focussing on Apache Kafka, Apache Samza, and related streaming technologies.
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The event featured technical deep dives by engineers from LinkedIn and Uber on the latest in the stream processing space. Here is a brief summary
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of the talks that were presented.
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### [Beam me up Samza: How we built a Samza Runner for Apache Beam](https://youtu.be/o5GaifLoZho)
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‎docs/_blog/2018-09-26-stangeloop-recap.md‎

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title: Recap of Chasing Stream Processing Utopia
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title: On chasing the Stream Processing Utopia
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Licensed to the Apache Software Foundation (ASF) under one or more

‎docs/_case-studies/optimizely.md‎

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hide_title: true # so we have control in case-study layout, but can still use page
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title: Real Time Session Aggregation
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title: On using Samza at Optimizely to compute analytics over session windows.
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limitations under the License.
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Real Time Session Aggregation
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On using Samza at Optimizely to compute analytics over session windows
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‎docs/_layouts/default.html‎

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High performance
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</div>
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<div class="section__item-features">
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<div class="section__item-feature">Samza provides extremely low latencies and high throughput to analyze your data instantly</div>
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<div class="section__item-feature">Samza provides extremely low latencies and <a href="https://engineering.linkedin.com/performance/benchmarking-apache-samza-12-million-messages-second-single-node">high throughput</a> to analyze your data instantly</div>
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</div>
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Horizontally scalable
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<div class="section__item-features">
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<div class="section__item-feature">Scales to several terabytes of state with features like incremental checkpoints and host-affinity</div>
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<div class="section__item-feature">Scales to several terabytes of state with features like incremental checkpoints and <a href="/learn/documentation/latest/architecture/architecture-overview.html#host-affinity">host-affinity</a></div>
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</div>
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</div>
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Easy to Operate
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<div class="section__item-features">
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<div class="section__item-feature">Samza is easy to operate with flexible deployment options - YARN, Kubernetes or standalone</div>
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<div class="section__item-feature">Samza is easy to operate with <a href="/learn/documentation/latest/deployment/deployment-model.html">flexible</a> deployment options - YARN, Kubernetes or standalone</div>
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Powerful APIs
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<div class="section__item-features">
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<div class="section__item-feature">Rich APIs to build your applications: Choose from low-level, Streams DSL, Samza SQL and Apache BEAM APIs</div>
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<div class="section__item-feature">Rich APIs to build your applications: Choose from <a href="/learn/documentation/latest/api/low-level-api.html">low-level </a>, <a href="/learn/documentation/latest/api/high-level-api.html">Streams DSL </a>, <a href="/learn/documentation/latest/api/samza-sql.html">Samza SQL</a> and Apache BEAM APIs</div>
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</div>
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Pluggable architecture
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<div class="section__item-features">
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<div class="section__item-feature">Integrates with several sources including Kafka, HDFS, AWS Kinesis, Azure Eventhubs, K-V stores and ElasticSearch</div>
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<div class="section__item-feature">Integrates with several sources including <a href="/learn/documentation/latest/connectors/kafka.html">Kafka</a>, <a href="/learn/documentation/latest/connectors/hdfs.html">HDFS</a>, <a href="/learn/documentation/latest/connectors/kinesis.html">AWS Kinesis</a>, <a href="/learn/documentation/latest/connectors/eventhubs.html">Azure Eventhubs</a>, K-V stores and ElasticSearch</div>
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‎docs/css/main.new.css‎

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