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DOCS-1057: Update per CCL license #2274

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2 changes: 1 addition & 1 deletion README.md
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> **Important:** We recently [announced the General Availability](https://www.confluent.io/press-release/confluent-makes-ksql-available-confluent-platform-announces-general-availability/) of KSQL. It will be available for download in early April at http://confluent.io/ksql. Until then you can download the latest KSQL Developer Preview release at https://github.com/confluentinc/ksql/releases.

KSQL is an open source streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time. It supports a wide range of powerful stream processing operations including aggregations, joins, windowing, sessionization, and much more.
KSQL is a streaming SQL engine for Apache Kafka. It provides a simple and completely interactive SQL interface for stream processing on Kafka; no need to write code in a programming language such as Java or Python. KSQL is open-source (Apache 2.0 licensed), distributed, scalable, reliable, and real-time. It supports a wide range of powerful stream processing operations including aggregations, joins, windowing, sessionization, and much more.

Click here to watch a screencast of the KSQL demo on YouTube.
<a href="https://www.youtube.com/watch?v=illEpCOcCVg" target="_blank"><img src="screencast.jpg" alt="KSQL screencast"></a></p>
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2 changes: 1 addition & 1 deletion docs/index.rst
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Expand Up @@ -6,7 +6,7 @@ KSQL
What Is KSQL?
-------------

KSQL is the open source streaming SQL engine for Apache Kafka®. It provides an easy-to-use yet powerful interactive SQL
KSQL is the streaming SQL engine for Apache Kafka®. It provides an easy-to-use yet powerful interactive SQL
interface for stream processing on Kafka, without the need to write code in a programming language such as Java or
Python. KSQL is scalable, elastic, fault-tolerant, and real-time. It supports a wide range of streaming operations,
including data filtering, transformations, aggregations, joins, windowing, and sessionization.
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