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The main content of this article is to explain "what is SQL Stream Builder". Interested friends may wish to take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what SQL Stream Builder is.

What is SQL Stream Builder?

Cloudera's SQL Stream Builder now enhances the powerful stream processing capabilities of Cloudera's data flow platform (CDF). It provides a smooth user interface for writing SQL queries to run against real-time data streams in Apache Kafka or Apache Flink. This allows developers, data analysts, and data scientists to write streaming applications using only SQL. They no longer need to rely on any skilled Java or Scala developers to write special programs to access these data streams.

SQL Stream Builder runs SQL continuously through Flink. It provides syntax checking, error reporting, pattern detection, query creation, sampling results, and creating output through a simple and intuitive user interface. It also provides an advanced materialized view engine that allows other applications to access real-time aggregated datasets through a simple REST API.

Data attenuation

Yes, the data has an expiration date. In today's business environment, the data you receive must be processed immediately to understand the business impact and take action. If you can only get all the data in real time, but can't take advantage of what the data means to you, then the flow analysis solution is not good. Imagine a manufacturer receiving a data stream with millions of messages from a dozen or more of its manufacturing plants every day. If they need to know where a particular surge of the flow is coming from, or if they need to detect specific exceptions in the flow, they should be able to query the flow in real time. They can't afford to send it all to the data store, and then analyze it the next day to find viable insights. The data had no value the next day. To perform such real-time queries, these skills are usually mastered by a small number of people in your organization who have unique skills such as Scala or Java, and can write code to gain this insight. This is not an extensible model.

SQL is a universal language.

Over the past three decades, SQL has become an accepted method of querying across multiple database systems. SQL is also one of the most popular skills among key enterprise data roles. Because data analysts and data scientists are trying to easily gain access to real-time data streams, SQL has become an easy choice to accomplish this task. But this is a key challenge. Unlike database tables that typically have a fixed number of rows at any given point in time, streams are unrestricted. This means that they are essentially continuous and unrestricted. And they don't enter in order. Some messages may also be late or malfunction. This makes it challenging to use SQL as-is query data streams.

Streaming SQL

The data flow must be processed using a tiny time slice called a window, for example, for 5 seconds. Each message on the stream also has a timestamp that can be used to detect the order in which the message should be processed. Therefore, using SQL as the basic construct, some other keywords have been added to process the data flow in the context of the time window. Hence the birth of Streaming SQL or Continuous SQL. They look and function like regular SQL, but you have many other constructs that you can use to group streams within a specific time frame. It also supports a range of aggregation functions so that you can perform various extension tasks such as finding averages, sums, counting, and so on. This immediately allows data analysts and data scientists in your organization to query data streams using SQL! This is what we call the democratization of real-time data within an organization.

Why are you excited about SQL Stream Builder?

Release access to real-time data for all user roles-data analysts and data scientists can use SQL Stream Builder themselves to run ad hoc queries using SQL

Simplifies the process of building streaming applications-SQL Stream Builder provides an interactive user interface that supports streaming SQL. This allows the user to run continuous queries against the data stream within a specific time window. You can also join multiple data streams and perform aggregation.

Expose the aggregated data flow to other applications-SQL Stream Builder allows you to create materialized views that can be easily exposed to other applications through REST API. This again releases the values locked in the real-time data stream to more applications across the enterprise.

Accelerate queries with minimal impact on the core system-the real function of SQL Stream Builder is in its underlying engine, which enables these queries to execute very quickly without burdening the core system that holds such data streams, for example, the Kafka agent stores the data streams in the topic.

If you want to learn more about continuous SQL, please download our new white paper. Or, if you want to know more about SQL Stream Builder, please download our technical brief or data sheet.

At this point, I believe you have a deeper understanding of "what SQL Stream Builder is", might as well come to the actual operation of it! Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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