Rockset

MARCH 22, 2022

In this post, we’ll talk through two technologies that implement these techniques: ksqlDB (earlier releases were known as KSQL or Kafka SQL), which provides streaming analytics, and Rockset , a real-time analytics database. We’ll dive into the pros and cons of each approach so you can decide which is right for you.

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Database Kafka Transportation Unstructured Data 52

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. To accomplish this we can use Kafka streams and KSQL.

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Kafka Database Process SQL 40

Confluent

NOVEMBER 20, 2019

Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB. Like KSQL, ksqlDB remains freely available and community licensed, and you can […].

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IT Process Management 111

Confluent

MARCH 26, 2019

We will cover Kafka clients, Kafka Streams applications, Kafka Connect pipelines and KSQL. On the other side, several consumers will subscribe to these events: A Kafka sink connector for JDBC will send tweets downstream to a Postgres database, and a KSQL application will process records further. Tracing for KSQL.

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Kafka Transportation Metadata Consulting 111

Confluent

MAY 13, 2019

Not only that, as we had previously promised, we are also introducing three of the most popular components of Confluent Platform as fully managed services: Confluent Schema Registry, the Kafka S3 sink connector, and Confluent KSQL. Fully managed Schema Registry, Kafka S3 sink connector, and KSQL in Confluent Cloud. per GB per month.

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Jesse Anderson

JANUARY 9, 2023

The announcement covers that by saying, “of course we continue to invest in […] KSQL.” The Future of ksqlDB and Kafka Streams With this announcement, the future of primarily ksqlDB and, to a lesser extent, Kafka Streams comes into view. I think it’s quite telling that even the announcement doesn’t get ksqlDB’s name right.

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Kafka Coding Technology SQL 147

Confluent

APRIL 18, 2019

Second, it provides key frameworks and APIs like Kafka Connect, KSQL and Kafka Streams to build an entirely new class of applications incorporating both real-time and stored data. BAADER processes and analyzes events with KSQL, then leverages connectors to visualize the results with Elasticsearch and Kibana.

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Food Cloud Retail Kafka 83

Confluent

JULY 10, 2019

KSQL user-defined functions. KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output.

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Kafka Java Bytes SQL 87

Data Engineering Podcast

NOVEMBER 11, 2018

Links Upsolver Data Lake Israeli Army Data Warehouse Data Engineering Podcast Episode About Data Curation Three Vs Kafka Spark Presto Drill Spot Instances Object Storage Cassandra Redis Latency Avro Parquet ORC Data Engineering Podcast Episode About Data Serialization Formats SSTables Run Length Encoding CSV (Comma Separated Values) Protocol Buffers (..)

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Data Engineering Weekly

NOVEMBER 26, 2023

” Confluent, the company behind Kafka, Kafka Stream, and KSQL, launched Flink as a Service on its cloud product. It is one of the less tracked patterns, but if you noticed deeply, a fleet of companies are offering “Flink as a Service.” However, I believe there is tons of innovation left on the streaming side of it.

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Data Engineering Data Engineer Engineering Kafka 70

Confluent

FEBRUARY 20, 2019

The Exciting Frontier of Custom KSQL Functions, by Mitch Seymour (Mailchimp). When to KSQL & When to Live the KStream, by Dani Traphagen (Confluent). A three-day course on KSQL and Kafka Streams starting on Wednesday, April 3. From Zero to Hero with Kafka Connect, by Robin Moffat (Confluent).

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Kafka Programming Architecture Technology 66

Data Engineering Podcast

MARCH 2, 2020

Contact Info @michaeldrogalis on Twitter michaeldrogalis on GitHub LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

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Kafka Process PostgreSQL MySQL 100

Data Engineering Podcast

JULY 6, 2020

Babylon Health DevOps DataOps GitOps Apache Calcite kSQL Kafka Connect Query Language Apache Flink Podcast Episode Apache Spark Podcast Episode Apache Pulsar Podcast Episode StreamNative Episode Playtika Riskfuel(?)

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Systems Kafka SQL Government 100

Confluent

APRIL 10, 2019

Operators can manage those clusters, view topic data and schemas and run KSQL queries against data streams. First and foremost, Confluent Control Center can manage multi-datacenter Apache Kafka ® deployments, whether on prem or in the cloud. It’s not just a data swamp of hundreds of metrics—it is information you can act on.

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Kafka Metadata Java Cloud 86

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss the challenges we faced developing, building, and deploying the KSQL portion of our application and how we used Gradle to address them. KSQL primer.

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Kafka Management Bytes SQL 95

Confluent

DECEMBER 23, 2019

When KSQL was released, my first blog post about it showed how to use KSQL with Twitter data. Two years later, its successor ksqlDB was born, which we announced this […].

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Data IT PostgreSQL Process 28

Confluent

MAY 15, 2019

So we chose to use the Confluent Platform and specifically KSQL to curate our streams of data. Enter KSQL…and Kafka Streams. As KSQL uses Kafka Streams under the hood—and both use Kafka topics and Kafka offset management as the interface between processes—the integration was seamless. KSQL in a DevOps world.

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Kafka ETL Tools Cloud Data Integration 91

Striim

JANUARY 4, 2023

Data contract fulfillment using stream processing jobs (using KSQL, for example) to process CDC events and output a schema that matches the previously-defined data contract. In their example, they use Docker compose to spin up a test instance of their database, a CDC pipeline (using Debezium), Kafka, and the Confluent Schema Registry.

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PostgreSQL Data Warehouse Data Lake Data 52

Confluent

MAY 8, 2019

In anything but the smallest deployment of Apache Kafka ® , there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect is used for building event streaming data pipelines between upstream and downstream systems with Kafka, and KSQL is used for building stream processing applications declared in a SQL-like language.

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Kafka Management Hadoop Database 87

Confluent

MAY 1, 2019

That was the reason we created KSQL which has now become one of the most popular tools in the Kafka ecosystem. The underlying approach of continuously updated views on streaming data matched our vision of how developers build summarizations and joins on event streams with KSQL.

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Kafka Datasets Database Technology 21

Rockset

APRIL 26, 2023

Joining data : There are many ways to join streaming data to historical data: ksql, denormalization, ETL jobs, etc. Rockset has the ability to spin up dedicated compute for ingestion and querying, eliminating compute contention. With Rockset, you can achieve ~1 second ingest latency and millisecond-latency SQL queries.

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Architecture Transportation Data Lake Insurance 52

Confluent

OCTOBER 9, 2019

Based on the votes of Summit attendees from within the Kafka Summit mobile app, here are the top-rated talks: Building Stream Processing Applications with Apache Kafka Using KSQL by Robin Moffatt of Confluent. KSQL Performance Tuning for Fun and Profit by Nick Dearden of Confluent. Why Stop the World When You Can Change It?

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Kafka Software Engineer Software Engineering Data Pipeline 17

Confluent

AUGUST 6, 2019

One of KSQL’s most powerful features is allowing users to build their own KSQL functions for processing real-time streams of data. The previous blog post How to Build a UDF and/or UDAF in KSQL 5.0 discussed some key steps for building and deploying a custom KSQL UDF/UDAF. DarchetypeArtifactId=ksql-udf-quickstart.

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Kafka Java Coding Project 17

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

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Data Analysis Kafka Datasets Java 21

Confluent

OCTOBER 4, 2019

Before beginning verification, some of you may be wondering about the rest of the Confluent Platform, such as Schema Registry, KSQL, Control Center, etc. For more, check out Kafka Tutorials and find full code examples using Kafka, Kafka Streams, and KSQL. Based on the steps you just went through, I suspect you already know the answer.

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Kafka Accessible Accessibility Engineering 16

Confluent

SEPTEMBER 26, 2019

Among these are Confluent Schema Registry , which ensures the right message structure, and KSQL for continuous stream processing on data streams, such as filtering, transformations, and aggregations using simple SQL commands. Kafka’s ecosystem also includes other valuable components, which are used in most mission-critical projects.

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Kafka BI SQL Datasets 21

Confluent

AUGUST 13, 2019

We’re offering more options this year too, including Introductory Tutorial, Developer Learning, KSQL & Kafka Streams, Operations Training, and Advanced Kafka Optimization. Whether you’re new to Kafka or an experienced user, there will be a hands-on training likely to match your needs. Get it, PR? Okay, just workshopping here.).

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Kafka Electronics Food Recruitment 19

Confluent

MARCH 13, 2019

This can be seen from the metrics: It can also be seen from inspecting the topic itself: ksql> LIST TOPICS; Kafka Topic | Registered | Partitions | Partition Replicas | Consumers | ConsumerGroups. You can use any consumer tool to examine the messages on the dead letter queue (we used KSQL above for this).

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Kafka Bytes Metadata NoSQL 111

Confluent

JUNE 26, 2019

This blog post discusses why Apache Kafka became the de facto standard and backbone for microservice architectures—not just replacing other traditional middleware but also building the microservices themselves using DDD and Kafka-native APIs like Kafka Streams, KSQL, and Kafka Connect. Microservices.

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Kafka Designing Architecture ETL Tools 109

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. But what about when the relationships between items dominate your application?

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Kafka Process Algorithm Cloud 55

Confluent

SEPTEMBER 23, 2019

If you’re in town early, consider signing up for the half-day tutorial on September 29th, or make a week out of it by sticking around for the developer, KSQL & Kafka Streams, operations, and adv.Kafka optimization training courses. There’s then two jam-packed days of talks, up until until 5:35 p.m. Look after yourself.

Kafka 18

Kafka Hadoop Architecture Database 18

Confluent

APRIL 4, 2019

To see this equivalent branching functionality using KSQL, read the latest blog post from Robin Moffatt, KSQL: What’s New in 5.2. It describes how to the new KSQL capability CASE which defines predicates and assigns values to a field, after which separate KSQL queries can branch to different output streams based on that field.

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Kafka Data Cleanse Retail Finance 108

Confluent

JUNE 7, 2019

Our data science team uses KSQL to experiment with raw or lifted streams to ultimately deploy new machine learning models ( using custom user-defined functions ) without writing a single line of Java code. The fork-tree is very similar to how blockchain clients resolve competing blocks. The API backend and SDK are both written in TypeScript.

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Accessible Accessibility Kafka Scala 92

Confluent

SEPTEMBER 5, 2019

If this tutorial was helpful and you’re on the hunt for more on stream processing using Kafka Streams, KSQL, and Kafka, don’t forget to check out Kafka Tutorials. In this case, Spring Boot will pick up application-cloud.yaml configuration file that contains the connection to data in Confluent Cloud. SNAPSHOT.jar. Interested in more?

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Java Kafka Food Cloud 20

Confluent

MAY 22, 2019

Various options like KSQL and Single Message Transforms (SMT) are available at this stage. Start the KSQL server. We will be interacting with the data in Kafka via KSQL. Once the KSQL server starts, open a KSQL shell and list all the topics available. You should see the temperature and brightness topics.

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Kafka Google Cloud NoSQL Entertainment 97

Confluent

OCTOBER 7, 2019

For more, check out Kafka Tutorials and find full code examples using Kafka, Kafka Streams, and KSQL. I’d also like to thank Viktor Gamov, my colleague at Confluent, for developing the sample application used in this tutorial, and Victoria Yu as well for making me appear more precise and interesting than I usually am.

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Kafka Java Coding Accessible 18

Confluent

FEBRUARY 12, 2019

Now we only get the three tables from the demo schema: ksql> LIST TOPICS; Kafka Topic | Registered | Partitions | Partition Replicas | Consumers | ConsumerGroups - […] mysql-03-accounts | false | 1 | 1 | 0 | 0 mysql-03-customers | false | 1 | 1 | 0 | 0 mysql-03-transactions | false | 1 | 1 | 0 | 0 […].

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Kafka MySQL Bytes Java 88