dbt Developer Hub

NOVEMBER 28, 2021

From the Airflow side ​ A client has 100 data pipelines running via a cron job in a GCP (Google Cloud Platform) virtual machine, every day at 8am. In a Google Cloud Storage bucket. And that common interface is configured in code + version-controlled. Where can I view history in a table format?”

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Confluent

FEBRUARY 6, 2019

The problem is that writing the machine learning source code to train an analytic model with Python and the machine learning framework of your choice is just a very small part of a real-world machine learning infrastructure. For instance, you can write Python code to train and generate a TensorFlow model.

Machine Learning 106

Machine Learning Python Kafka Java 106

Knowledge Hut

JULY 6, 2023

NET) Java, JavaScript, Node.js, and Python are hosted on-prem and in the cloud. Monitoring is enabled for both backend and frontend codes. Cloud Combine is popular among Azure DevTools for teaching because of its simplicity and beginner-friendly UI. Also, you can easily download and upload data, regardless of size or type.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Confluent

MAY 29, 2019

We’ll demonstrate using Gradle to execute and test our KSQL streaming code, as well as building and deploying our KSQL applications in a continuous fashion. The first requirement to tackle: how to express dependencies between KSQL queries that exist in script files in a source code repository. Managing KSQL dependencies.

Kafka 93

Kafka Management Bytes SQL 93

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. We provide the functions: prefix to reference the subproject directory with our code. So now, let’s build a UDF artifact.

Kafka 85

Kafka Java Bytes SQL 85

Confluent

OCTOBER 16, 2019

The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. Resolving codes in events to their full values. Perhaps you want to resolve a code used in the event stream but it’s a value that will never change (famous last words in any data model!),

Kafka 19

Kafka Building Data Coding 19

Confluent

APRIL 2, 2019

This means you now have access, without any time constraints, to tools such as Control Center, Replicator, security plugins for LDAP and connectors for systems, such as IBM MQ, Apache Cassandra and Google Cloud Storage. librdkafka is now 1.0, and so are the Confluent clients! Confluent Platform 5.2 read the release notes.

Kafka 21

Kafka Java Cloud Metadata 21

Confluent

SEPTEMBER 20, 2019

This is a characteristic of true managed services, because they must keep developers focused on what really matters, which is coding. Even if you automate the lifecycle of Kafka Connect and the connector deployment through infrastructure-as-code technologies (e.g., Hosted solutions are different. updating, testing, and redeploying it).

Kafka 21

Kafka Management Cloud AWS 21