ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineer 52

Data Engineer Data Engineering Coding Project 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 Big Data ETL Tools 93

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. A hook that gives you a secure way to leverage Airflow’s connection manager to connect to dbt Cloud.

Google Cloud 52

Google Cloud SQL Cloud Consulting 52

Confluent

FEBRUARY 6, 2019

Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability. And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. If you’re interested in what KSQL can do.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

JULY 6, 2023

Cloud Combine is popular among Azure DevTools for teaching because of its simplicity and beginner-friendly UI. It is compatible with top cloud providers’ cloud storage services like Microsoft Azure, Amazon Web Services, and Google Cloud.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Confluent

JULY 10, 2019

It can then send that activity to cloud services like AWS Kinesis, Amazon S3, Cloud Pub/Sub, or Google Cloud Storage and a few JDBC sources. Download the Confluent Platform to try KSQL, the event streaming SQL engine for Apache Kafka. And of course, it can send data to Kafka. Other articles in this series.

Kafka 89

Kafka Java Bytes SQL 89

Confluent

MAY 29, 2019

Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. If you’re interested in what KSQL can do, you can download the Confluent Platform to get started. m2 directory.

Kafka 96

Kafka Management Bytes SQL 96

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. Best of all, you can now run all of Confluent Platform free with our new Developer License.

Kafka 21

Kafka Java Cloud Metadata 21

Confluent

OCTOBER 16, 2019

Amazon S3 ( Google Cloud Storage and Azure Blob Storage connectors are also available). If you want to try out the code shown in this article you can find it on GitHub and download the Confluent Platform to get started. SELECT * FROM TRAIN_CANCELLATIONS_00 ; Data sinks.

Kafka 19

Kafka Building Data Coding 19

Confluent

SEPTEMBER 20, 2019

Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. There are different connectors available, such as ActiveMQ, HDFS, JDBC, Salesforce, cloud storage (GCP, Azure, and AWS), IBM MQ, and RabbitMQ, to name a few. This is no easy task.

Kafka 21

Kafka Management Cloud AWS 21