Cloudera

SEPTEMBER 30, 2022

telemetry data from oil rig sensors that need to be filtered, enriched, and routed to different services are batched every few hours and sent to a cloud storage staging area). Serverless IOT event processing : Collect, process, and move data from IOT devices with serverless IOT processing endpoints (e.g: What to learn more?

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

Rockset

MARCH 1, 2023

In addition, Rockset provides fast data access through the use of more performant hot storage, while cloud storage is used for durability. Rockset’s ability to exploit the cloud makes complete isolation of compute resources possible. The default virtual instance will be dedicated to streaming ingestion in this example.

Architecture 59

Architecture AWS SQL Cloud Storage 59

Striim

FEBRUARY 10, 2023

Macy’s migrated its on-premise inventory and order data to Google Cloud storage to reach its objectives. The company decided to move to the cloud based on the benefits of cost efficiency, flexibility, and improved data management. Request a demo today.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Confluent

FEBRUARY 6, 2019

Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training. Python, KSQL and Jupyter for prototyping, demos and production deployments.

Machine Learning 107

Machine Learning Python Kafka Java 107

Zalando Engineering

DECEMBER 18, 2017

This post will demo and introduce tools that our small team of three at Zalando uses to backup and restore Apache Kafka and Zookeeper. Demo Download the prerequisite Checkout the following repository: $ git clone [link] It contains a docker-compose file for bring up a Zookeeper, Kafka, and Kafka Connect locally.

Kafka 40

Kafka AWS Cloud Storage Data 40

Cloudera

APRIL 23, 2021

In this document, the option of “Installing KTS as a service inside the cluster” is chosen since additional nodes to create a dedicated cluster of KTS servers is not available in our demo system. Parcels Configuration for KTS: Download the parcels for KTS as they are not part of the CDP parcels. wget [link]. wget [link].

MySQL 73

MySQL Java Bytes Data 73

Monte Carlo

FEBRUARY 6, 2023

Your database may be in the cloud, but the server that hosts it has a physical location. Cloud storage will provide the most opportunity, but your goals and budget constraints will help to determine what’s right for your business needs. Public, private, hybrid, or multi-cloud. Hosted, managed, or SaaS.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Cloudera

OCTOBER 15, 2020

Solr) is most commonly used for batch indexing data residing in cloud storage, or if you want to do heavy transformations of the data as a pre-step before sending it to indexing for easy exploration. Provide a collection Name under Destination (in this example, we named it ‘solr-nifi-demo’). nifi-solr-demo. text_general.

AWS 117

AWS Data Cloud Cloud Storage 117

Precisely

MARCH 10, 2023

Cloud computing power is highly elastic and infinitely scalable, and cloud storage is cheap. With the cloud as a key enabler, businesses have more opportunities than ever before to generate valuable business insights from their data. Watch Generating intelligent business insights from your data comes with some challenges.

Datasets 59

Datasets Data Warehouse Big Data Cloud Storage 59

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake BI Google Cloud 64