Edureka

APRIL 22, 2025

In contrast to conventional warehouses, it keeps computation and storage apart, allowing for cost-effectiveness and dynamic scaling. It provides real multi-cloud flexibility in its operations on AWS , Azure, and Google Cloud. Snowflake: Offers multi-cloud support, which is present on AWS, Azure, and Google Cloud.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

phData: Data Engineering

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? Amazon S3, Azure Data Lake, or Google Cloud Storage). Why should we use it?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Scott Logic

APRIL 10, 2024

This blog post serves as a dev diary of the process, covering our challenges, contributions made and attempts to validate them. Further research We struggled to find more official information about how object storage is implemented and measured, so we decided to look at an object storage system that could be deployed locally called MinIO.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

DataKitchen

NOVEMBER 5, 2024

By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Google Cloud Storage buckets – in the same subregion as your subnets . Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Data Engineering Podcast

SEPTEMBER 22, 2019

What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage? What are the cases where it makes sense to use MinIO in place of a cloud-native object store such as S3 or Google Cloud Storage? What do you have planned for the future of MinIO?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Netflix Tech

SEPTEMBER 24, 2021

Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 97

Cloud Bytes Cloud Storage Media 97

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud?

AWS 52

AWS Google Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

SEPTEMBER 28, 2023

The relevance of the AWS Cloud Practitioner Certification was something I couldn't ignore as I started on my path to gaining expertise in cloud computing. Anyone entering the cloud technology domain has to start with this fundamental credential. What is AWS Cloud Practitioner Certification?

AWS 52

AWS Certification Amazon Web Services Cloud 52

Cloudera

SEPTEMBER 28, 2021

The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. We covered the value this new capability provides in a previous blog. Create an IDBroker mapping for each CDP user like Bob to a unique AWS IAM role.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

Cloudera

DECEMBER 8, 2021

In this blog, we’ll share how CDP Operational Database can deliver high performance for your applications when running on AWS S3. CDP Operational Database allows developers to use Amazon Simple Storage Service (S3) as its main persistence layer for saving table data. AWS EC2 instance configurations. Test Environment.

Database 93

Database AWS Datasets Cloud Storage 93

Cloudera

SEPTEMBER 1, 2020

YARN allows you to use various data processing engines for batch, interactive, and real-time stream processing of data stored in HDFS or cloud storage like S3 and ADLS. For the examples presented in this blog, we assume you have a CDP account already. aws s3 cp --recursive backups/ s3://dde-bucket/backups/.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

Cloudera

DECEMBER 21, 2021

Early in the year we expanded our Public Cloud offering to Azure providing customers the flexibility to deploy on both AWS and Azure alleviating vendor lock-in. A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage. Test Drive CDP Pubic Cloud.

Data Engineering 118

Data Engineering Data Engineer Engineering Data Pipeline 118

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. This blog post is not a substitute for that. For context, the setup used is as follows. Troubleshooting.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Cloudera

SEPTEMBER 15, 2020

introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage. Cloudera Data Platform 7.2.1 What’s next?

Accessible 79

Accessible Accessibility Cloud Cloud Storage 79

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Knowledge Hut

FEBRUARY 29, 2024

File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. The designer must decide and understand the data storage, and inter-relation of data elements. It offers various blogs based on above mentioned technology in alphabetical order.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

MAY 18, 2021

To provide a comprehensive view of the savings opportunity across all (applicable to CDP) permutations of the parameters mentioned above for both AWS and Azure deployments (e.g., Multi-Cloud Management. Single-cloud visibility with Cloudera Manager. Single-cloud visibility with Ambari. 1 Year Reserved . 13,000-18,500.

Hadoop 86

Hadoop Cloud AWS Utilities 86

Cloudera

SEPTEMBER 30, 2022

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions.

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

Cloudera

JANUARY 21, 2021

Separate storage. Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Get your data in place. S3 bucket).

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

Christophe Blefari

DECEMBER 31, 2023

To finish the year Airflow team have released improvements to Datasets and a major step forward with the new Object Storage API that provides a generic abstraction over Cloud Storage to transfer data from one to another. Other reads The state of SQL-based observability , on ClickHouse blog.

Data 100

Data Python Cloud Storage Datasets 100

Confluent

SEPTEMBER 20, 2019

Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

Kafka 21

Kafka Management Cloud AWS 21

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 4, 2023

Mind map helps you grasp the core topics though a cloud computing concept map and helps you understand how those concepts fit together. Let us explore more about cloud computing and mind maps through this blog. These elements differentiate cloud technology from the traditional system and are a factor in its rapid growth.

Cloud Computing 52

Cloud Computing Cloud Google Cloud AWS 52

Knowledge Hut

FEBRUARY 2, 2024

In this blog, I will explain the top 10 job roles you can choose per your interests and outline their salaries. Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. Snowflake allows the loading of both structured and semi-structured datasets from cloud storage.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Knowledge Hut

SEPTEMBER 21, 2023

Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. Questions such as which is better and easier to learn—AWS, Azure, or GCP— are often asked by organization leaders before starting out on their cloud journey.

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. The primary step in this data project is to gather streaming data from Airline API using NiFi and batch data using AWS redshift using Sqoop. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

MAY 29, 2019

If you want to follow along and execute all the commands included in this blog post (and the next), you can check out this GitHub repository , which also includes the necessary Docker Compose functionality for running a compatible KSQL and Confluent Platform environment using the recently released Confluent 5.2.1. Sample repository.

Kafka 96

Kafka Management Bytes SQL 96

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Amazon Web Services (AWS) offers a wide range of data engineering tools that can be used to efficiently process and analyze large volumes of data. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. Additionally, as was described in the previous blog article , every DS is associated with a schema for the data it stores. NMDB leverages a cloud storage service (e.g.,

Media 99

Media Database Metadata Data Schemas 99

dbt Developer Hub

NOVEMBER 22, 2022

It’s also the most provider-agnostic, with support for Amazon S3, Google Cloud Storage, Azure and the local file system. Redshift ​ Unsurprisingly for an AWS product, Redshift prefers to import CSV files from S3. If needed, you can write a copy to BigQuery or just leave it as an external source.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

Cloudera

SEPTEMBER 9, 2018

Because Cloudera Altus Data Warehouse operates directly over data in your AWS or Microsoft Azure account, you can create security policies that comply with your company’s standards. Altus Data Warehouse is not like other cloud data warehouses. The post Altus Data Warehouse appeared first on Cloudera Blog.

Data Warehouse 40

Data Warehouse Metadata Cloud Storage Cloud 40

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog./gradlew gradlew composeUp. Test execution details, such as test name, test suite, execution time, and result.

Kafka 89

Kafka Java Bytes SQL 89

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. AWS Glue You can easily extract and load your data for analytics using the fully managed extract, transform, and load (ETL) service AWS Glue.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 24, 2023

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. BigQuery can process upto 20 TB of data per day and has a storage limit of 1PB per table. Search no more! Did you know ? What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52