Cloudera

AUGUST 17, 2022

CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in. Secure single tenant cloud infrastructure. The post Accelerate Analytics for All appeared first on Cloudera Blog.

Cloud Storage 116

Cloud Storage Cloud Computing Government Data Science 116

ProjectPro

JUNE 6, 2025

Read this blog till the end to learn everything you need to know about Airflow DAG. This blog will dive into the details of Apache Airflow DAGs, exploring how they work and multiple examples of using Airflow DAGs for data processing and automation workflows. Apache Airflow DAGs are your one-stop solution!

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

Cloudera

MARCH 31, 2021

Customers who have chosen Google Cloud as their cloud platform can now use CDP Public Cloud to create secure governed data lakes in their own cloud accounts and deliver security, compliance and metadata management across multiple compute clusters. A provisioning Service Account with these roles assigned.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

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. We started to consider breaking the components down into different plugins, which could be used for more than just cloud storage.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

Netflix Tech

MAY 5, 2021

Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. 2 , are the file system interface, the API interface, and the metadata and data stores. A sample manifest file.

Metadata 78

Metadata Bytes Media Cloud Storage 78

Cloudera

JANUARY 21, 2021

By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model. Separate storage.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

Cloudera

JUNE 25, 2021

Replication Manager can be used to migrate Apache Hive, Apache Impala, and HDFS objects from CDH clusters to CDP Public Cloud clusters. This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. This blog post is not a substitute for that.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

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. Coordinates distribution of data and metadata, also known as shards. For the examples presented in this blog, we assume you have a CDP account already.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 101

Media Database Metadata Data Schemas 101

ProjectPro

JUNE 6, 2025

This shift presents abundant career opportunities, especially in big data and cloud computing , as businesses increasingly rely on cloud technologies. Therefore, gaining hands-on experience through practical projects in cloud computing is now essential for anyone looking to excel in this field.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

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. Regardless of the storage type or location, all is handled consistently and audited on a per user basis. Conclusion.

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Accessibility Accessible Cloud Cloud Storage 62

ProjectPro

JUNE 6, 2025

Are you looking to choose the best cloud data warehouse for your next big data project? This blog presents a detailed comparison of two of the very famous cloud warehouses - Redshift vs. BigQuery - to help you pick the right solution for your data warehousing needs. The global data warehousing market will likely reach $51.18

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

Cloudera

FEBRUARY 9, 2021

In terms of data analysis, as soon as the front-end visualization or BI tool starts accessing the data, the CDW Hive virtual warehouse will spin up cloud computing resources to combine the persisted historical data from the cloud storage with the latest incremental data from Kafka into a transparent real-time view for the users.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

ProjectPro

JUNE 6, 2025

This blog comprehensively overviews Amazon Rekognition's features , use cases, architecture, pricing, projects, etc. Additionally, there's a separate charge for storing face metadata objects necessary for face and user search functionalities. Face metadata storage for face search incurs monthly charges.

AWS 40

AWS Media Amazon Web Services Machine Learning 40

Tweag

OCTOBER 16, 2024

We recently completed a project with IMAX, where we learned that they had developed a way to simplify and optimize the process of integrating Google Cloud Storage (GCS) with Bazel. In this blog post, we’ll dive into the features, installation, and usage of rules_gcs , and how it provides you with access to private resources.

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Google Cloud Cloud Storage Accessibility Accessible 65

Cloudera

SEPTEMBER 15, 2022

Foundational to the data fabric are metadata driven pipelines for scalability and resiliency, a unified view of the data from source through to the data products, and the ability to operate across a hybrid, multi-cloud environment. . The post Demystifying Modern Data Platforms appeared first on Cloudera Blog.

Data Lake 83

Data Lake Cloud Storage Analytics Application Architecture 83

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Further auditing can be enabled at a session level so administrators can request key metadata about each CML process.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

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

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

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., Refining and enhancing local and metadata models. In the thought process of making a career transition from ETL developer to data engineer job roles? billion to USD 87.37 billion in 2025.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Cloudera

MAY 18, 2021

Multi-Cloud Management. Single-cloud visibility with Cloudera Manager. Single-cloud visibility with Ambari. Policy-Driven Cloud Storage Permissions. The post The value of CDP Public Cloud over legacy Hadoop-on-IaaS implementations appeared first on Cloudera Blog. Workload Management. Not available.

Hadoop 86

Hadoop Cloud AWS Utilities 86

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future.

Banking 62

Banking Kafka Cloud Storage Government 62

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. In this all-encompassing tutorial blog, we are going to give a detailed explanation of the Copy activity with special attention to datastores, file type, and options. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Cloud Storage 40

Cloudera

APRIL 23, 2021

To prevent the management of these keys (which can run in the millions) from becoming a performance bottleneck, the encryption key itself is stored in the file metadata. Each file will have an EDEK which is stored in the file’s metadata. However, we can continue without enabling TLS for the purpose of this blog.

MySQL 73

MySQL Java Bytes Data 73

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. ZooKeeper issue.

Kafka 93

Kafka Hadoop ETL Tools Java 93

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

Cloudera

SEPTEMBER 9, 2018

Because Altus Data Warehouse uses open source formats and the data resides in your cloud storage rather than in a proprietary data store, there is no concern about vendor lock-in. 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

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

Tweag

APRIL 19, 2023

In this blog post, I will explain the underlying technical challenges and share the solution that we helped implement at kaiko.ai , a MedTech startup in Amsterdam that is building a Data Platform to support AI research in hospitals. A solution is to read the bytes that we need when we need them directly from Blob Storage. width , spec.

Medical 61

Medical Process Cloud Bytes 61

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Then, the Yelp dataset downloaded in JSON format is connected to Cloud SDK, following connections to Cloud storage which is then connected with Cloud Composer. The Yelp dataset JSON stream is published to the PubSub topic.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

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. This is the same sensibility expressed in the dbt viewpoint in 2016, the closest thing to a founding blog post as exists for dbt. ]

Google Cloud 52

Google Cloud SQL Consulting Cloud 52

Rockset

JUNE 7, 2021

The CDC system then periodically polls the source file system to check for any new files using the file metadata it stored earlier as a reference. Any new files are then captured and their metadata stored too. Along with the data, the path of the file and the source system it was captured from is also stored.

IT 40

IT Kafka MongoDB Database 40

ProjectPro

JUNE 6, 2025

AWS S3 Interview Questions and Answers Amazon S3 (Simple Storage Service) is a secure, scalable, and durable cloud storage solution designed for a wide range of use cases, from backup and archiving to big data analytics. Storage: Amazon S3 with intelligent tiering for video storage.

AWS 40

AWS Amazon Web Services Cloud Computing Java 40

ProjectPro

JUNE 6, 2025

Whether you are a data engineer looking to streamline your workflow or a curious beginner ready to dive in, this blog has got you covered. Hooks act as the building blocks for operators, ensuring the security of sensitive data within the encrypted metadata database of Airflow. check out this detailed blog on Apache Airflow.

MySQL 40

MySQL Data Pipeline Metadata Google Cloud 40

Cloudera

DECEMBER 10, 2020

With the separation of compute and storage, CDW engines leverage newer techniques such as compute-only scaling and efficient caching of shared data. These techniques range from distributing concurrent query for overall throughput to metadata caching, data caching, and results caching. 2,300 / month for the cloud hardware costs.

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Data Warehouse Cloud Storage Metadata Data 98