Rockset

NOVEMBER 7, 2018

To this end, a CNDB maintains a consistent image of the database--data, indexes, and transaction log--across cloud storage volumes to meet user objectives, and harnesses remote CPU workers to perform critical background work such as compaction and migration. Rockset also uses RocksDB-Cloud as the foundation for its own cloud service.

Database 40

Database Cloud Cloud Storage MySQL 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. Encryption & Decryption Flow: The way HDFS encrypts data is explained very well in Cloudera documentation and many articles.

MySQL 69

MySQL Java Bytes Data 69

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 Database MongoDB 40

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 91

Google Cloud Cloud Amazon Web Services Cloud Storage 91

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. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Conclusion.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

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 93

IT Data Lake Data Warehouse Cloud Storage 93

Towards Data Science

MARCH 5, 2024

More information about this can be found in the official search index documentation. Physical Bytes Storage Billing BigQuery offers two billing models for storage: Standard and Physical Bytes Storage Billing. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 72

Bytes Google Cloud Cloud Storage Utilities 72

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 94

Media Database Metadata Data Schemas 94

Monte Carlo

AUGUST 25, 2023

A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor. For metadata organization, they often use Hive, Amazon Glue, or Databricks. One advantage of data warehouses is their integrated nature.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Precisely

OCTOBER 5, 2023

Precisely works with more than 130 data suppliers, and we hold all to the same high standards in relation to data quality, data structure, documentation and metadata, effective issue resolution, and product timing. Does the providers use an FTP site, a cloud storage site, or a web page to make data available for download?

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

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 Big Data 93

ProjectPro

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Instruments like Apache ZooKeeper and Apache Oozie help better coordinate operations, schedule jobs, and track metadata across a Hadoop cluster. Let’s see why.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Tweag

APRIL 19, 2023

Thankfully, cloud-based infrastructure is now an established solution which can help do this in a cost-effective way. As a simple solution, files can be stored on cloud storage services, such as Azure Blob Storage or AWS S3, which can scale more easily than on-premises infrastructure. But as it turns out, we can’t use it.

Medical 60

Medical Process Cloud Bytes 60

ProjectPro

JULY 30, 2021

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. What is Virtualization in Cloud Computing? What is AWS lambda?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 24, 2021

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. Cloud composer and PubSub outputs are Apache Beam and connected to Google Dataflow. The Yelp dataset JSON stream is published to the PubSub topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

MAY 29, 2019

Rigid file naming standards that had built-in dependency metadata. All of these properties, as well as their default values, are documented in the API documentation. I considered several approaches for solving this requirement, including: A YAML file defining pipelines and the dependencies that exist within and between them.

Kafka 94

Kafka Management Bytes SQL 94

Confluent

OCTOBER 23, 2019

To start a connector in distributed mode, send a POST request to the Kafka Connect REST API, as described in the documentation. Suppose, for example, you are writing a source connector to stream data from a cloud storage provider.

Kafka 15

Kafka Cloud Storage Cloud Database 15

AltexSoft

MAY 12, 2023

It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Some examples of unstructured data Text documents. You may encounter unstructured data in the form of text documents, which can be plain text files (.txt), txt), Microsoft Word documents (.doc,docx),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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. Additional enhancements and bug fixes, all carefully documented in the release notes. Output metadata.

Kafka 21

Kafka Java Cloud Metadata 21

know.bi

JUNE 15, 2022

Functionality : since the start of the project in 2019, metadata management has been drastically improved, and tons of functionality has been added to Apache Hop. Integrated search : search all of your project's metadata or all of Hop to find a specific metadata item, all occurrences of a database connection for example.

Metadata 52

Metadata Data Integration Cloud Storage Project 52

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

Monte Carlo

AUGUST 19, 2023

Regardless of which side you take, you quite literally cannot build a modern data platform without investing in cloud storage and compute. Snowflake, a cloud data warehouse, is a popular choice among data teams when it comes to quickly scaling up a data platform.

Building 52

Building BI Data Lake Data Governance 52