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

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

ThoughtSpot

MAY 31, 2023

A bit of background on our cloud architecture : <br>ThoughtSpot is hosted as a set of dedicated services and resources created for specific tenants and a group of multi-tenant common services. This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant.

Data Security 98

Data Security Metadata Data Warehouse Transportation 98

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.

Metadata 72

Metadata Bytes Media Cloud Storage 72

Cloudera

JUNE 25, 2021

In order to copy or migrate data from CDH cluster to CDP Data Lake cluster, the on-prem CDH cluster should be able to access the CDP cloud storage. The Sentry service serves authorization metadata from the database backed storage; it does not handle actual privilege validation. External Account Setup.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Towards Data Science

MARCH 5, 2024

Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task. Uploading the data can be achieved using distcp or simply by getting the data from HDFS first and then uploading it to GCS using one of the available CLI tools to interact with Cloud Storage. orc /some_orc_table/month=2024-01/000000_1.orc

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

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

Cloudyard

MARCH 30, 2023

Read Time: 2 Minute, 30 Second For instance, Consider a scenario where we have unstructured data in our cloud storage. Therefore, As per the requirement, Business users wants to download the files from cloud storage. But due to compliance issue, users were not authorized to login to the cloud provider.

Unstructured Data 52

Unstructured Data Accessible Accessibility Cloud Storage 52

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. We further assume you have environments and identities mapped and configured.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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. rules_gcs is a Bazel ruleset that facilitates the downloading of files from Google Cloud Storage. What is rules_gcs ?

Google Cloud 67

Google Cloud Cloud Storage Accessible Accessibility 67

Netflix Tech

DECEMBER 14, 2018

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. In NMDB we think of the media metadata universe in units of “DataStores”. A specific media analysis that has been performed on various media assets (e.g.,

Media 97

Media Database Metadata Data Schemas 97

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

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. . Ramsey International Modern Data Platform Architecture.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

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. Output metadata. Some of the changes include: Feed pause and resume. Card and table formats.

Kafka 21

Kafka Java Cloud Metadata 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

RandomTrees

SEPTEMBER 17, 2024

The Unity Catalog is Databricks governance solution which integrates with Databricks workspaces and provides a centralized platform for managing metadata, data access, and security. It acts as a sophisticated metastore that not only organizes metadata but also enforces security and governance policies across various data assets and AI models.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

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

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

Monte Carlo

APRIL 24, 2023

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Confluent

OCTOBER 23, 2019

Suppose, for example, you are writing a source connector to stream data from a cloud storage provider. A source record is used primarily to store the headers, key, and value of a Connect record, but it also stores metadata such as the source partition and source offset.

Kafka 15

Kafka Cloud Storage Cloud Database 15

Edureka

OCTOBER 10, 2024

File Systems: Data from several file systems, including FTP, SFTP, HDFS, and different cloud storages such as Amazon S3, Google cloud storage, etc., Preserve Metadata Along with Data When copying data, you can also choose to preserve metadata such as column names, data types, and file properties.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Ascend.io

MARCH 20, 2023

Leverage Cost-Saving Storage Tiers As you know, AWS S3 (“Simple Storage Service”, remember?) is the OG of massive cloud storage used by many systems, including Ascend, when deployed on AWS. Less known is how to best utilize S3 storage tiers to save costs.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

Leverage Cost-Saving Storage Tiers As you know, AWS S3 (“Simple Storage Service”, remember?) is the OG of massive cloud storage used by many systems, including Ascend, when deployed on AWS. Less known is how to best utilize S3 storage tiers to save costs.

Management 52

Management AWS Cloud Storage Data Pipeline 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

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

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. The answer is twofold.

Database 40

Database Cloud Cloud Storage MySQL 40

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

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 Big Data ETL Tools 93

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.

Data Warehouse 40

Data Warehouse Metadata Cloud Storage Cloud 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. Each HDFS file is encrypted using an encryption key. Data in the file is encrypted with DEK.

MySQL 73

MySQL Java Bytes Data 73

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

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 62

Medical Process Cloud Bytes 62

Rockset

JUNE 4, 2020

Introduction RocksDB is an LSM storage engine whose growth has proliferated tremendously in the last few years. RocksDB-Cloud is open-source and is fully compatible with RocksDB, with the additional feature that all data is made durable by automatically storing it in cloud storage (e.g. Amazon S3).

Cloud 40

Cloud Cloud Storage Database Metadata 40

Knowledge Hut

FEBRUARY 7, 2023

v1 Kind: StorageClass metadata: Name: standard provisioner: kubernetes.io/aws-ebs aws-ebs parameters: type: gp3 reclaimPolicy: Retain allowVolumeExpansion: true mount0ptions: debug volumeBindingMode: Immediate The StorageClass object's name is crucial since it permits requests to that specific class. Example: a.

Metadata 52

Metadata AWS Google Cloud Cloud 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

Knowledge Hut

JULY 20, 2023

Secure Image Sharing in Cloud Storage Selective image encryption can be applied in cloud storage services where users want to share images while protecting specific sensitive content. Consider employing additional techniques, such as metadata encryption or steganalysis, to address these concerns.

Medical 40

Medical Algorithm Metadata Cloud Storage 40