Scott Logic

APRIL 10, 2024

The focus of our submission was on calculating the energy cost of object or “blob” storage in the cloud (eg. We collaborated with the UK’s DWP on this project as this is an important aspect of their tech carbon footprint, where a form submission could result in a copy being stored in the cloud for many years.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. A TPC-DS 10TB dataset was generated in ACID ORC format and stored on the ADLS Gen 2 cloud storage. benchmark. Both CDW and HDInsight had all 10 nodes running LLAP daemons with SSD cache ON.

Data Warehouse 120

Data Warehouse Cloud Storage Metadata Cloud 120

Cloudera

FEBRUARY 9, 2021

Today, more and more customers are moving workloads to the public cloud for business agility where cost-saving and management are key considerations. Cloud object storage is used as the main persistent storage layer, which is significantly cheaper than block volumes. Avro Schema without Kafka Metadata Example. {.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Cloudera subscription and compute costs. 1 Year Reserved .

Hadoop 86

Hadoop Cloud AWS Utilities 86

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. You also do not want to risk your company-wide cloud consumption costs snowballing out of control. Separate storage. Yes there is a better choice!

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

ThoughtSpot

MAY 31, 2023

Architecture Let's start with the big picture and tackle how we adjusted our cloud architecture with additional internal and external interfaces to integrate LLM. 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

Cloudera

SEPTEMBER 28, 2021

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. Conclusion.

Accessible 62

Accessible Accessibility Cloud Cloud Storage 62

Netflix Tech

MAY 5, 2021

A file and folder interface for Netflix Cloud Services Written by Vikram Krishnamurthy , Kishore Kasi , Abhishek Kapatkar , and Tejas Chopra In this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces. The major pieces, as shown in Fig.

Metadata 76

Metadata Bytes Media Cloud Storage 76

Towards Data Science

NOVEMBER 4, 2023

Cloud platform leaders made DWH (Snowflake, BigQuery, Redshift, Firebolt) infrastructure management really simple and in many scenarios they will outperform and dedicated in-house infrastructure management team in terms of cost-effectiveness and speed. Often it is a data warehouse solution (DWH) in the central part of our infrastructure.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

Towards Data Science

MARCH 5, 2024

Let’s assume the task is to copy data from a BigQuery dataset called bronze to another dataset called silver within a Google Cloud Platform project called project_x. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task. Data can easily be uploaded and stored for low costs.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Confluent

APRIL 2, 2019

Includes free forever Confluent Platform on a single Apache Kafka ® broker, improved Control Center functionality at scale and hybrid cloud streaming. With our latest version of Confluent Replicator, you can now seamlessly stream events across on-prem and public cloud deployments. Output metadata. Confluent Platform 5.2

Kafka 21

Kafka Java Cloud Metadata 21

Cloudera

SEPTEMBER 1, 2020

DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). 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. data best served through Apache Solr). Prerequisites.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

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 61

Medical Process Cloud Bytes 61

Rockset

NOVEMBER 7, 2018

Rockset and I began collaborating in 2016 due to my interest in their RocksDB-Cloud open-source key-value store. This post is primarily about the RocksDB-Cloud software, which Rockset open-sourced in 2016, rather than Rockset's newly launched cloud service. Two in particular, REST-based Object Storage (e.g.

Database 40

Database Cloud Cloud Storage MySQL 40

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Ramsey International Modern Data Platform Architecture.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

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

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 65

Google Cloud Cloud Storage Accessible Accessibility 65

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

Cloudera

FEBRUARY 16, 2022

Each workspace is associated with a collection of cloud resources. 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. The highest level construct in CML is a workspace.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

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

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Built on new SQL database engine, it provides a unique architecture designed for the cloud. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

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

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. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.” It works in both directions.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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 99

Media Database Metadata Data Schemas 99

Confluent

SEPTEMBER 20, 2019

Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. Confluent Cloud for instance, allows the user to effectively start working with Apache Kafka in 90 seconds.

Kafka 21

Kafka Management Cloud AWS 21

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. In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 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. Cloudera DataFlow offers the capability for Edge to cloud streaming data processing.

Banking 62

Banking Kafka Cloud Storage Government 62

Ascend.io

MARCH 20, 2023

But as we described in our February update, the location for interim storage in intelligent pipelines is determined by the data cloud accounts to which you connect an Ascend data service. Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

But as we described in our February update, the location for interim storage in intelligent pipelines is determined by the data cloud accounts to which you connect an Ascend data service. Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud.

Management 52

Management AWS Cloud Storage Data Pipeline 52

Precisely

FEBRUARY 9, 2024

Organizations must focus on breaking down silos and integrating all relevant, critical data into on-premises or cloud storage for AI model training and inference. Data integrity capabilities such as data cataloging, data integration, metadata management, and more are employed to create a fabric.

Data Integration 67

Data Integration Government Data Metadata 67

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

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Depending on the type of deployment (cloud or on-premise), cluster size, and the number of integrations, the deployment may take days to weeks to even months.

Kafka 93

Kafka Hadoop Big Data ETL Tools 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

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. Also integrated are the cloud-based databases, such as the Amazon RDS for Oracle and SQL Server and Google Big Query, to name but a few. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Cloudera

SEPTEMBER 9, 2018

We are proud to announce the general availability of Cloudera Altus Data Warehouse , the only cloud data warehousing service that brings the warehouse to the data. Cloudera’s modern data warehouse runs wherever it makes the most sense for your business – on-premises, public cloud, hybrid cloud, or even multi-cloud.

Data Warehouse 40

Data Warehouse Metadata Cloud Storage Cloud 40

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