Netflix Tech

SEPTEMBER 24, 2021

Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.

Cloud 96

Cloud Bytes Cloud Storage Media 96

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. Every database built for real-time analytics has a fundamental limitation. Michael Carey.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

Striim

MARCH 21, 2025

Between continuous real-time collection of data, and its delivery to enterprise and cloud destinations, data has to move in a reliable and scalable way. There are architectural and technology decisions every step of the way – not just at design time, but also at run time.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Knowledge Hut

MARCH 14, 2024

Azure is among the top cloud service providers. Azure architecture includes all the ideas and elements needed to build a safe, dependable, and scalable cloud application. What Is Microsoft Azure Cloud Architecture? Users can view and access their files from anywhere with its cloud storage capabilities.

Architecture 52

Architecture Cloud Computing Utilities Machine Learning 52

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. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team?

Cloud Computing 116

Cloud Computing Cloud Storage Data Science Government 116

Data Engineering Podcast

JUNE 12, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Cloudera

MARCH 31, 2021

CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. With the addition of Google Cloud, we deliver on our vision of providing a hybrid and multi-cloud architecture to support our customer’s analytics needs regardless of deployment platform. .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Rockset

MARCH 1, 2023

Rockset introduces a new architecture that enables separate virtual instances to isolate streaming ingestion from queries and one application from another. Benefits of Compute-Compute Separation In this new architecture, virtual instances contain the compute and memory needed for streaming ingest and queries.

Architecture 59

Architecture AWS SQL Cloud Storage 59

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. Architecture overview. Separate storage. Get your data in place.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

ThoughtSpot

MAY 31, 2023

The architecture is designed to be resilient against new-age attacks against LLMs like prompt injection and prompt leaks. 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.

Data Security 98

Data Security Metadata Data Warehouse Transportation 98

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. The high-level architecture shown below forms the backdrop for the exploration.

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

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. Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

SEPTEMBER 22, 2019

Upcoming events include the O’Reilly AI conference, the Strata Data conference, the combined events of the Data Architecture Summit and Graphorum, and Data Council in Barcelona. 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?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Monte Carlo

JULY 19, 2023

Those tools include: Cloud storage and compute Data transformation Business intelligence Data observability And orchestration And we won’t mention ogres or bean dip again. Cloud storage and compute Whether you’re stacking data tools or pancakes, you always build from the bottom up. Let’s dive into it.

Building 96

Building Business Intelligence Cloud Storage BI 96

Cloudera

DECEMBER 21, 2021

A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage. We are excited to offer in Tech Preview this born-in-the-cloud table format that will help future proof data architectures at many of our public cloud customers. Modernizing pipelines.

Data Engineering 118

Data Engineering Data Engineer Engineering Data Pipeline 118

U-Next

SEPTEMBER 22, 2022

There is no question that cloud computing is here to stay because its architecture is simple, stating its components and subcomponents in clear terms. It is ubiquitous today, offering many advantages in terms of flexibility, maintenance, sharing, and storage, among others. What Is Cloud Computing Architecture? .

Cloud Computing 40

Cloud Computing Architecture Cloud IT 40

Cloudera

SEPTEMBER 23, 2022

Finally, cloud computing adds low cost and high resiliency to these services. The advantages provide the foundation for the modern data lakehouse architectural pattern. Cloud storage is versioned as well, and should you inadvertently delete important data the SaaS CDP One ops team can quickly recover it for you.

Data Governance 109

Data Governance Government Amazon Web Services Cloud Computing 109

Towards Data Science

APRIL 26, 2023

Moreover, the data will need to leave the cloud env to go on our machine, which is not exactly secure and auditable. To make the cloud experience as smooth as possible we designed a data lake architecture where data are sitting in a simple cloud storage (AWS S3) and a serverless infrastructure that embeds DuckDB works as a query engine.

Engineering 96

Engineering Data Lake AWS BI 96

Towards Data Science

MARCH 5, 2024

In this environment, the emphasis shifts from minimizing storage space to optimizing query performance. In BigQuery, de-normalization emerges as a preferred strategy for several reasons: Query Performance : BigQuery’s distributed architecture excels at scanning large volumes of data in parallel.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

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. You need to configure the backup repository in solr xml to point to your cloud storage location (in this example your S3 bucket). Prerequisites.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

Data Engineering Weekly

DECEMBER 3, 2023

Github: The architecture of today’s LLM applications LLM is slowly changing the application architecture landscape as it becomes integral to app development. Github writes an excellent blog to capture the current state of the LLM integration architecture. Visit rudderstack.com to learn more. Partitions, ever-present.

Data Engineering 71

Data Engineering Data Engineer Engineering Bytes 71

Cloudera

FEBRUARY 9, 2021

A new solution integrating cloud object storage, with Cloudera’s NiFi dataflows, a Kafka datahub, and a Hive virtual warehouse in the CDW service allows businesses to take the best advantage of this public cloud trend. The Cost-Effective Data Warehouse Architecture. This architecture has the following benefits .

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

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.

Metadata 72

Metadata Bytes Media Cloud Storage 72

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

Cloudera

OCTOBER 26, 2020

The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms. Validation includes: Overall architecture. Observance of the CDP interface classification system.

Certification 87

Certification Cloud Kafka Unstructured Data 87

AltexSoft

OCTOBER 21, 2022

But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture. Kafka architecture. Read our article on event-driven architecture and Pub/Sub to learn more about this powerful communication paradigm. Kafka cluster architecture. Scalability.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Towards Data Science

DECEMBER 15, 2023

Maybe you need to scale up to a cloud storage provider like Snowflake or AWS to keep up and make all this data accessible at the pace you need. You probably need to attend to data architecture to try and keep costs from skyrocketing, but what about data retention? This isn’t sustainable, though — not forever anyway.

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Cloudera

JUNE 25, 2021

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. Architecture. 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.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Snowflake

OCTOBER 15, 2024

To provide accurate answers, developers can use a RAG-based architecture, where the LLM retrieves relevant internal knowledge from documents, wikis or FAQs before generating a response. Since a pre-trained LLM alone will lack deep expertise in your company’s products, the answers generated are likely to be incorrect and of no value.

SQL 98

SQL Data Preparation Electronics Python 98

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. Snowflake architecture provides flexibility with big data. Here’s a detail on the architecture of Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Towards Data Science

JULY 21, 2023

Those tools include: Cloud storage and compute Data transformation Business intelligence Data observability And orchestration And we won’t mention ogres or bean dip again. Cloud storage and compute Whether you’re stacking data tools or pancakes, you always build from the bottom up. Let’s dive into it.

Building 98

Building Business Intelligence BI Cloud Storage 98

Confluent

FEBRUARY 6, 2019

The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

JULY 2, 2024

However, the hybrid cloud is not going away anytime soon. In fact, the hybrid cloud will likely become even more common as businesses move more of their workloads to the cloud. So what will be the future of cloud storage and security? With guidance from industry experts, be ready for a future in the domain.

Cloud Computing 98

Cloud Computing Cloud Healthcare Education 98

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

FEBRUARY 7, 2019

Implementing a Modern Data Architecture. With this expanded scope, the organization has introduced its Cloud Storage Connector, which has become a fully integrated component for data access and processing of Hadoop and Spark workloads.

Big Data 67

Big Data Utilities Google Cloud Data Analytics 67

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. Repository GitHub: It is a place to find detailed codes, architecture design.

Data Science 98

Data Science Datasets Machine Learning Database Design 98