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?

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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 95

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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.

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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

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.

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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 81

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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.

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Unstructured Data MongoDB Scala MySQL 130

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 115

Cloud Computing Cloud Storage Data Science Government 115

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 86

Data Security Metadata Transportation Data Warehouse 86

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

Knowledge Hut

DECEMBER 4, 2023

Below are the services provided by these cloud providers. Audit Trails – Cloud providers provide audit trails and logging to validate compliance with regulations. A cloud network includes Virtual Private Network (VPC) – A logically isolated network to deploy your resources. which you can explore.

Cloud Computing 52

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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. .

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Cloudera

DECEMBER 10, 2020

For an overview of CDW’s architecture, see DW Built for the cloud. CDW architecture is elastic and simplifies capacity planning. 2,300 / month for the cloud hardware costs. 150 / month for the cloud storage. 5,394 / month for storage access costs (scan, read, write).

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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.

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Bytes Google Cloud Cloud Storage Utilities 70

ProjectPro

FEBRUARY 6, 2023

Event-Driven Architecture Events can be made available in their raw or processed form to various applications throughout your team and business for real-time processing. Pub/Sub supports the "enterprise event bus" and event-driven application architecture patterns.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

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. Databricks also pioneered the modern data lakehouse architecture, which combines the best of data lakes and data warehouses.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

FEBRUARY 20, 2024

Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources. Scalability : Cloud-native architecture ensures that as your data volumes grow, Fivetran can automatically adjust to maintain performance.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Monte Carlo

JANUARY 27, 2024

Those tools include: Table of Contents Cloud storage and compute Data transformation Business Intelligence (BI) Data observability Data orchestration The most important part? 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 52

Building Business Intelligence Cloud Storage BI 52

Knowledge Hut

NOVEMBER 16, 2023

The AWS services cheat sheet will provide you with the basics of Amazon Web Service, like the type of cloud, services, tools, commands, etc. Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, mastering Google Cloud Storage enables you to efficiently store, retrieve, and manage various types of data, ensuring seamless data management in the cloud. Similarly, we have jotted the essential technical Google Cloud Platform Skills which are as follows: a.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 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. 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

phData: Data Engineering

APRIL 4, 2023

Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

An Azure cloud engineer is responsible for multiple cloud-related activities. They analyze the IT infrastructure within an organization to find possible ways to make the cloud switch. These professionals learn the Microsoft Windows Azure platform architecture and get trained in various cloud technologies.

Cloud 52

Cloud Engineering Programming Language Cloud Computing 52

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.

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Machine Learning Data Science Data Security Data Storage 92

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 Database Design Machine Learning 98

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.

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ProjectPro

JANUARY 24, 2023

This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. BigQuery can process upto 20 TB of data per day and has a storage limit of 1PB per table. Search no more! Did you know ? What’s more?

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Bytes Google Cloud Data Warehouse Datasets 52

WeCloudData

OCTOBER 19, 2021

The team was able to achieve this by leveraging cloud as well as open source tools in a modular set up, taking advantage of relatively cheap cloud storage, a versatile programming language in Python and Spark’s powerful processing engine.

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WeCloudData

OCTOBER 19, 2021

The team was able to achieve this by leveraging cloud as well as open source tools in a modular set up, taking advantage of relatively cheap cloud storage, a versatile programming language in Python and Spark’s powerful processing engine.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Knowledge Hut

SEPTEMBER 28, 2023

It is made for people who are unfamiliar with AWS and cloud computing, giving them a thorough introduction to the main ideas and features of AWS. Cloud Concepts (28%) Define the AWS Cloud and its value proposition. Understand the basic AWS Cloud architectural principles. Explain the benefits of cloud computing.

AWS 52

AWS Certification Amazon Web Services Cloud 52

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 .

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Data Warehouse Cloud Kafka Cloud Storage 70

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.

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Data Governance Government Amazon Web Services Cloud Computing 107

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.

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Data Architect Certification Generalist Big Data 87

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.

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Metadata Bytes Media Cloud Storage 69

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.

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Cloud Storage Unstructured Data AWS Analytics Application 68

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.

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Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

JULY 26, 2023

Whether you are seeking on-the-go access to information or an organization missing scalable infrastructure and collaboration capabilities, knowing the distinctions between mobile computing and cloud computing can help you make the best decisions for your computing needs.

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Banking 52