Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures.

Metrics 85

Metrics Government Lambda Systems Administration 85

Kentik

APRIL 16, 2023

DevOps is blind to the network While DevOps teams may be skilled at building and deploying applications in the cloud, they may have a different level of expertise when it comes to optimizing cloud networking, storage, and security. Following are a few key ways NetOps and DevOps can collaborate to make more reliable systems.

Network 64

Network Applications Development Load Balancer 64

Honeycomb

FEBRUARY 17, 2023

If you’re unfamiliar, a service map is a graph-like visualization of your system architecture that shows all of its components and dependencies. Using the intended data schema and storage location early on made for a seamless switchover to the streaming service data when it was ready.

System Architecture 52

System Architecture Architecture Engineering System 52

Infinidat

JANUARY 12, 2021

Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. This raises an interesting question: why do enterprise storage customers stay in vendor relationships that don't seem to meet their needs?

Storage 59

Storage Enterprise Artificial Inteligence Technical Support 59

Zensar

FEBRUARY 18, 2020

Hence, it is important to ensure that the overall data systems architecture is well defined, nuanced for specific needs and follows best practices and guidelines for data management. Data storage requirements in terms of data warehouse or data lakes or operational data store. Data Management.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. This dual-system architecture requires continuous engineering to ETL data between the two platforms.

Artificial Inteligence 292

Artificial Inteligence Data Artificial Intelligence Analytics 292

Xicom

DECEMBER 26, 2018

Implementation of IoT in the manufacturing industry is as following: For example, in the manufacturing industry, IoT can build intelligent factories, facility management, production process monitoring, inventory management, forecasting and preventive quality testing, security and storage, warehouse optimization, supply chain management.

IoT 40

IoT Industry Artificial Inteligence Development 40

Brainvire

OCTOBER 22, 2018

The current architecture, based on SQL, was creating a hindrance to find patients based on certain criteria, and also took far more time to process (nearly 2 weeks ). X Pack, a component of the Elastic Stack ensures secure storage and retrieval of sensitive patient data and meet HIPAA requirements. “We

Industry 40

Industry Case Study Automotive Healthcare 40

Netflix Tech

SEPTEMBER 24, 2021

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 95

Cloud Storage Video Media 95

Altexsoft

MAY 21, 2021

FHIR-native system architecture. As an alternative storage. You can also use FHIR as a data storage. This also applies to cases when you need temporary storage while your development team is working on an adapter. Of course, this approach would work for a few specific use cases. For prototypes and new products.

Technical Review 72

Technical Review Healthcare Weak Development Team Resources 72

Trigent

NOVEMBER 24, 2021

Incorporate flexibility to scale with Modern EDI system architecture. Encrypted transfer protocols and proper data storage are critical for end-to-end processes. APIs help connect directly to applications and transactional systems like ERP for instant data transfer. Here are our top 3 recommendations.

Systems Review 97

Systems Review System B2B Technical Review 97

Netflix Tech

MARCH 14, 2023

As we developed more media understanding algos and wanted to expand to additional use cases, we needed to invest in system architecture redesign to enable researchers and engineers from different teams to innovate independently and collaboratively. This service leverages Cassandra and Elasticsearch for data storage and retrieval.

Media 116

Media Innovation UI/UX Machine Learning 116

AWS Machine Learning - AI

NOVEMBER 24, 2023

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Note that in this solution, all of the storage is in the UI. Admin portal – This portal provides oversight of the system and product listings, ensuring smooth operation.

Generative AI 92

Generative AI eCommerce Lambda AWS 92

Dell EMC

AUGUST 13, 2020

The Data Accelerator from Dell Technologies breaks through I/O bottlenecks that impede the performance of HPC workloads In high performance computing, big advances in system architectures are seldom made by a single company working in isolation.

System Architecture 107

System Architecture Architecture Performance System 107

Altexsoft

APRIL 16, 2021

A typical OLAP system will include the following components that perform dedicated functions to handle analytical queries: Data source. This could be a transactional database or any other storage we take data from. A transactional or OLTP database is a common storage solution we deal with to record any of our business information.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Apiumhub

SEPTEMBER 14, 2023

This is achieved by triggering the main function through the BlobTrigger, which monitors the specified storage for new file additions. By separating the notification-sending process into its own activity function, the overall system architecture becomes more modular and maintainable.

Azure 52

Azure Scalability Storage Performance 52

Altexsoft

JULY 9, 2021

Besides that, edge computing allows you to occupy less cloud storage space owing to the fact that you save only the data you really need and will use. Similar to edge and fog computing, cloud computing supports the idea of distributed data storage and processing. Edge computing architecture. unlimited scalability.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

AUGUST 21, 2019

Any system dealing with data processing requires moving information between storages and transforming it in the process to be then used by people or machines. The extraction phase entails defining required data sources, whether it is an ERP, CRM, or third-party systems, and gathering data from them. Data Warehouse Architecture.

Development 44

Development Software Engineering Data Engineering Architecture 44

Netlify

MAY 4, 2020

If we kept all the references in a single document we run into the storage limitations of MongoDB. But, of course, there’s more nuance in actually making this change: from coordination between different services, languages, deploy types, and deploy styles to how to roll it out on an already running system. The Nitty Gritty.

Infrastructure 84

Infrastructure Systems Review Testing Software Review 84

Mentormate

NOVEMBER 9, 2021

No surprise, we will again start with the Wikipedia definition: “A NoSQL database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.”. SQL allows us to connect to different databases, but the way we communicate with them is identical.

Scalability 98

Scalability Games System Examples 98

Instaclustr

MAY 19, 2021

In order to perform this critical function of data storage and protection, database administration has grown to include many tasks: Security of data in flight and at rest. Interpretation of data through defined storage. Acquisition of data from foreign systems. Security of data at an application access level. P stands for post.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. The first layer would abstract infrastructure details such as compute, network, firewalls, and storage—and they used Terraform to implement that. But cloud alone doesn’t solve all the problems.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

Netflix Tech

DECEMBER 14, 2018

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. Conductor helps us achieve a high degree of service availability and data consistency across different storage backends.

Media 94

Media Systems Review Storage Performance 94

Confluent

MARCH 13, 2019

It can be used for streaming data into Kafka from numerous places including databases, message queues and flat files, as well as streaming data from Kafka out to targets such as document stores, NoSQL, databases, object storage and so on. His particular interests are analytics, systems architecture, performance testing and optimization.

Software Review 111

Software Review Systems Review Technical Review Metrics 111

Altexsoft

OCTOBER 3, 2019

A provider maintains the platform and handles the storage of your data. Data warehouse developer models, develops, and maintains data storages. ETL developer is a software engineer that manages the extraction of data from sources, its transformation, and loading it into a final storage system. Tools for data integration.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Confluent

OCTOBER 16, 2019

In S3, it can be seen as the “cold storage”, or the data lake, against which as-yet-unknown applications and processes may be run. Kafka Connect is used to stream the data from the enriched topics through to the target systems: Elasticsearch. Amazon S3 ( Google Cloud Storage and Azure Blob Storage connectors are also available).

Data 19

Data Training Analytics Storage 19

Confluent

FEBRUARY 12, 2019

From there these events can be used to drive applications, be streamed to other data stores such as search replicas or caches and streamed to storage for analytics. His particular interests are analytics, systems architecture, performance testing and optimization. You can also follow him on Twitter.

Firewall 88

Firewall Data Examples How To 88

LeanEssays

JULY 14, 2019

It involves a lot of automation and is usually accompanied by a change in system architecture, organizational structure, and incentives (more on that later). That’s when newly minted internet companies tried to grow systems many times larger than any enterprise could manage.

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

Datica

JUNE 17, 2019

Amit served in the Israel Defense Force’s elite cyber intelligence unit (Unit 81) and is a cybersecurity expert with extensive experience in system architecture and software development. He is the author of 7 patents issued by the USPTO for storage, mobile applications, and user interface. Karan Shah. karan_shah89.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40