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. Primary research performed by IDC in 2019 indicates, however, that 61.2% Adriana Andronescu. Tue, 01/12/2021 - 13:52.

Storage 59

Storage Enterprise Artificial Inteligence Technical Support 59

Brainvire

OCTOBER 22, 2018

Query – Ask any question or perform any type of search – structured, unstructured, geo, metric, etc. ShopBack’s current user-search architecture was based on AWS Cloud platform. Due to performance issues, the search functionality was lagging considerably and was not able to keep up to the expectations of the larger audience.

Industry 40

Industry Case Study Automotive Healthcare 40

Netflix Tech

SEPTEMBER 24, 2021

The ProRes codec family provides great editing performance and image quality. 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. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 95

Cloud Storage Video Media 95

Netflix Tech

MARCH 14, 2023

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. In addition, we were able to perform a handful of A/B tests to validate or negate our hypotheses for tuning the search experience. It allowed us to transparently update the algo data without users knowing about it.

Media 116

Media Innovation UI/UX Machine Learning 116

Trigent

NOVEMBER 24, 2021

The responsibility on the technologies and architecture that connect retailers, distributors, suppliers, manufacturers, and customers is enormous. Incorporate flexibility to scale with Modern EDI system architecture. Encrypted transfer protocols and proper data storage are critical for end-to-end processes.

Systems Review 97

Systems Review System B2B Technical Review 97

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 109

System Architecture Architecture Performance System 109

AWS Machine Learning - AI

NOVEMBER 24, 2023

The power of Amazon Bedrock: AI-generated product descriptions Amazon Bedrock is a fully managed service that simplifies generative AI development, offering high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API.

Generative AI 89

Generative AI eCommerce Lambda AWS 89

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. Namely, we’ll explain what functions it can perform, and how to use it for data analysis. Analytical interface. Data operations in OLTP.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

JULY 9, 2021

better performance, shorter response times, real-time insights, and. 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.

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

Apiumhub

SEPTEMBER 14, 2023

During the fan-out phase, tasks are initiated in parallel to perform different activities concurrently. Through the fan out/fan in pattern, we can efficiently divide and conquer the data processing task, achieving improved performance and overall efficiency. the data would lead to increased processing time as the file size grew.

Azure 52

Azure Scalability Storage Performance 52

Netlify

MAY 4, 2020

Our platform was growing, and as more enterprise customers at scale were depending on us, some performance issues began to surface. If we kept all the references in a single document we run into the storage limitations of MongoDB. We could take advantage of this to have shorter tree depth to improve performance.

Infrastructure 85

Infrastructure Systems Review Testing Software Review 85

Confluent

MARCH 4, 2019

Today, companies from all around the world are witnessing an explosion of event generation coming from everywhere, including their own internal systems. These systems emit logs containing valuable information that needs to be part of any company strategy. This architecture is functional but has lots of drawbacks.

Cloud 87

Cloud Fractional CTO Software Review Banking 87

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. A specific media analysis that has been performed on various media assets (e.g.,

Media 94

Media Systems Review Storage Performance 94

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.

Database Administration 36

Database Administration Storage Weak Development Team Open Source 36

Mentormate

NOVEMBER 9, 2021

If there is a corner kick happening, you don’t know from which side and who performed the kick itself. So, let’s extend the sheet by adding two additional columns called “Side” and “Who performs corner.” The first version of your sheet is very simple, something like this: This is a good starting point, but lacks detail.

Scalability 98

Scalability Games System Examples 98

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

performing and high?potential Creating and maintaining the great environment comes along with the understanding who the high performers are and how to keep them inspired, as well as who is lagging and why. The next consideration is whether to get an off-the-shelf tool or to build your system. Off-the-shelf solutions.

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. This is relatively high in latency and has negative performance implications for the datastore. 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. Another is to stream the source tables into individual Kafka topics and then use KSQL or Kafka Streams to perform joins as required. You can also follow him on Twitter.

Firewall 87

Firewall Data Examples How To 87

LeanEssays

JULY 14, 2019

As the company outgrew its traditional cathedral-style software architecture in the early 2000’s, the leadership team felt that the growing pains could be addressed with better communication between teams. In other words, a bazaar-style hardware architecture was vastly superior to a cathedral-style architecture.)

Software Review 91

Software Review Software Engineering Continuous Delivery Technical Review 91

Datica

JUNE 17, 2019

Patients not only benefit from faster, more precise care, but they also have readily available access to their medical records and can perform tasks such as scheduling appointments and communicating with providers with ease. He is the author of 7 patents issued by the USPTO for storage, mobile applications, and user interface.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40