Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. SSD) to bolster the performance of traditional storage platforms and support the ever-increasing IOPS and bandwidth requirements of their applications.

Storage 104

Storage Analytics System Data 104

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Government 357

Government Data Technical Review Policies 357

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Perficient

MARCH 19, 2024

BigQuery’s serverless architecture lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management. BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes.

Data 111

Data Google Cloud Analytics Serverless 111

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. To power our customers’ data, AI, and analytics needs, we are unveiling the next phase of our open data lakehouse , featuring several enhancements built to quickly scale enterprise AI and deliver unprecedented business value.

Data 86

Data Data Center Analytics Artificial Intelligence 86

Xebia

JANUARY 19, 2023

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. The best data engineers view their responsibilities through business and technical lenses.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. A modular architecture, where each module can intake model inference data and produce its own metrics, is necessary.

Artificial Inteligence 107

Artificial Inteligence AWS Lambda Metrics 107

Perficient

AUGUST 9, 2023

When combined with Redis, which excels in fast data retrieval and storage, you get a potent stack for creating high-performance applications. Redis’ lightning-fast data operations and Node.js’s non-blocking architecture align seamlessly to create responsive, scalable applications.

Performance 96

Performance Software Review Analytics Systems Review 96

Perficient

DECEMBER 13, 2023

Data Analyses To get insights from such vast and diverse data sets, an appropriate analytical tool is essential. Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. Scalability AWS provides EC2 instances that can be scaled up or down.

Healthcare 52

Healthcare AWS Lambda Data 52

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 The fourth industrial revolution or Industry 4.0 The concept of Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). On-prem infrastructure will grow cold — with the exception of storage, Nardecchia says.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

JUNE 29, 2021

These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.

Architecture 75

Architecture Microservices IoT Scalability 75

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. The speed, scalability, and flexibility that cloud computing offers enable firms to create, innovate, and support corporate IT solutions. For more storage, you must pay a price.

Architecture 52

Architecture Cloud Storage Google Cloud 52

TechCrunch

OCTOBER 7, 2021

Today a startup that’s built a scalable platform to manage that is announcing a big round of funding to continue its own scaling journey. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

CIO

APRIL 24, 2023

Google’s assistance in developing a more efficient cloud architecture and training UCR’s IT staff in cloud technologies has been an immeasurably valuable service, he says, adding that Google is in a support role and is not running the show. As such, migrating to the cloud alone was not part of Gunkel’s plan. It’s all our work.”

Research 130

Research Cloud Fractional CTO Data Center 130

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads. Best of CDH & HDP, with added analytic and platform features .

Architecture 96

Architecture Cloud Data Technical Advisors 96

CIO

JANUARY 5, 2023

Fidelity National Information Services And among low-code tools, for instance, FIS chose WaveMaker because its components seemed more scalable than its competitors, and its per-developer licensing model was less expensive than the per runtime model of other tools. Vikram Ramani, Fidelity National Information Services CTO.

Software Review 325

Software Review Tools Off-The-Shelf Technical Review 325

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

Apiumhub

MARCH 12, 2024

The Evolution of Cloud Computing Trends Edge Computing Redefining Latency Edge computing is poised to revolutionize cloud architecture by decentralizing computing power. This event-driven model enhances efficiency, scalability, and cost-effectiveness. As technology advances, innovations are shaping the future of cloud computing trends.

Trends 52

Trends Innovation Cloud Serverless 52

Datavail

DECEMBER 2, 2021

It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units. This speeds the work of data scientists and gets analytical insights into the right hands faster. You Get Better Query Performance.

Data 98

Data Analytics Azure Storage 98

The Crazy Programmer

SEPTEMBER 25, 2021

It shared-nothing architecture, which distributes a database across many, networked Db2 servers for scalability. DB2 9 allows you to store XML “natively,” as well as useful storage compression to conserve space on your hard drive. Supports a hybrid data management architecture with a broader scope.

Disaster Recovery 113

Disaster Recovery Backup Linux Storage 113

CIO

MAY 3, 2023

With nearly 140 employees, the high-performance data center provides government agencies with mission-critical compute, storage, and networking solutions needed to provide important services to citizens. One of the provided services is the high availability and performance of the VMware based vCloud platform. “We

Data Center 130

Data Center Government Development Team Review Systems Review 130

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Xebia

AUGUST 29, 2023

It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead. Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements.

AWS 147

AWS Performance Storage Linux 147

AWS Machine Learning - AI

FEBRUARY 6, 2024

The following diagram illustrates the solution architecture. The application uses the Amplify libraries for Amazon Simple Storage Service (Amazon S3) and uploads documents provided by users to Amazon S3. Amazon SQS enables a fault-tolerant decoupled architecture. His focus area is on Data, Analytics and Generative AI.

Generative AI 97

Generative AI AWS Lambda Technical Review 97

Presidio

APRIL 26, 2018

Now, a new class of solid-state drives, Intel® Optane™ SSDs for the data center, are proving themselves in multiple independent tests, accelerating storage performance for latency-sensitive workloads. A revolutionary melding of storage and memory. The team optimized its ESXi 6.5 X more VM’s per cluster.

Storage 71

Storage Performance Testing Data Center 71

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. Once the architecture and plan were in place, the hard work of building the solution began.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Cloudera

OCTOBER 15, 2021

As organizations wrangle with the explosive growth in data volume they are presented with today, efficiency and scalability of storage become pivotal to operating a successful data platform for driving business insight and value. Moreover, Ozone seamlessly integrates with Apache data analytics tools like Hive, Spark and Impala.

Performance 86

Performance Cloud Storage Analytics 86

TechCrunch

APRIL 22, 2022

According to the survey, 72% of companies believe their reliance on relational databases — including architectures built around them — limits their ability to implement digital transformation projects. Unsurprisingly, companies are increasingly embracing alternatives to relational databases, like NoSQL.

Fractional CTO 193

Fractional CTO Open Source Architecture Cloud 193

Infinidat

NOVEMBER 11, 2019

Treat Storage as Black Boxes to Optimize Infrastructure Designs. Gartner, with the publication of their 2019 Magic Quadrant for Primary Storage , which includes both Solid-State Arrays (a.k.a. Table 1 - Storage Array Product Attractiveness. . Drew Schlussel. Mon, 11/11/2019 - 9:42pm. See Table 2 below. ?.

Storage 40

Storage Infrastructure Architecture Disaster Recovery 40

Cloudera

SEPTEMBER 15, 2022

The gathering in 2022 marked the sixteenth year for top data and analytics professionals to come to the MIT campus to explore current and future trends. I spoke to Mark Ramsey of Ramsey International to unpack what this all means and how it can help teams create an architecture that delivers business use cases faster.

Data 78

Data Architecture Analytics Cloud 78

Kentik

FEBRUARY 4, 2021

Doing this at network scale has been a hard problem for decades, and requires a flexible, scalable, and high-performance data platform. High-cardinality storage : One requirement of a modern network telemetry data platform is the ability to store at high resolution, at full cardinality.

Network 80

Network Data Storage Analytics 80