Altexsoft

APRIL 13, 2023

For example, you’ll deal with real-time data streams if you want to adopt predictive maintenance which requires constant condition monitoring or implement an RTLS system to continuously track your handling equipment and other assets. to develop all the data architecture and analytics solutions. Scalability. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Perficient

APRIL 1, 2024

Case Study A private equity organization wants to have a close eye on equity stocks it has invested in for their clients. They want to generate trends, predictions (using ML), and analyze data based on algorithms developed by their portfolio management team in collaboration with data scientists written in Python.

Data 64

Data Azure Case Study Data Engineering 64

Kentik

MARCH 7, 2023

Tenets of network observability A detailed explanation of network observability itself is out of the scope of this article, but I want to focus on its core tenets before exploring a couple of brief case studies. Network observability, when properly implemented, enables operators to: Ingest telemetry from every part of the network.

Network 99

Network Cloud Data Case Study 99

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 15

AWS Open Source Linux Engineering Management 15

Kentik

OCTOBER 25, 2016

How Scalable Architecture Boosts Accuracy in Detection. This scalable, adaptive approach to monitoring and anomaly detection has been field-proven to be far more accurate than legacy approaches. For more detail, read our PenTeleData case study. Deep analytics.

Scalability 40

Scalability Architecture Big Data Analytics 40

Cloudera

APRIL 21, 2022

Its evolution to the present-day cloud-based package is a real-world case study that will likely live in IT textbooks for as long as use cases will be referenced. . MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. The DoD’s budget of $703.7

Security 83

Security Data Insurance System 83

Kentik

MAY 31, 2017

It’s high time to move away from this legacy paradigm to a unified, scalable, real-time solution built on the power of big data. Kentik’s founders, who ran large network operations at Akamai, Netflix, YouTube, and Cloudflare, well understand the challenges faced by teams working with siloed legacy tools and fragmented data sets.

Network 40

Network Tools Big Data Metrics 40

Agile Engine

DECEMBER 27, 2023

Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10. Case study: leveraging AgileEngine as a data solutions vendor 11. Emerging trends 9.

Big Data 52

Big Data Analytics Data Analysis 52

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40