Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. Source: www.oracle.com.

Analytics 20

Analytics Data IoT Analysis 20

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. He regularly publishes articles on Big Data and Analytics on Forbes. Bernard Marr.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Supply chain management process. Cost control. Shipment tracking and vehicle maintenance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JULY 23, 2020

This article. It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Machine Learning Data Center 86

Apiumhub

SEPTEMBER 20, 2023

In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. This tech conference is a great opportunity for all professionals and organizations working with the utilization of Data Science, Machine, and Deep Learning to innovate and improve their businesses. Interested in attending?

Conference 98

Conference Artificial Inteligence UI/UX Machine Learning 98

Altexsoft

DECEMBER 9, 2020

Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. To generalize and describe the basic maturity path of an organization, in this article we will use the model based on the most common one suggested by Gartner.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

JUNE 14, 2021

This article will explore the topic and its importance, how some insurers are already implementing it as their business model, how to approach personalization, and the challenges companies may encounter trying to implement it. You’ll need a data engineering team for that. How data engineers and data platforms work.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Cloudera

MAY 18, 2021

Finally, IaaS deployments required substantial manual effort for configuration and ongoing management that, in a way, accentuated the complexities that clients faced deploying legacy Hadoop implementations in the data center. Experience configuration / use case deployment: At the data lifecycle experience level (e.g.,

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Data Security Technical Review 124

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Key disciplines and roles in data management.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? Kafka cluster and brokers. Red Hat , acquired by IBM.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Kentik

MAY 31, 2023

In this article, I want to underscore why NetOps has an integral role (and more responsibility) in delivering on the promise of reliability and highlight a few examples of how engineering for reliability can make networks less reliable. I wrote an article a while ago addressing latency.

Network 52

Network Cloud Load Balancer Systems Review 52

Altexsoft

FEBRUARY 22, 2022

As we discussed in one of our previous articles, there are three main types of maintenance policies : reactive, preventive, and predictive (the two latter categories are referred to as proactive maintenance). Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Make sure to check out our dedicated article.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Data availability. Please note!

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

JULY 19, 2022

She formulated the thesis in 2018 and published her first article “How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh” in 2019. Since that time, the data mesh concept has received a lot of attention and appreciation from companies pioneering this idea. Decentralized data ownership by domain.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 24, 2019

And this data can be used to support decision making. While our brain is both the processor and the storage, companies need multiple tools to work with data. And one of the most important ones is a data warehouse. Reflects the source data. And this is what makes a data warehouse different from a Data Lake.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

JUNE 7, 2021

Which Big Data tasks does Spark solve most effectively? This article gives you all the answers — one by one. No real-time data processing. MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Owing to this fact, Spark doesn’t perfectly suit IoT solutions.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Altexsoft

SEPTEMBER 10, 2021

Information often resides across countless distributed data sources, resulting in data silos. To get a single unified view of all information, companies opt for data integration. What is data integration and why is it important? These systems can be hosted on-premises, in the cloud, and on IoT devices, etc.

Tools 52

Tools Data Software Review Technical Review 52

Kentik

DECEMBER 15, 2016

In the past year or so, various folks at Kentik have been blogging, podcasting , and writing articles about the need for cloud-based Network Performance Monitoring (NPM). By creating a distributed big data backend that’s purpose-built for the scale and speed of today’s network traffic.

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

NOVEMBER 10, 2021

A data lake is a repository to store huge amounts of raw data in its native formats ( structured, unstructured, and semi-structured ) and in open file formats such as Apache Parquet for further big data processing, analysis, and machine learning purposes. Moreover, they support real-time data, e.g., streams from IoT devices.

Architecture 52

Architecture Data Artificial Inteligence Machine Learning 52

Altexsoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Data democratization.

Data 59

Data Technical Review Software Review Open Source 59

Existek

JANUARY 11, 2022

Read the article. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Read the article.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

MARCH 16, 2021

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116