Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Foundational data technologies. Data Platforms. Data Integration and Data Pipelines.

Big Data 85

Big Data Technology Tools Cloud 85

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

TechCrunch

DECEMBER 16, 2020

It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”

Data 251

Data B2C Analytics Big Data 251

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

O'Reilly Media - Ideas

APRIL 9, 2019

Or, why science and engineering are still different disciplines. "A He would have to ask an engineer to do it for him.". A few months ago, I wrote about the differences between data engineers and data scientists. That was interesting because the data engineers didn’t push back saying they’re data scientists.

Data Engineering 111

Data Engineering Engineering Data Technical Review 111

InfoQ Culture Methods

SEPTEMBER 6, 2019

Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer.

Analytics 63

Analytics Agile Data Big Data 63

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. Not long ago, the New York Times published a fascinating article about a rug designer named Luke Irwin who lives in Wiltshire, England. Data-driven insights can boost user satisfaction, make a business more competitive, and increase profits. Dig deep without a backhoe.

Big Data 40

Big Data Network Analytics Data 40

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Dzone - DevOps

FEBRUARY 16, 2023

However, in today's era, what's more, important than the data itself is the ability to locate your wanted information among all the overflowing data quickly. So in this article, I will talk about how I improved overall data processing efficiency by optimizing the choice and usage of data warehouses.

Data 87

Data ChatGPT Storage Architecture 87

Altexsoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. How about Edison? Or Da Vinci?

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Artificial Inteligence Machine Learning 117

Altexsoft

MARCH 16, 2021

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. What is Big Data and its sources in healthcare? What is Big Data and its sources in healthcare? Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Hacker Earth Developers Blog

JUNE 26, 2019

Finding the right candidate for the Data Science role. Finding the right candidate for the role of a Data Scientist can be tricky and challenging. This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science.

Data 200

Data How To Machine Learning Artificial Inteligence 200

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

CTOvision

MARCH 1, 2016

HDF is a data-in-motion platform for real-time streaming of data and is a cornerstone technology for the Internet of Anything to ingest data from any source to any destination. now integrates streaming analytics engines Apache Kafka and Apache Storm for delivering actionable intelligence. Related articles.

Analytics 61

Analytics Strategy Big Data Data Engineering 61

The Citus Data

MARCH 31, 2023

(Americas livestream, keynote, civic data, Datasette, SQLite, Postgres futures) The Distributed PostgreSQL problem & how Citus solves it , by Marco Slot who is the lead architect for the Citus database engine at Microsoft.

Azure 84

Azure Open Source Virtualization Software Engineering 84

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

SEPTEMBER 26, 2018

Malcolm’s books and articles often provide unexpected insights which helps us understand the events around us and enable us to make better decisions. While Malcolm is known for his best sellers, there are a lot of ideas that are created in his New Yorker articles that are creating even more interest today.

Software Review 60

Software Review Systems Review Technical Review Big Data 60

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 Data Center Machine Learning 86

Hacker Earth Developers Blog

JUNE 26, 2019

Finding the right candidate for the Data Science role. Finding the right candidate for the role of a Data Scientist can be tricky and challenging. This article will help you understand what Data Science is and what skill sets to look for in a candidate when hiring for a Data Science role. . Data Science.

Data 100

Data How To Machine Learning Artificial Inteligence 100

Confluent

FEBRUARY 28, 2019

For details on the format and internals, please see our previous article or the documentation for the Neo4j sink. We are also working with several collaborators on a few article series on how to use our Kafka integration in practice. You control ingestion by defining Cypher statements per topic that you want to ingest. Stay tuned.

Open Source 88

Open Source Testing Data System 88

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. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Capgemini

NOVEMBER 14, 2022

For self-service BI to succeed, however, the entire data value chain may need to be fixed. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. Prior, he was responsible for Informatica’s Intelligent Data Platform.

Agile 52

Agile Technical Review Systems Review Culture 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. Who needs a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Source: The Wall Street Journal.

Big Data 59

Big Data Data Google Cloud Open Source 59

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 Artificial Inteligence Machine Learning Policies 88

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric encompasses data movement, data storage, data engineering, data integration, data science, real-time analytics, and business intelligence, along with data security, governance, and compliance. To read this article in full, please click here

Big Data 78

Big Data Azure Data Google Cloud 78

Altexsoft

JUNE 11, 2021

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. Besides, they hired a data scientist to further discover opportunities for process improvement and trained more people in big data.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

APRIL 13, 2023

To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake. You can also consider a cloud data lakehouse as an option since it addresses the limitations of the aforementioned repository types and works with various data workloads. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

MAY 27, 2020

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. Reasonably, with the access to data, anyone with a computer can train a machine learning model today.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

Kentik

AUGUST 14, 2017

Classifying Network Interfaces Enhances Engineering and Business Insights. Given that Kentik was founded primarily by network engineers, it’s easy to think of our raison d’etre in terms of addressing the day-to-day challenges of network operations. That brings us to the real fun, which is our new Interface Classification rules engine.

Network 40

Network Engineering LAN .Net 40

Altexsoft

AUGUST 19, 2022

So, in this article, we’ll talk about the current BI market leader – Microsoft Power BI – and discuss its functionality, pros and cons, and alternatives. Microsoft Power BI is an interactive data visualization software suite developed by Microsoft that helps businesses aggregate, organize, and analyze data. What is Power BI?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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