Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

NOVEMBER 7, 2024

As leaders in the technology landscape, it is imperative that we recognize data is a shared asset, essential to every function within our organization. Whether you’re in claims, finance, or technology, data literacy is a cornerstone of our collective accountability. I think we’re very much on our way.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities.

Architecture 124

Architecture Data Security Technical Review 124

CIO

AUGUST 3, 2022

The target architecture of the data economy is platform-based , cloud-enabled, uses APIs to connect to an external ecosystem, and breaks down monolithic applications into microservices. If we didn’t move to a platform approach, we would still be funding these huge programs.”. The democratization of IT. The cloud.

Leadership 218

Leadership IoT Artificial Inteligence Machine Learning 218

O'Reilly Media - Ideas

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Coincidence?

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 215

LAN Systems Administration How To Software Engineering 215

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

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

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies.

Artificial Inteligence 236

Artificial Inteligence Machine Learning Company Case Study 236

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Artificial Inteligence 52

CIO

JULY 29, 2022

But it’s Capital Group’s emphasis on career development through its extensive portfolio of training programs that has both the company and its employees on track for long-term success, Zarraga says. The TREx program gave me the space to learn, develop, and customize an experience for my career development,” she says. “I

Groups 147

Groups Security Development Programming 147

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Each data model has its own advantages and storing intermediate step results has significant architectural advantages.

Data Engineering 69

Data Engineering Engineering Data Storage 69

CIO

NOVEMBER 7, 2023

Lakehouse architecture supports data-driven decisions Printing and digital imaging company Lexmark “has been on a journey to become a data-driven company for the last five to seven years, given we realized that data is the new ‘gold,’” says Vishal Gupta, global CTO and CIO and senior vice president of connected technology at Lexmark.

Data 213

Data Artificial Inteligence Architecture Analytics 213

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

SEPTEMBER 28, 2021

Python is a general-purpose, interpreted, object-oriented, high-level programming language with dynamic semantics. Compiled vs. Interpreted programming languages. Often seen as a pure OOP language, Python, however, allows for functional programming, which focuses on what needs to be done (functions.) What is Python? High-level.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CIO

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. Without the right internal organization, even the most promising gen AI programs could fall short.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

Altexsoft

MAY 27, 2020

That’s how modern fraud detection works, delivery apps predict arrival time on the fly, and programs help in medical diagnostics. ML in its turn suggests methods and practices to train algorithms on this data to solve problems like object classification on the image, without providing rules and programming patterns.

Artificial Inteligence 89

Artificial Inteligence Machine Learning Architecture Training 89

O'Reilly Media - Data

JULY 18, 2018

My goal was to remind the data community about the many interesting opportunities and challenges in data itself. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data.

Artificial Inteligence 195

Artificial Inteligence Machine Learning Data Marketing 195

Perficient

MARCH 23, 2023

Databricks Streaming and Apache Flink are two popular stream processing frameworks that enable developers to build real-time data pipelines, applications and services at scale. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83

Data Artificial Inteligence Machine Learning Data Engineering 83

InfoQ Culture Methods

MAY 24, 2023

GDPR compliance should be a default feature in every application that handles PII (Personally Identifiable Information). Most organizations have an impression that GDPR is a luxury feature that needs special tools to implement.

Programming 114

Programming Compliance Applications Tools 114

CIO

SEPTEMBER 2, 2022

Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. The average salary for a full stack software engineer is $115,818 per year, with a reported salary range of $85,000 to $171,000 per year, according to data from Glassdoor.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

APRIL 24, 2023

After stints as a call center representative and claims adjuster, Merola got wind of the HartCode Academy, an internal program designed to help nontechnical employees make the leap into software development. For Novant Health, students have become an active, yet nontraditional resource for handling certain IT responsibilities.

Technical Advisors 167

Technical Advisors Training Recruiting Programming 167

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies. Programming background.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

JULY 1, 2019

Neural-backed generators are a promising step toward practical program synthesis. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. Data engineers additionally need to master several pieces of infrastructure.

Software Development 90

Software Development Artificial Inteligence Software Machine Learning 90

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. 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

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44

CIO

JUNE 27, 2024

Enterprise-wide, tech-enabled transformation programs would no longer be one-off events; instead, they were destined to become fixtures in Vulcan’s pursuit for continuous improvement. To ensure these can be properly absorbed, Vulcan also invested in maturing its enterprise architecture muscle. Enter Soltan.

Construction 147

Construction Industry Architecture Mobile 147

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115