Xebia

MAY 16, 2023

Data Engineers were tempted by the pressure of the moment to give up on testing all together. There was no need for generating your own data; just take a percentage of production data. In many cases, these tasks ended up on the shoulders of the Data Engineers themselves. Overly restrictive governance.

Testing 130

Testing How To Data Engineering Engineering 130

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Innovation 70

Innovation Machine Learning Artificial Inteligence Technical Review 70

CTOvision

JULY 13, 2015

Cognitio is a strategic consulting and engineering firm with a track record of helping clients address their hardest challenges. Exemplars of key positions/experiences we are looking for include: Data Scientist. Systems Engineer. Systems Architect. Data Engineer. Systems Engineer.

Systems Review 109

Systems Review Technical Review Fractional CTO Data Engineering 109

Apiumhub

NOVEMBER 17, 2022

Clare Sudbery – Independent Technical Coach specialized in TDD, refactoring, continuous integration, and other eXtreme Programming (XP) practices. Dave Farley – Pioneer of Continuous Delivery & Author of the books “Continuous Delivery” and “Modern Software Engineer”. Who Do You Trust? Beware of Your Brain!

Technical Review 79

Technical Review Software Review Fractional CTO CTO Coach 79

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

Hu's Place - HitachiVantara

APRIL 11, 2019

According to the Harvard Business Review , " Cross-industry studies show that on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all. However, large data hubs over the last 25 years (e.g.,

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Cloudera

MAY 27, 2021

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Then you have to feed it the right data – plenty of it.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Rule Execution Engine is responsible for matching the collected logs against a set of predefined rules.

Artificial Inteligence 86

Artificial Inteligence Machine Learning Data Systems Review 86

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. How do I detect problems due to skew? How do I make sense of the stats?

Systems Review 76

Systems Review Metrics Trends Performance 76

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

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

d2iq

FEBRUARY 19, 2021

As little as 5% of the code of production machine learning systems is the model itself. 2015): Hidden Technical Debt in Machine Learning Systems. The model itself (purple) accounts for as little as 5% of the code of a machine learning system. The data engineer’s main focus is on ETL: extracting, transforming, and loading data.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 123

Artificial Inteligence Generative AI Security Applications 123

CIO

JULY 14, 2023

For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow. As so often happens with new technologies, the question is whether to build or buy.

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Customers look to third parties for transitioning to public cloud, due to lack of expertise or staffing. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

Cloud 78

Cloud Google Cloud Azure AWS 78

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

But with major growth, comes growing pains: more specifically, disparate data silos and disconnected, legacy systems. To revolutionize its relationship with data, Volkswagen Pon Financial Services turned to TIBCO solutions—and its success story is a great example of how you can too. Accelerated Growth Fuels Change.

Virtualization 32

Virtualization Data Insurance Software Review 32

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

Apps Associates

JULY 28, 2022

This blog introduces you to Oracle Cloud Infrastructure (OCI) Data Integration service and reviews how to setup Data Integration workspace in OCI. I love Data Integration in OCI and hope to get you excited about this great product as well. Rules-based data integration pattern to support schema evolution.

Infrastructure 52

Infrastructure Cloud Data Linux 52

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? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

O'Reilly Media - Ideas

JUNE 4, 2019

Reinforcement Learning: Building Recommender Systems , August 16. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Real-time Data Foundations: Spark , August 15.

Course 62

Course Training Artificial Inteligence Software Review 62

Altexsoft

JULY 23, 2020

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. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Consideration of both data & metadata in the migration.

Data 85

Data Analytics Cloud Technical Review 85

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. The ultimate goal of an SCCT is to support efficient, data-based decision-making, planning, and risk management, as well as quick and effective reactions to disruption.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Openxcell

MAY 8, 2023

If you’re still in doubt about how to prevent data leakage, hire a big data engineer. Types of Data Leakage In the World of Data Security, there are many types of data leakage; it is crucial to understand that it can stem from internal or external sources.

Data 52

Data Software Review Technical Review Systems Review 52

Hu's Place - HitachiVantara

SEPTEMBER 26, 2018

The music industry was panicked over the loss of revenue, but today the music industry is making more money than ever due to live performances which are promoted by their music. Data bases were great at solving puzzles, but the complex nature of today’s business is more of a mystery that requires big data and analytics.

Software Review 60

Software Review Systems Review Technical Review Big Data 60

O'Reilly Media - Ideas

JUNE 5, 2019

Reinforcement Learning: Building Recommender Systems , August 16. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Real-time Data Foundations: Spark , August 15.

Course 47

Course Training Artificial Inteligence Software Review 47

Capgemini

NOVEMBER 14, 2022

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. A data catalog for trust. First, though, users need to find the data.

Agile 52

Agile Technical Review Systems Review Culture 52

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. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

OCTOBER 29, 2020

When data is subjective and accurate, it gives us a better understanding than we can fathom with our human brains. Because as any system, data processing is subject to mistakes. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

JUNE 11, 2021

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. What is process mining?

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

SEPTEMBER 9, 2022

These are important for SEO purposes because search engines use them to “understand” what the page is about and how it has to be displayed and ranked in search results. Such uniform usage enables interoperability and integration between disparate systems. Usually such files are kept in a database system – a metadata repository.

Tools 59

Tools Technical Review Software Review Systems Review 59

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 Machine Learning 52

O'Reilly Media - Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants.

Enterprise 200

Enterprise Data Big Data Data Engineering 200

Altexsoft

JULY 29, 2022

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. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. 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. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Mobilunity

DECEMBER 21, 2022

Data is used in clinical trials, for predictive testing, electronic health records and disease registries. Tech companies use data science to enhance user experience, create personalized recommendation systems, develop innovative solutions, and more. Agriculture.

Data 52

Data How To Artificial Inteligence Machine Learning 52

Existek

JANUARY 11, 2022

In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Containers.

Azure 52

Azure AWS Cloud How To 52