The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. They are responsible for designing, testing, and managing the software products of the systems. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering. Software Architect.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Altexsoft

OCTOBER 30, 2021

Engineers are not only the ones bearing helmets and operating on construction sites. Scientists don’t always wear lab coats or handle test tubes. Explaining the difference, especially when they both work with something intangible such as data , is difficult. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Apiumhub

DECEMBER 9, 2024

Azure Key Vault Secrets offers a centralized and secure storage alternative for API keys, passwords, certificates, and other sensitive statistics. Azure Key Vault is a cloud service that provides secure storage and access to confidential information such as passwords, API keys, and connection strings. What is Azure Key Vault Secret?

Azure 91

Azure Analytics Storage Machine Learning 91

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever. What’s next.

Data Engineering 85

Data Engineering Performance Engineering Data 85

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

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

Honeycomb

APRIL 23, 2025

download Model-specific cost drivers: the pillars model vs consolidated storage model (observability 2.0) All of the observability companies founded post-2020 have been built using a very different approach: a single consolidated storage engine, backed by a columnar store. and observability 2.0. understandably). moving forward.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

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 This makes it easier to test intermediate results, simplifies code, and often produces simpler SQL code that runs faster.

Data Engineering 69

Data Engineering Engineering Data Storage 69

Xebia

JANUARY 9, 2024

Yes, dbt does provide logs to the stdout for every model and test execution, however in my opinion this is not sufficient to base your whole monitoring around. These log records will show the name of the model or test, the execution time, and the execution status (passed, warned, or failed). Whenever dbt runs (e.g.

Testing 130

Testing Data Open Source Applications 130

O'Reilly Media - Data

APRIL 3, 2018

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. 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. Data platforms. Privacy and security.

Machine Learning 240

Machine Learning Artificial Inteligence Company Case Study 240

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Solution overview Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge.

Data 110

Data AWS Groups Knowledge Base 110

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. This blog post is for you. So let’s begin with the first and, in my opinion, the most useful tool in your technical tool belt, SQL. CROSS JOIN.

Data Engineering 59

Data Engineering Engineering Data Windows 59

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics and data science are closely related.

Analytics 203

Analytics Data Analysis Business Analytics 203

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

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

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 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP.

Big Data 190

Big Data Analytics Data eLearning 190

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Supports Disaggregation of compute and storage.

Data 101

Data Storage Architecture Big Data 101

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

AWS Machine Learning - AI

MARCH 18, 2025

To evaluate the models accuracy and track the mechanism, we store every user input and output in Amazon Simple Storage Service (Amazon S3). Choose your testing environment. We recommend that you test in Amazon SageMaker Studio , although you can use other available local environments. Sonnet on Amazon Bedrock.

Artificial Inteligence 100

Artificial Inteligence Applications Generative AI Off-The-Shelf 100

Erik Bernhardsson

DECEMBER 6, 2022

In backend development it's running unit tests (or sometimes, just compiling). Data is sort of weird because you have to run things on production data to have these sort of feedback loops. Whether you're running SQL or doing ML, it's often pointless to do that on non-production data. I will be posting a lot more about it!

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

Altexsoft

OCTOBER 29, 2020

How do you trust data with any transformative decisions when there’s a chance that some of it has been lost, or incomplete, or is simply irrelevant to your business case? What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

CIO

SEPTEMBER 2, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineer. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineer. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

JUNE 19, 2024

Staff up for the future Simms also looks for skill sets that will prepare the organization for the future, including AI, ML, and chaos engineering. AI is 100% disrupting platform engineering,” Srivastava says, so it’s important to have the skills in place to exploit that. “AI Position teams to take advantage of AI.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 150

Azure Linux Technical Review Course 150

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

AWS Machine Learning - AI

NOVEMBER 15, 2024

The first data source connected was an Amazon Simple Storage Service (Amazon S3) bucket, where a 100-page RFP manual was uploaded for natural language querying by users. The data source allowed accurate results to be returned based on indexed content. Joel Elscott is a Senior Data Engineer on the Principal AI Enablement team.

Generative AI 113

Generative AI AWS Groups Artificial Inteligence 113

Erik Bernhardsson

DECEMBER 15, 2020

Not to mention the changes in developer processes : Unit tests were really rare in the industry — I first encountered it working at Google in 2006. Decades ago, software engineering was hard because you had to build everything from scratch and solve all these foundational problems. Today it's 15 minutes using Stripe.

Software Engineering 325

Software Engineering Engineering Tools Software 325

Honeycomb

APRIL 21, 2025

The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering). Your company most likely has a data team that manages the data warehouse(s), data pipelines, data sources, and reporting tools.

Strategy 52

Strategy Data Technical Review Software Review 52

CIO

FEBRUARY 14, 2023

Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal. Flexible and easy-to-work-with data models are the oil that makes the engine for building models run smoothly. The storage for these features is referred to as a feature store.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

JUNE 22, 2023

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

AWS Machine Learning - AI

JULY 15, 2024

Data intake A user uploads photos into Mixbook. The raw photos are stored in Amazon Simple Storage Service (Amazon S3). The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS. DJ Charles is the CTO at Mixbook.

Generative AI 120

Generative AI Artificial Inteligence AWS Technical Review 120

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). It includes major services related to compute, storage, network, and security, and is aimed at those in administrative and technical roles looking to validate administration knowledge in cloud services.

Azure 134

Azure Linux Technical Review Course 134

Altexsoft

NOVEMBER 28, 2019

Let’s break them down: A data source layer is where the raw data is stored. Those are any of your databases, cloud-storages, and separate files filled with unstructured data. These are both a unified storage for all the corporate data and tools performing Extraction, Transformation, and Loading (ETL).

Business Intelligence 22

Business Intelligence Development Technical Review Storage 22

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.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107