Architecture, Data Engineering, Government and Social

Big Data Engineer: Role, Responsibilities, and Job Description

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

Big Data Data Engineering Engineering Data

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture

Architecture Data Storage Machine Learning

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

Augmented or virtual reality, gaming, and the combination of gamification with social media leverages AI for personalization and enhancing online dynamics. Many companies today struggle with legacy software applications and complex environments, which leads to difficulty in integrating new data elements or services.

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

Webinars

How to Easily Navigate Crypto Accounting in the Web3 Era

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Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

CTOvision

MAY 1, 2014

IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers. A strong emphasis on data validation, testing, getting it right and knowing it stays right. Qualifications.

Big Data

Big Data Data Engineering Engineering Data Center

Educating ChatGPT on Data Lakehouse

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

ChatGPT

ChatGPT Education Data Comparison

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence

Artificial Inteligence Generative AI Security Applications

Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics

Analytics Technical Review Technology Applications

Data Lake Engineering Services

Mobilunity

MAY 8, 2023

Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone.

Engineering

Engineering Data Storage AWS

Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

OCTOBER 2, 2020

Key disciplines and roles in data management. Data architecture: aligning technologies with business goals. Specialist responsible for the area: data architect. Data architecture is a starting point for any data management model. Specialist responsible for the area: data governance analyst.

Database Administration

Database Administration Strategy Data Technical Review

Data analytics: your complete guide to big data consulting

Agile Engine

DECEMBER 27, 2023

A data analytics consultancy has a team of specialists and engineers who perform data analytics for companies that don’t have the capacity to do it in-house. Data augmentation  We’ll bring you a 360-degree view of the customer landscape by augmenting assets with third-party data and predictive analytics.

Big Data

Big Data Analytics Data Analysis

Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

MARCH 16, 2021

It’s referred to as big data, since, for example, just a single complete human genome sequence produces about 200 Gb of raw data. Now, we know where big data in healthcare originates. Check our article on data engineering to get a detailed understanding of the data pipeline and its components.

Big Data

Big Data Healthcare Applications Data

Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy. Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. data cataloging).

Tools

Tools Technical Review Software Review Systems Review

New live online training courses

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding the Social Forces Affecting Cyberattackers , June 28. Understanding the Social Forces Affecting Cyberattackers , August 5. Systems engineering and operations. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Analyzing Software Architecture , July 23.

Course

Course Training Artificial Inteligence Software Review

219+ live online training courses opened for June and July

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding the Social Forces Affecting Cyberattackers , June 28. Understanding the Social Forces Affecting Cyberattackers , August 5. Systems engineering and operations. Azure Architecture: Best Practices , June 28. Microservices Architecture and Design , July 8-9. Analyzing Software Architecture , July 23.

Course

Course Training Artificial Inteligence Software Review

Technology Trends for 2023

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. growth over 2021.

Trends

Trends Technical Review Technology Software Review

Technology Trends for 2022

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.”

Trends

Trends Technical Review Technology Artificial Inteligence

The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team

Bringing an AI Product to Market

O'Reilly Media - Ideas

JULY 28, 2020

Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. Modeling and Evaluation.

Marketing

Marketing Weak Development Team Metrics UI/UX

How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization

Organization Technical Review Data Artificial Inteligence

Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

NOVEMBER 5, 2021

Health information governance and stewardship ensure compliance of data use with regulations, standards, ethical norms, and internal organizational policies. Particularly, X12N specification is used for insurance and reimbursement transactions by third-party payers and government health plans.

Technical Review

Technical Review Technology Software Review Healthcare

Top Data science books you should definitely read

Apiumhub

APRIL 1, 2021

It will show you how to treat data as a business asset that requires careful investment if you’re to gain real value. Designing data-intensive applications by Martin Kleppmann. This book helps understand the architecture of today’s data systems and how they can be fit into applications that are data-driven and data-intensive.

Artificial Inteligence

Artificial Inteligence Data Handbook Machine Learning

Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Altexsoft

NOVEMBER 9, 2021

You can request quotes from various vendors and then compare them side-by-side, as well as to related market prices, Federal Government established prices, historical prices, and so on. formatting, content, security, archiving, connections with government institutions, and so on. Extract data. Consolidate data.

Analytics

Analytics Software Review Systems Review Technical Review

Data Lakehouse: Concept, Key Features, and Architecture Layers

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture

Architecture Data Storage Machine Learning

What is Data Fabric: Architecture, Principles, Advantages, and Ways to Implement

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture

Architecture Artificial Inteligence Technical Review Data

How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

JUNE 6, 2019

Grocery shopping has been evolving from being a fully social activity to faster purchase gathering and checkout experience with little to no interaction with the store staff. That’s a new district outside Beijing, which the government plans to turn into a special economic area. Cashierless shopping: Amazon Go, JD, Alibaba, and Lenovo.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Retail Innovation

How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

OCTOBER 3, 2019

HR specialists can augment background checks with tools that explore and analyze an individual’s activity on social media and other sites and forecast their tendency to express toxic behaviors like sexism, sexual harassment, intolerance, or bullying. Data sources Sickweather uses to predict employee illnesses. Workforce planning.

Analytics

Analytics Company Off-The-Shelf How To

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes. No wonder only 0.5

Machine Learning

Machine Learning Artificial Inteligence Data Systems Review

Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. What is data virtualization?

Virtualization

Virtualization Tools Data Architecture

Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture

Cloudera

OCTOBER 26, 2023

While a social media coordinator might glean valuable insights into consumer trends on a daily basis, an office manager might uncover opportunities for cost savings while analyzing purchasing data. If you’ve got ground to make up, begin by democratizing data. Make unrestricted data available far and wide but govern it.

Culture

Culture Data Company Analytics

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Altexsoft

MARCH 14, 2023

Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. What is a modern data stack? A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture.

Data

Data Technical Review Software Review Artificial Inteligence

CTO Universe

Big Data Engineer: Role, Responsibilities, and Job Description

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Webinars

Trending Sources

Unlocking the Power of AI with a Real-Time Data Strategy

Webinars

Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

Educating ChatGPT on Data Lakehouse

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Analytics Maturity Model: Levels, Technologies, and Applications

Data Lake Engineering Services

Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Data analytics: your complete guide to big data consulting

Big Data in Healthcare: Sources and Real-World Applications

Metadata Management: Process, Tools, Use Cases, and Best Practices

New live online training courses

219+ live online training courses opened for June and July

Technology Trends for 2023

Technology Trends for 2022

The Year Ahead for BPM -- 2019 Predictions from Top Influencers

Bringing an AI Product to Market

How to Pinpoint Where Your Organization Wins (and Loses) with Data

Health Information Management: Concepts, Processes, and Technologies Used

Top Data science books you should definitely read

Procurement Analytics: Challenges, Opportunities, and Implementation Approaches

Data Lakehouse: Concept, Key Features, and Architecture Layers

What is Data Fabric: Architecture, Principles, Advantages, and Ways to Implement

How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

How to Successfully Implement HR Analytics and People Analytics in a Company

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Data Virtualization: Process, Components, Benefits, and Available Tools

Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

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