Altexsoft

JANUARY 14, 2021

Though there are countless options for storing, analyzing, and indexing data, data warehouses have remained to the point. When reviewing BI tools , we described several data warehouse tools. In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift.

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Backup Azure Software Review Architecture 115

Altexsoft

APRIL 16, 2021

However, when it comes to analyzing large volumes of data from different angles, the logic of OLTP has serious limitations. So, we need a solution that’s capable of representing data from multiple dimensions. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. Building a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. How data engineering works in 14 minutes.

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Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. The new capabilities of Apache Iceberg in CDP enable you to accelerate multi-cloud open lakehouse implementations. Enhanced multi-function analytics.

Cloud 80

Cloud Data Analytics Machine Learning 80

Prisma Clud

JANUARY 15, 2025

With offerings spanning the many ways organizations can extract value from data from data pipelines to machine learning and even LLM training Databricks is often a critical component of modern data infrastructure. It operates on a cloud-native architecture , leveraging distributed computing to process large-scale data.

Artificial Inteligence 52

Artificial Inteligence Cloud Data Storage 52

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Data visualization as a part of data representation and analytics.

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Analytics Data IoT Analysis 20

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

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Software Review Software Data Technical Review 69

Exadel

FEBRUARY 20, 2023

Cloud-based AI services make this possible. In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Previous article Any AI endeavor begins with building a platform, and creating, improving and scaling solutions.

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Artificial Inteligence Cloud Machine Learning Azure 52

UruIT

JULY 23, 2019

Having these requirements in mind and based on our own experience developing ML applications, we want to share with you 10 interesting platforms for developing and deploying smart apps: Google Cloud. MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts.

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Artificial Inteligence Machine Learning Azure Software Review 81

Altexsoft

AUGUST 25, 2021

Sentiment analysis results by Google Cloud Natural Language API. In this article, we want to give an overview of popular open-source toolkits for people who want to go hands-on with NLP. Even MLaaS tools created to bring AI closer to the end user are employed in companies that have data science teams. Spam detection.

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Tools Artificial Inteligence Technical Review Systems Review 139

Mobilunity

MARCH 19, 2025

In this article, we’ll discuss the benefits and challenges of working with remote teams and teach you how to integrate off-site developers effectively into your environment. Developers gather and preprocess data to build and train algorithms with libraries like Keras, TensorFlow, and PyTorch. Data engineering.

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Trends Technical Review Development Software Review 40

Mobilunity

DECEMBER 9, 2024

A more detailed description is covered in our article on AI engineers roles and responsibilities. Key skills for AI engineers The following is a teeny-tiny list of skills crucial for AI engineers. It includes subjects like data engineering, model optimization, and deployment in real-world conditions.

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Engineering Artificial Inteligence Machine Learning Technical Review 52

UruIT

APRIL 27, 2020

Google Cloud . MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts. Also share this article with fellow CTOs or other tech leaders and innovators on the quest to find the right platform for creating a successful ML project.

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Artificial Inteligence Machine Learning Azure Software Review 78

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

Data 19

Data Training Analytics Storage 19

Altexsoft

APRIL 26, 2022

For everyone who is considering Snowflake as a part of their technology stack, this article is a great place to start the journey. We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Source: Snowflake.

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Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. This article is a part of our “The Good and the Bad” series.

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Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

JULY 19, 2022

She formulated the thesis in 2018 and published her first article “How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh” in 2019. Since that time, the data mesh concept has received a lot of attention and appreciation from companies pioneering this idea. And it’s their job to guarantee data quality.

Architecture 52

Architecture Data Analytics Data Engineering 52

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI. We look forward to working with you to help you build yours.

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Software Engineering Engineering Software Generative AI 52

Existek

SEPTEMBER 28, 2023

In this article, we’ve focused on the AI developer job and some efficient approaches to engage with the best specialists on the market. Responsibilities of AI engineers Requirements to hire AI developers Where to find AI developers? AI-related skills are highly valued in the market and adopted in various industries.

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Artificial Inteligence Development How To Technical Review 52

Mobilunity

NOVEMBER 11, 2024

So, what does it take to be a mighty creator and whisperer of models and data sets? In this article, we’re going to explain what businesses should consider when hiring an LLM developer, from skills and responsibilities to their impact across teams and different industries. Google Cloud Certified: Machine Learning Engineer.

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Artificial Inteligence Handbook Engineering Technical Review 52

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. To grasp how DevOps principles can be integrated into machine learning, read our article on MLOps methods and tools. Source: Google Cloud Blog. MLOps cycle.

Machine Learning 59

Machine Learning Artificial Inteligence How To Open Source 59

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

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O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% SQL Server also showed a 5.3%

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Trends Technical Review Technology Artificial Inteligence 142

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. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

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Weak Development Team Technical Review Software Review Data Engineering 52

Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

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Strategy Technical Review Data Weak Development Team 52

O'Reilly Media - Ideas

JANUARY 25, 2021

The biggest challenge facing operations teams in the coming year, and the biggest challenge facing data engineers, will be learning how to deploy AI systems effectively. It’s no surprise that the cloud is growing rapidly. Usage of content about the cloud is up 41% since last year. What’s behind this story? The result?

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