Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Iceberg doesn’t delete the old data files.

Strategy 56

Strategy Travel Groups Data 56

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 117

Artificial Inteligence Generative AI Security Applications 117

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. Regular data processing. Big data processing.

Big Data 75

Big Data Data Engineering Engineering Data 75

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 96

Architecture Innovation Data Machine Learning 96

Apiumhub

AUGUST 12, 2021

His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Evgenii Vinogradov – Director, Analytical Solutions Department @YooMoneyon Evgenii is the Head of Data Engineering and Data Science team at YooMoney, the leading payment service provider on the CIS Market.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Data 103

Data Analytics Disaster Recovery Travel 103

Altexsoft

SEPTEMBER 9, 2022

Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Metadata management components.

Tools 59

Tools Technical Review Software Review Systems Review 59

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Iceberg is designed to be open and engine agnostic allowing datasets to be shared.

Data 88

Data Open Source Storage Machine Learning 88

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). But the current data lakehouse architectural pattern is not enough.

Data 83

Data Analytics Machine Learning Artificial Inteligence 83

CIO

AUGUST 5, 2022

One of the most well-known early examples of data visualization was a flow map created by French civil engineer Charles Joseph Minard in 1869 to help understand what Napoleon’s troops suffered in the disastrous Russian campaign of 1812. It is continuing to build out its open architecture and multicloud capabilities.

Data 357

Data Analytics Travel Business Intelligence 357

AWS Machine Learning - AI

FEBRUARY 19, 2024

A compact 5-cup single serve coffee maker in matt black with travel mug auto-dispensing feature. - Outside of work, he enjoys traveling and playing any kind of sport, especially soccer. Outside of work, Dr. Sun enjoys the balance of traveling and spending time with family and friends. He is a SageMaker Subject Matter Expert.

Generative AI 93

Generative AI AWS Machine Learning Artificial Inteligence 93

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

APRIL 26, 2022

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. Data warehousing in a nutshell. BTW, we have an engaging video explaining how data engineering works.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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

Altexsoft

JUNE 6, 2019

Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. Visual search engines use artificial neural networks (ANN) – computing systems which architecture was inspired by the way human brains work. For instance, the store in the Big Apple that started working on May 7 accepts cash.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Following this logic, any other writer with a short and memorable name — say, Gogol, Orwell, or Tolkien — could have become a symbol of endless data streams. Kafka architecture. Kafka cluster architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 84

Windows Software Review Data Engineering 84

Altexsoft

NOVEMBER 9, 2021

Indirect spend is any expenses that are needed to operate the business, such as office supplies, utilities, transportation, insurance, marketing, business travel, warehousing costs, wages, and so on. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

The findings showed that these variables weren’t connected to the number of working hours, travel, or compensation. Data engineer builds interfaces and infrastructure to enable access to data. So, data engineers make data pipelines work. Tools for data integration. Develop UI of a solution.

Analytics 16

Analytics Company Off-The-Shelf How To 16

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 102

Analytics Technical Review Technology Applications 102

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Feature engineering and selection. Neural architecture search. NAS automatically tests and assesses a large number of architectures to discover the most fitting one.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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. Predictive analytics, recommendation engines, and AI-driven insights provide businesses with proactive decision support systems, improving accuracy and efficiency.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

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 59

Data Technical Review Software Review Artificial Inteligence 59

O'Reilly Media - Ideas

JANUARY 25, 2021

As travel ground to a halt, so did traditional in-person conferences. While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145