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 75

Big Data Data Engineering Engineering Data 75

AWS Machine Learning - AI

JANUARY 26, 2024

Organizational resiliency draws on and extends the definition of resiliency in the AWS Well-Architected Framework to include and prepare for the ability of an organization to recover from disruptions. Ram Vittal is a Principal ML Solutions Architect at AWS.

Artificial Inteligence 126

Artificial Inteligence Generative AI Security Applications 126

Altexsoft

JANUARY 14, 2021

Non-volatile implies that once the data flies into a warehouse, it stays there and isn’t removed with new data enterings. As such, it is possible to retrieve old archived data if needed. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

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. Definitely, the topic is way too extensive to be covered in a blog post, so we’re only going to make a succinct overview. What is Big Data and its sources in healthcare?

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

JULY 29, 2022

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. a suitable technology to implement data lake architecture. What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Scalability.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

NOVEMBER 23, 2021

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. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

Altexsoft

NOVEMBER 5, 2021

If you’re not familiar with the technological side of data exchange, read the following articles to connect dots: What is EDI: The Main Document Exchange Technology. What is API: Definition, Types, Specifications, Documentation. REST API: Key Concepts, Best Practices, and Benefits. Main Healthcare APIs.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

SEPTEMBER 23, 2019

There’s a large variety of analytical activities when we’re talking about software development. When the product is being developed, a BA gets feedback from stakeholders and ensures product improvements according to the obtained data. Analytical thinker. Why would you need a detailed business analysis? Decision-maker.

Weak Development Team 62

Weak Development Team Software Development Project Management Research 62

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. Clouds (source: Pexels ).

Cloud 43

Cloud Data Storage Analytics 43

Cloudera

DECEMBER 12, 2018

Yet, there were some limitations in MPP at the time, because some of these systems running Hive were quite large, and the database community thought that instead of the future being Hive on MapReduce or something similar, that we could extend, bend, and change the MPP engines to actually operate in a more scalable manner on such large data.

Data 42

Data Marketing Storage Big Data 42

O'Reilly Media - Data

MARCH 22, 2018

Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in the algorithmic decision-making (for a more detailed explanation on the definition of transparency in machine learning, see “ Challenges of Transparency ” by Adrian Weller).

Off-The-Shelf 118

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 118

Altexsoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. The answer is simple: They use the same technology to make the most of data. Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Altexsoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. What is a modern data stack?

Data 59

Data Technical Review Software Review Open Source 59