Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

CIO

AUGUST 5, 2022

A collection of four visualizations by Hanah Anderson and Matt Daniels of The Pudding that illustrate gender disparity in pop culture by breaking down the scripts of 2,000 movies and tallying spoken lines of dialogue for male and female characters. It is continuing to build out its open architecture and multicloud capabilities.

Data 303

Data Analytics Travel Business Intelligence 303

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Abhishek Tiwari

JULY 20, 2019

Both models work on the scale, particularly when the company's core values, priorities, and culture all three are well aligned. ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. You want to move fast.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

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. Snowflake data management processes.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Cloudera

NOVEMBER 2, 2020

The extreme scale of “big data”, but with the feel and semantics of “small data”. The factors driving this trend are part technical, part business, and part cultural. On the technical side, it is cheaper and easier than ever to instrument everything and send that data in real-time through a messaging system.

Data 91

Data Analytics Storage Big Data 91

Altexsoft

OCTOBER 3, 2019

Besides automating HR operations and providing wide analytical capabilities, HRM systems help in other areas of collaboration between employees and a company: “HRM systems help building unique company culture, maintain own communication style within the organization, and facilitate employee feedback. Tools for data integration.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

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.

Data 59

Data Technical Review Software Review Artificial Inteligence 59