Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. You can intuitively query the data from the data lake.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

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. A complete guide to business intelligence and analytics. The role of business intelligence developer.

Analytics 20

Analytics Data IoT Analysis 20

CIO

AUGUST 5, 2022

This can help you see trends, understand the frequency of events, and track connections between operations and performance, for example. Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. It also features a drag-and-drop interface.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. An overview of data warehouse types. What is data pipeline.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Robust community.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JANUARY 14, 2021

In this article, we’ll take a closer look at the top cloud warehouse software, including Snowflake, BigQuery, and Redshift. We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Different data is processed in parallel on different nodes.

Backup 115

Backup Azure Software Review Systems Review 115