Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Mobilunity

NOVEMBER 8, 2024

eCommerce companies, for instance, provide customers with personalized information about products, pricing, and special offers. Mobilunity helps hire skilled ML developers and data engineers for seamless input collection, annotation, and advanced AI model development.

Training 52

Training Artificial Inteligence Data How To 52

Altexsoft

SEPTEMBER 10, 2021

These systems can be hosted on-premises, in the cloud, and on IoT devices, etc. With the right data integration strategy, companies can consolidate the needed data into a single place and ensure its integrity and quality for better and more reliable insights. For this purpose, you will need a range of customer data.

Tools 52

Tools Data Software Review Technical Review 52

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Open Source 59

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Machine learning.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Kentik

JUNE 4, 2019

By correlating an ever-wider set of traffic data into a single, instantly-queryable dataset (the Kentik Data Engine, aka KDE), we’re able to generate technical and business insights with direct, powerful relevance to your network operations. OTT Service Type: The nature of the content provided by the service.

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Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The roots of AWS went back to the early 2000s when the known eCommerce company Amazon faced specific scaling challenges. Development Operations Engineer $122 000.

Azure 52

Azure AWS Cloud How To 52