Kentik

JANUARY 3, 2018

As IoT adoption in the enterprise continues to take shape, organizations are finding that the diverse capabilities represent another massive increase in the number of devices and the data volumes generated by these devices in enterprise networks. This leads us to a big data approach to capture and report on this unstructured IoT data.

IoT 40

IoT Network Tools Big Data 40

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. Among widely-used data security techniques are. backups to prevent data loss. Snowflake data management processes.

Strategy 64

Strategy Database Administration Data Technical Review 64

The Citus Data

MARCH 31, 2023

on-demand talk, performance, PostgreSQL) PostgreSQL Security: Defending Against External Attacks , by Taras Kloba, a big data engineering manager at SoftServe. (on-demand on-demand talk, security, authentication, backups, PostgreSQL) Postgres Storytelling: Support in the Darkest Hour , by Boriss Mejias of EDB.

Azure 84

Azure Open Source Virtualization Software Engineering 84

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. For this task, you need a dedicated specialist — a data engineer or ETL developer.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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 next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Data Engineer $130 000.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

AWS Machine Learning - AI

JANUARY 26, 2024

For example, your business may not require 99.999% uptime on a generative AI application, so the additional recovery time associated to recovery using AWS Backup with Amazon S3 Glacier may be an acceptable risk. Ram Vittal is a Principal ML Solutions Architect at AWS.

Generative AI 137

Generative AI Artificial Inteligence Security Applications 137

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Data 84

Data Disaster Recovery Airlines Policies 84