Existek

JANUARY 11, 2022

In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. The new structure enabled the opportunity to meet such customer needs in computing as storage, networking, and services.

Azure 52

Azure AWS Cloud How To 52

Kentik

APRIL 4, 2023

However, arriving at specs for other aspects of network performance requires extensive monitoring, dashboarding, and data engineering to unify this data and help make it meaningful. When backup operations occur during staffing, customer visits, or partner-critical operations, contention occurs.

Network 104

Network Load Balancer Cloud Backup 104

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.

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Is it still so? Scalability opportunities.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

MARCH 31, 2020

It means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data. And, as is common, to transform it before loading to another storage system. But how do you move data? The simplest illustration for a data pipeline.

Data 76

Data Storage Analytics Data Center 76

Mobilunity

NOVEMBER 24, 2021

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. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

NOVEMBER 23, 2020

In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. It involves a lot of preparation and post-migration activities including planning, creating backups, quality testing, and validation of results. What makes companies migrate their data assets.

Data 104

Data Transportation Backup Storage 104

Netflix Tech

FEBRUARY 9, 2022

Or what if Alice wanted to add new backup functionality and she accidentally broke existing code while updating it? Let’s define some requirements that we are interested in delivering to the Netflix data engineers or anyone who would like to schedule a workflow with some external assets in it.

Data 80

Data Testing Software Review Systems Review 80

Kentik

FEBRUARY 7, 2023

This might mean a complete transition to cloud-based services and infrastructure or isolating an IT or business domain in a microservice, like data backups or auth, and establishing proof-of-concept. Either way, it’s a step that forces teams to deal with new data, network problems, and potential latency.

Network 59

Network Cloud Data Data Center 59

Altexsoft

JUNE 6, 2019

Chatbots can serve as a backup for customer service representatives in this case. ?”The Building a data-driven organization. Retailers often have a significant amount of transaction and financial data that needs to be archived and utilized for both compliance and analytics purposes.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

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. Find sources of relevant data.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Make sure you have encryption for data in motion as well as at rest. Data loss prevention.

Cloud 52

Cloud Data Firewall AWS 52

Altexsoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. Virtually, Hadoop puts no limits on the storage capacity. What is Hadoop.

Big Data 98

Big Data Tools Data Storage 98

O'Reilly Media - Ideas

JANUARY 25, 2024

Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% Data engineering deals with the problem of storing data at scale and delivering that data to applications. Interest in data warehouses saw an 18% drop from 2022 to 2023.

Trends 117

Trends Technical Review Technology Artificial Inteligence 117

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Cloudera

AUGUST 26, 2020

Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information. Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform.

Data 85

Data Machine Learning Artificial Inteligence Disaster Recovery 85

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Storage costs. using list pricing of $0.72/hour hour using a r5d.4xlarge

Cloud 86

Cloud Technical Review Storage Backup 86