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

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. 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.

Analytics 20

Analytics Data IoT Analysis 20

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Artificial Inteligence Machine Learning Data Center 52

TIBCO - Connected Intelligence

APRIL 22, 2021

Opportunity 4: Migrate to the cloud. Leading cloud providers such as AWS, Microsoft Azure, and Google Cloud have developed world-class cloud data centers whose sustainability levels are difficult for organizations like yours to match because: They optimize server performance and usage elastically with demand, powering down what isn’t needed.

Sustainability 46

Sustainability Virtualization Data Energy 46

DataRobot

FEBRUARY 2, 2022

DataRobot enables entire teams — from data scientists to data engineers and from IT to business users — to collaborate on a unified platform. By partnering with major cloud companies like AWS, Google Cloud, Azure, and VMware, DataRobot helps customers harness the power of their data wherever it lives.

Cloud 52

Cloud Innovation Google Cloud Data Center 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Its very architecture is centered around the idea of painless expansion the moment your business needs it. A single cluster can span across multiple data centers and cloud facilities.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Cloudera

DECEMBER 12, 2018

I would say the main difference between the two platforms is obviously that one is completely open source, relies on open file formats, and can be run both on-premises and on any cloud. It can also run on Google Cloud, it runs on top of an object store in S3, as well as ADLS. Call it on-prem cloud style deployments.

Marketing 42

Marketing Data Storage Big Data 42

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 131

Trends Technology Security Artificial Inteligence 131

O'Reilly Media - Ideas

MARCH 1, 2023

And cloud computing generates its own problems. Companies can no longer protect all of their IT systems behind a firewall; many of the servers are running in a data center somewhere, and IT staff has no idea where they are or even if they exist as physical entities. And again, the drop was smallest for Google Cloud.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 25, 2021

There’s been a lot of discussion about operations culture (the movement frequently known as DevOps), continuous integration and deployment (CI/CD), and site reliability engineering (SRE). Cloud computing has replaced data centers, colocation facilities, and in-house machine rooms. What’s behind this story?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145