DevOps.com

OCTOBER 23, 2020

When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry adapted its mindset toward storage by investing in on-premises data centers to help store the data that would drive better business decisions. When […].

Storage 110

Storage DevOps Data Data Center 110

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

DevOps.com

AUGUST 11, 2021

Currently, because such a ridiculous amount of data exists, there is a growing urgency to end wasteful data processes. The post DataOps vs. DevOps: What’s the Difference? From this environment, DataOps was born. Similar to […]. appeared first on DevOps.com.

DevOps 145

DevOps Data Continuous Delivery Big Data 145

DevOps.com

DECEMBER 10, 2018

Four Vs drive big data solutions: volume, velocity, variety and veracity. The post 5 Ways KPI Analysis Helps DevOps appeared first on DevOps.com. Volume and velocity are technical considerations usually receiving a healthy dose of attention among architects and coders. Key performance indicator, or KPI, […].

KPI 104

KPI Analysis DevOps Big Data 104

OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

OTS Solutions

JULY 18, 2023

To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? It involves the integration of software, hardware, and data to drive innovation, improve efficiency, and enhance customer experience.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Xebia

MARCH 10, 2021

Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. What is DevOps?

DevOps 130

DevOps Data Analytics Policies 130

DevOps.com

JANUARY 3, 2019

Unravel is making a name in the AIOps, APM and big data markets. In this DevOps Chat, we speak with Unravel CEO Kunal Agarwal about what makes Unravel a must-have for its customers. We also take a sneak peek ahead to what the near and not so near future holds for big data, AIOps and […].

DevOps 94

DevOps Big Data Data Marketing 94

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 215

LAN How To Systems Administration Software Engineering 215

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Xebia

MARCH 10, 2021

Data itself is not able to advise a business for better decision-making. Therefore these organisations introduce a new capability: Data & Analytics. The post DevOps in a data science world appeared first on Xebia Blog. This blog elaborates on […].

DevOps 130

DevOps Data Analytics Big Data 130

DevOps.com

MARCH 31, 2020

The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by synchronizing the functions of development and operations teams. The […].

DevOps 135

DevOps Data Culture Software 135

TechCrunch

SEPTEMBER 13, 2022

“DevOps engineers … face limitations such as discount program commitments and preset storage volume capacity, CPU and RAM, all of which cannot be continuously adjusted to suit changing demand,” Melamedov said in an email interview. He briefly worked together with Baikov at big data firm Feedvisor.

Cloud 243

Cloud Storage DevOps Case Study 243

Linux Academy

JANUARY 1, 2020

Courses Free in January : Implementing Azure DevOps Development Processes. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data.

Linux 31

Linux Course AWS Google Cloud 31

The Crazy Programmer

MARCH 15, 2021

It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. It is a free, open source, programming language that has quality frameworks, extensive training material, a friendly developer community and user-friendly data structures.

Programming 317

Programming Open Source Trends Quality Assurance 317

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

Apiumhub

DECEMBER 9, 2024

GitHub or Azure DevOps) for version control, which helps manage your workspace artifacts (e.g., This opens a web-based development environment where you can create and manage your Synapse resources, including data integration pipelines, SQL queries, Spark jobs, and more. Also combines data integration with machine learning.

Azure 91

Azure Analytics Storage Machine Learning 91

Linux Academy

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data.

Linux 29

Linux Course AWS Google Cloud 29

DevOps.com

APRIL 25, 2019

Partners of the tech titan such as Fivetran, DataStax and Hammerspace are bringing unprecedented data capabilities to the Google Cloud Platform […]. Better Capabilities for Big Data appeared first on DevOps.com. The post The Biggest News from Google Cloud Next ’19?

Google Cloud 96

Google Cloud Big Data Cloud Data 96

Dzone - DevOps

NOVEMBER 20, 2019

Here's what the future of DevOps holds. The culture of DevOps is continuously evolving and refining itself. From the waterfall method of yesteryears through the eventual upgrade to agile delivery to the revolutionary culture shift called DevOps, the picture is changing every day. DevOps already automates codes and pipelines.

DevOps 79

DevOps Trends Big Data Culture 79

CIO

DECEMBER 11, 2024

Just because the work is data-centric or SQL-heavy does not warrant a free pass. Every SQL query, script and data movement configuration must be treated as code, adhering to modern software development methodologies and following DevOps and SRE best practices.

Data 167

Data Technical Review Software Review Weak Development Team 167

TechCrunch

OCTOBER 18, 2022

Prior to founding AppMap, she founded DevOps security startup Conjur, which was acquired by CyberArk in 2017, and served as chief data officer for Generation Health, later acquired by CVS. I’m a data scientist, so I know how overwhelming data can be,” said Lawler.

Software Review 237

Software Review Weak Development Team Analysis Tools 237

Linux Academy

DECEMBER 1, 2019

DevOps Essentials. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. DevOps Essentials. Jenkins Quick Start. AWS Essentials.

Linux 26

Linux Course AWS Google Cloud 26

Infinidat

APRIL 26, 2022

InfiniOps Technology: Exploit AIOps, Expedite DevOps, and Execute Confidently. Today, Infinidat introduces InfiniOps™ Technologies, a collection of extensive software capabilities that exploit world-class AIOps functionality and expedite DevOps activities. Adriana Andronescu. Tue, 04/26/2022 - 22:00. Ecosystem Support: Arxscan Arxview.

DevOps 98

DevOps Technology Storage SMB 98

Hacker Earth Developers Blog

JANUARY 22, 2020

This can be attributed to the fact that Java is widely used in industries such as financial services, Big Data, stock market, banking, retail, and Android. Therefore, if your employees want a wonderful future in DevOps in 2020, they need to have a strong understanding of Docker tools. . DevOps engineers. DevOps engineers.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

CTOvision

AUGUST 21, 2014

Analysis Big Data CTO DoD and IC Strategy Chevrolet devops Scott McNealy Sensemaking social media Sun Microsystem Sun Microsystems Twitter US Venture Partners Use case WayIn Weather Channel' The clearest use cases I have seen are the ones in use at the Weather Channel.

Media 130

Media CTO Coach Video Social 130

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

TechCrunch

MARCH 21, 2023

Because “the great repatriation” now taking place among public companies also has direct implications for startup DevOps teams, Robinson shares suggestions for “a few things that can be done to ensure future flexibility for where workloads are created.”

Hardware 215

Hardware Cloud Windows Big Data 215

DevOps.com

MARCH 27, 2020

Whether that pressure stems from DevOps, the cloud, AI, mobile or big data, almost every organization is looking to the future with an eye on modernizing their mission-critical IT systems. Digital infrastructure is under mounting pressure from a variety of powerful technology trends.

Big Data 118

Big Data Infrastructure DevOps Mobile 118

Linux Academy

JULY 30, 2019

Big Data Essentials. Included in this course is a comprehensive introduction addressing the question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. Devops Essentials. Looking for a basic introduction to the concept of DevOps? YAML Essentials.

Linux 25

Linux Course AWS Google Cloud 25

Linux Academy

NOVEMBER 1, 2019

DevOps Essentials. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. DevOps Essentials. Jenkins Quick Start. AWS Essentials.

Linux 104

Linux Course AWS Google Cloud 104

Linux Academy

APRIL 30, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. No prior AWS experience is required.

Linux 113

Linux AWS Big Data Course 113

DevOps.com

JANUARY 15, 2019

AIOps takes center stage to topple barriers as modern data application growth accelerates There seems to be a chasm between DevOps and big data teams in the enterprise, and the bridge over that chasm is long and treacherous.

Performance 94

Performance Data How To Big Data 94

O'Reilly Media - Ideas

JUNE 4, 2019

Proposals for the O’Reilly Open Source Software Conference emphasize cloud native, AI/ML, and data tools and topics. DevOps, cloud, big data, artificial intelligence (AI), and machine learning (ML)—is encoded in the record of speaker proposals from the O’Reilly Open Source Software Conference (OSCON).

Open Source 110

Open Source Artificial Inteligence Software Artificial Intelligence 110

CIO

JANUARY 19, 2023

The research, conducted by International Data Corporation (IDC) and commissioned by SUSE surveyed 838 respondents in 11 Asia/Pacific countries across a range of industries such as financial services and insurance, telecommunications, and government.

Open Source 205

Open Source Software Review Technical Review Enterprise 205

Kovair - DevOps

AUGUST 8, 2019

AIOps defines the use of machine learning, big data, and most. The post Boosting Your Business’ Success with DevOps? AIOps is nothing but the term used to describe Artificial Intelligence for IT operations. Double it with AIOps appeared first on Kovair Blog.

Artificial Inteligence 60

Artificial Inteligence DevOps Artificial Intelligence Machine Learning 60

Dzone - DevOps

NOVEMBER 27, 2023

Charting the Intricacies of Merging Big Data with Traditional Data Management Systems The dawn of the digital age has led to an exponential increase in data creation, pushing the boundaries of what traditional data management systems can handle.

Big Data 52

Big Data Data Healthcare Banking 52