CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”. Google BigQuery.

Big Data 71

Big Data Google Cloud Data Azure 71

Palo Alto Networks

SEPTEMBER 8, 2021

Developers and DevOps Teams Can Now Use Prisma Cloud’s Advanced Machine Learning to Prevent Dynamic Threats Before They are Deployed Into Operational Environments. Today’s high speed deployments in a DevOps world rely on the efficient reuse of image libraries and the increasing usage of container images.

Google Cloud 82

Google Cloud Serverless Azure Weak Development Team 82

Kentik

AUGUST 3, 2021

Understanding the difference between hybrid cloud and multi-cloud is pretty simple. Below is a hypothetical company with its data center in the center of the building. The public clouds (representing Google, AWS, IBM, Azure, Alibaba and Oracle) are all readily available. Hybrid Cloud Benefits.

Weak Development Team 124

Weak Development Team Network Cloud AWS 124

TechBeacon

OCTOBER 28, 2019

At Descartes Labs we have built a data refinery to collect, process, and analyze sensor data to quantify changes in the Earth. Our platform runs on Kubernetes in Google Cloud, powering global-scale machine learning across more than 10 petabytes of geospatial data.

Continuous Delivery 71

Continuous Delivery Google Cloud Machine Learning Artificial Inteligence 71

Datavail

MAY 23, 2023

However, while the cloud may help with some of the more repetitive administration tasks, it is still essential for teams to be aware of and proactively perform other maintenance tasks. A discussion on accelerating Oracle to PostgreSQL migration journeys , with Sameer Malik, Principal Solution Engineer at Google Cloud.

Database Administration 52

Database Administration Conference Google Cloud Azure 52

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Artificial Inteligence 102

Artificial Inteligence Course Training Blockchain 102

Mobilunity

MAY 20, 2021

For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. Without having an expert cloud engineer on board, a business cannot successfully move to these services. As mentioned before, there are different cloud providers with their specific platforms.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Lacework

MARCH 16, 2022

Most game titles are globally distributed and different countries have varying compliance requirements, meaning safeguarding customers’ personally identifiable information (PII) including user data and payment details. To learn about it in more detail, download our ebook, “ Game on: Don’t play around with cloud security.“.

Games 52

Games Cloud eBook Compliance 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform. CIOs will rely upon migration assessment and planning activities to identify an optimal allocation of workloads across public and private cloud environments.

Cloud 78

Cloud Google Cloud Azure AWS 78

Apiumhub

MARCH 12, 2024

This article explores cloud computing trends that will define the landscape of cloud computing in the coming years, from edge computing to quantum computing and the implications for businesses and technology enthusiasts. Cloud Computing Trends: What is Cloud Computing? What do you need to access the data?

Trends 52

Trends Innovation Cloud Serverless 52

Prisma Clud

AUGUST 23, 2023

The vast number of permissions available to grant identities, combined with a significant portion of high-risk, highlights the mounting challenge organizations face in managing access to data across cloud platforms. Read Innovation Insight: Cloud Infrastructure Entitlement Management (CIEM) today.

Innovation 52

Innovation Report Software Review Infrastructure 52

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. ML models might require data that’s currently unavailable in production. Monitoring. Why this blog post?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

O'Reilly Media - Ideas

JANUARY 22, 2019

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. Cloud-native infrastructure. Kubernetes.

Systems Review 78

Systems Review Trends Engineering System 78

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning. Blockchain.

Course 56

Course Artificial Inteligence Training Blockchain 56

Mobilunity

DECEMBER 9, 2021

Here are the main ones: Significant savings; Correct and complete use of cloud resources; Transparent picture of all processes occurring in the cloud – visibility; Increase the productivity of engineers and business in general; Improving data security; Managing the cloud effortlessly; Opportunity to implement innovative solutions.

Cloud 52

Cloud Google Cloud Azure Serverless 52

OTS Solutions

SEPTEMBER 5, 2023

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The many mistakes that are made are simply because people have not really understood DevOps and the best practices.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

ParkMyCloud

JANUARY 17, 2020

AWS Certified DevOps Engineer – Professional. Intended for individuals who have a DevOps engineer role and two or more years of experience operating, provisioning and managing AWS environments. AWS Certified Big Data – Speciality. Implement core AWS Big Data services according to basic architecture best practices.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Big data analytics. Cloud storage.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Why: Data Makes It Different.

DevOps 141

DevOps Data Software Review Technical Advisors 141

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Lacework

FEBRUARY 1, 2024

KuppingerCole Analysts AG Leadership Compass: Cloud-Native Application Protection Platforms (CNAPP), 2024 The report highlighted several capabilities CNAPPs should have: Cover and provide visibility of the major cloud services (AWS, Google Cloud, Microsoft Azure, etc.) popular security and incident management tools.

Artificial Inteligence 105

Artificial Inteligence Leadership Technical Review Machine Learning 105

Xebia

FEBRUARY 25, 2024

This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations.

Applications 130

Applications Technical Review Software Review Azure 130

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

CIO

JANUARY 26, 2023

See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. Once your cloud commitment gets bigger, independent cost management tools start to become attractive. Tracking cloud costs is just one part of the workload.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

O'Reilly Media - Ideas

JUNE 22, 2022

Last year’s salary survey for data and AI found a substantial difference between men’s and women’s salaries: women were paid 16% less than men. Compared to results from our survey on the data/AI industry, the percentage of cloud professionals who self-identified as women appears to be much smaller (8.5%, as opposed to 14%).

Survey 129

Survey Cloud Google Cloud Training 129

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively.

Cloud 15

Cloud Artificial Inteligence Google Cloud AWS 15

O'Reilly Media - Ideas

JANUARY 25, 2024

In this report about how people are using O’Reilly’s learning platform, we’ll see how patterns are beginning to shift. The data used in this report covers January through November in 2022 and 2023. Our data shows that most topics in software architecture and design are down year-over-year. So, what does O’Reilly’s data say?

Trends 114

Trends Technical Review Technology Artificial Inteligence 114

Prisma Clud

JUNE 20, 2023

It's about ensuring comprehensive security coverage that adapts to the ever-changing cloud landscape. Cloud Security Is a Shared Responsibility Cloud security is a team sport that involves DevOps teams, cloud security teams and even the security operations center (SOC) engineers.

Cloud 105

Cloud Development Team Review Serverless Linux 105

Exadel

DECEMBER 4, 2019

The Innovation Cloud is a powerful low-code development platform that lets technology leaders explore and test new technologies such as blockchain, AI, mobile, chatbot, and machine learning models. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP).

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

DataRobot

MARCH 28, 2023

Building the DataRobot Cloud Partner Ecosystem A modern data and analytics platform is essential to your digital transformation strategy. Our expanded strategic technology partnerships across our cloud and technology make it easy for you to modernize quickly and with confidence.

Azure 52

Azure Google Cloud Cloud Machine Learning 52

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Another challenge is data security. One of the key trends driving innovation in the financial services industry is using technology to drive growth.

Software Development 52

Software Development Trends Technology Software 52