Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. It’s here where the private cloud delivers.

Cloud 83

Cloud Government Storage Analytics 83

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

Artificial Inteligence 286

Artificial Inteligence Strategy Data Machine Learning 286

ParkMyCloud

MAY 29, 2019

Trends in cloud jobs can be overall indicators into trends in the cloud computing space. With an ever-evolving and increasing use of cloud services, new and important changes are needed to the skillsets, roles, and responsibilities of cloud professionals. The Cloud Job Market is on the Rise. Cloud Architect.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 238

Technical Advisors Artificial Inteligence Generative AI How To 238

CIO

JUNE 22, 2023

There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers.

Industry 303

Industry UI/UX Telecommunications Quality Assurance 303

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. Google Cloud Free Program. As a new Google Cloud customer, you can get started with a 90-day free trial.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Kentik

MAY 31, 2023

As a cloud solutions architect with Kentik, I have the opportunity to work with some of the planet’s most cutting-edge, massively scaled networks. Resiliency One resiliency strategy for NetOps teams working with the cloud to consider is multizonal deployments.

Network 52

Network Cloud Load Balancer Firewall 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence. Transform your business with Trigent Software.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 It could be databases, spreadsheets, APIs, IoT sensors, or other sources.

Big Data 52

Big Data Analytics Data Analysis 52

O'Reilly Media - Ideas

JANUARY 8, 2019

The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in the US is “off the charts,” and our survey indicated that the demand for data scientists and data engineers is strong not just in the US but globally.

Trends 86

Trends Data Machine Learning Artificial Inteligence 86

Capgemini

MARCH 16, 2022

technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. But the question how to start remains. Accelerate the digitalization journey. In the Factory of the Future, Intelligent Industry 4.0

Industry 98

Industry IoT Technical Review Automotive 98

Hu's Place - HitachiVantara

APRIL 11, 2019

Few if any data management frameworks are business focused, to not only promote efficient use of data and allocation of resources, but also to curate the data to understand the meaning of the data as well as the technologies that are applied to the data so that data engineers can move and transform the essential data that data consumers need.

Data Engineering 81

Data Engineering Machine Learning Artificial Inteligence Technical Review 81

Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 52

Apiumhub

JUNE 22, 2021

Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

TIBCO - Connected Intelligence

MARCH 4, 2021

Here are just some of the reasons TIBCO continues to lead in the way: Sparks DSML Innovation: TIBCO continues to fuel innovation with cutting-edge DSML technology, such as dynamic learning on streaming data and IoT capabilities. The platform supports your end-to-end analytics lifecycle so you can make faster, smarter decisions.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. This year’s focus is on cloud economics, cloud management, architecture, hybrid and multi-cloud setup, and much more.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

TIBCO - Connected Intelligence

OCTOBER 11, 2021

One example of an incredible solution fueled by TIBCO Partner-to-Partner is a new IoT solution developed by TIBCO, iSteer, and u-blox. With a broad portfolio of chips, modules, and secure data services and connectivity, u?blox Meet the Partners. The Solution in Action. Join TIBCO Partner-to-Partner.

IoT 49

IoT Wireless Healthcare Technical Review 49

Confluent

JULY 11, 2019

Simon Aubury is a data geek on all things from databases to event streaming, architecture, IoT, and cloud. A data engineer architect from Sydney, Australia, he lives with his wife, two kids, and a grumpy cat. We can’t wait to see what amazing projects are created with KSQL by the fantastic community of developers.

Training 83

Training Course Exercises IoT 83

Mobilunity

MAY 8, 2023

Ingestion zone is where data is collected from various sources and ingested into the data lake. Here collected data from databases, logs, IoT devices, social media, and other sources. Storage zone is where the raw data is stored in its original format. Cost Savings. Scalability.

Engineering 52

Engineering Data Storage AWS 52

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. streaming data from telematics IoT devices.

Tools 52

Tools Software Review Systems Review Testing 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 103

Data Artificial Inteligence Analytics Machine Learning 103

Hu's Place - HitachiVantara

JANUARY 15, 2019

When the formation of Hitachi Vantara was announced, it was clear that combining Hitachi’s broad expertise in OT (operational technology) with its proven IT product innovations and solutions, would give customers a powerful, collaborative partner, unlike any other company, to address the burgeoning IoT market.

Systems Review 72

Systems Review Storage System Software Review 72

Datavail

JUNE 15, 2023

Data Factory : A data integration tool with 150+ connectors to cloud and on-premises data sources. Synapse Data Engineering : A Spark authoring experience that includes instant start with live pools and collaboration features.

Azure 52

Azure Analytics Storage Generative AI 52

Altexsoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. IoT Empowered Assembly Lines: Predictive Maintenance. Learn More About AI Cloud for Manufacturing.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

TIBCO - Connected Intelligence

DECEMBER 7, 2021

This means that, unlike other data architectures, a data fabric gives you the flexibility to deploy in phases across the cloud, on-premises, and in hybrid environments, while still providing one virtual place to go for a wide variety of data use cases, including analytic, transactional, governance, operational, and self-service.

Architecture 49

Architecture Data Government Agile 49

Altexsoft

DECEMBER 4, 2020

Data migration projects range from a mundane database upgrade to a global shift of the enterprise system to the cloud. There are three major types of data migration software to choose from. Three types of data migration tools. Besides, this type of software has limited scalability compared to cloud solutions.

Software Review 69

Software Review Software Data Technical Review 69

TIBCO - Connected Intelligence

AUGUST 10, 2020

Taking action to leverage your data is a multi-step journey, outlined below: First, you have to recognize that sticking to the status quo is not an option. Your data demands, like your data itself, are outpacing your data engineering methods and teams.

Virtualization 69

Virtualization Data How To Data Engineering 69

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM has been a decades long leader in open source innovation.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

JANUARY 19, 2018

Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. General Data Protection Regulation (GDPR) and Data Science. Kudu makes running real-time analytics easier than ever before and is foundational to a number of successful Cloudera IoT customers.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

TIBCO - Connected Intelligence

DECEMBER 1, 2020

LeadMind uses analytics, the cloud, and embedded IoT sensors to create over 20 analytics applications, or “train-alytics”. It is a combination of advanced analytics in partnership with TIBCO and CAF’s engineering expertise to maximize the benefit for train operations and optimize maintenance. Click To Tweet.

Training 34

Training Transportation Analytics IoT 34

Altexsoft

FEBRUARY 8, 2021

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Data engineers work with technologies, setting up and managing data pipelines to extract, store, and transform data for further usage.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

MARCH 16, 2021

They are designed to collect various health information and commonly transfer this data to the user’s smartphone and/or a remote/cloud server where it can be retrieved by medical personnel. Check our article on data engineering to get a detailed understanding of the data pipeline and its components.

Big Data 116

Big Data Healthcare Applications Data 116