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 108

Trends Data Artificial Inteligence Machine Learning 108

CIO

JULY 5, 2023

Around the same time of the release, Repsol appointed Juan José Casado Quintero as its new chief digital officer (CDO), another strategic move to digitally transform and accelerate the company’s strategy to become a data-driven company. The push into AI into all Repsol’s businesses will increase as well.

Artificial Inteligence 158

Artificial Inteligence Energy Generative AI Strategic Planning 158

CIO

JUNE 22, 2023

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. The industry has a demand for highly-skilled IT pros who have the skills and knowledge to navigate complex and technical systems and networks.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

Confluent

FEBRUARY 6, 2019

After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

ParkMyCloud

MAY 29, 2019

A Cloud Architect has a strong background in networking, programming, multiple operating systems, and security. You may find of interest, cloud computing careers relatable to Cloud Consultants include Cloud Security Engineers, Cloud Operations Engineers, and Cloud Infrastructure Engineers. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Artificial Inteligence Machine Learning 83

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

ParkMyCloud

DECEMBER 11, 2020

Google Cloud Free Program. Within the Google Cloud free program you’ll have two options – sign up for a free trial or free tier. GCP’s free program option is a no-brainer thanks to its offerings. . For free, hands-on training there’s no better place to start than with Google Cloud Platform itself. Plural Sight.

Google Cloud 97

Google Cloud Training Resources Cloud 97

Altexsoft

JUNE 14, 2021

InsureApp is another company that contextualizes behavior and translates it into personalized insurance by combining and interpreting data from smartphone sensors and IoT devices. Telematics devices are placed in newer cars to provide accurate data on factors such as distance covered, driving speed, current location, and much more.

Insurance 88

Insurance Artificial Inteligence Machine Learning Policies 88

Cloudera

JANUARY 20, 2021

Managing the collection of all the data from all factories in the manufacturing process is a significant undertaking that presents a few challenges: Difficulty assessing the volume and variety of IoT data: Many factories utilize both modern and legacy manufacturing assets and devices from multiple vendors, with various protocols and data formats.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Schloss’s areas of expertise include Big Data, analytics, BI, IoT, and data warehousing.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. 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

O'Reilly Media - Ideas

MARCH 6, 2019

Modern AI Programming with Python , May 16. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1.

Course 15

Course Artificial Inteligence Training Machine Learning 15

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 Technical Review Healthcare 49

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

Cloudera

OCTOBER 7, 2021

Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data. The Data Governance body designates a Data Product as the Authoritative Data Source (ADS) and its Data Publisher as the Authoritative Provisioning Point (APP).

Architecture 124

Architecture Data Security Technical Review 124

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102

O'Reilly Media - Ideas

MAY 1, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Real-time Data Foundations: Kafka , June 11.

Course 60

Course Training Artificial Inteligence Machine Learning 60

TIBCO - Connected Intelligence

FEBRUARY 18, 2020

To democratize, collaborate, and operationalize data science and machine learning (ML) across your entire organization, you need to make data science a team sport. TIBCO can help empower everyone from data scientists and citizen data scientists to data engineers to business users to developers with flexible and extensible tools.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Data Sport 42

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 free program consists of 45-minute panels and will be streamed online on Hyperight youtube and twitter channel.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

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. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Analytics Tools Applications 78

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

ParkMyCloud

JANUARY 17, 2020

Azure Data Engineer Associate. For individuals that design and implement the management, security, monitoring, and privacy of data – using the full stack of Azure data services – to satisfy business needs. . Azure IoT Developer Specialty. Professional Data Engine er. GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Nominate a project or learn more about the program here.

Data 41

Data Artificial Inteligence Machine Learning Data Engineering 41

Altexsoft

JUNE 7, 2021

High latency makes Hadoop unsuitable for tasks that require nearly real-time data access. No real-time data processing. MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Complex programming environment. Owing to this fact, Spark doesn’t perfectly suit IoT solutions.

Big Data 98

Big Data Tools Data Storage 98

Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. IoT development. Programming skills in languages such as Python, Java, and C++.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Engineering How To 52

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 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. Data availability. Please note!

Tools 52

Tools Software Review Systems Review Testing 52

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40

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 Artificial Inteligence 52

Mobilunity

DECEMBER 27, 2024

Data Handling and Big Data Technologies Since AI systems rely heavily on data, engineers must ensure that data is clean, well-organized, and accessible. In response to the evolving trends, AI-specialized engineers will not only develop advanced solutions but also enhance their safety, transparency, and ethical use.

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Artificial Intelligence 52

Altexsoft

NOVEMBER 10, 2021

Unlike warehouses that can only deal with structured data, lakehouses allow for a wider choice of data formats including video, audio, text documents, PDF files, system logs, etc. Moreover, they support real-time data, e.g., streams from IoT devices. Open formats support. DataFrame API support. websites, etc.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Mobilunity

NOVEMBER 8, 2024

Machine Learning (ML) A subset of AI that focuses on creating algorithms that allow machines to learn from information and make decisions without explicit programming. Mobilunity helps hire skilled ML developers and data engineers for seamless input collection, annotation, and advanced AI model development.

Training 52

Training Artificial Inteligence Data How To 52