Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

InfoQ Culture Methods

FEBRUARY 22, 2022

Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available. The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers.

Artificial Inteligence 109

Artificial Inteligence Machine Learning Testing Development 109

O'Reilly Media - Ideas

AUGUST 18, 2020

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. Lessons Learned from Data Warehouse and Data Engineering Platforms. A little of both?

Artificial Inteligence 145

Artificial Inteligence Machine Learning Data Data Engineering 145

d2iq

JANUARY 18, 2022

In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

UruIT

APRIL 27, 2020

And whether you’re a novice or an expert, in the field of technology or finance, medicine or retail, machine learning is revolutionizing your industry and doing it at a rapid pace. You may recognize the ways that Machine Learning can improve your life and work but may not know how to implement it in your own company.

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

CIO

OCTOBER 20, 2023

CompTIA A+ CompTIA offers a variety of certifications for IT pros at every stage of their IT careers, and the CompTIA A+ certification is its entry-level IT certification covering the foundations of hardware, technical support, and troubleshooting. To earn your CompTIA A+ certification you’ll have to pass two separate exams.

SCRUM 206

SCRUM Azure AWS Agile 206

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. Novices and non-experts have also benefited from easy-to-use, open source libraries for machine learning. had a national surplus of people with data science skills.

Technology 103

Technology Artificial Inteligence Machine Learning Hardware 103

AWS Machine Learning - AI

MARCH 13, 2025

Its serverless architecture allowed the team to rapidly prototype and refine their application without the burden of managing complex hardware infrastructure. For more about Amazon Bedrock, see Get started with Amazon Bedrock and learn about features such as cross-Region inference to help scale your generative AI features globally.

Generative AI 98

Generative AI CTO Coach AWS Artificial Inteligence 98

Cloudera

AUGUST 26, 2020

Learn more about their solutions here. Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information. Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform.

Data 84

Data Artificial Inteligence Machine Learning Disaster Recovery 84

Erik Bernhardsson

DECEMBER 6, 2022

Data teams often need to change infrastructure a lot more often (sometimes every new cron job needs a Terraform update), have very “bursty” needs for compute power, and needs a much wider range of hardware (GPUs! There's a weird sort of backend-normative view of what data teams should do, but I think it's very misguided.

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Adopting AI can help data quality.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

Cloudera

SEPTEMBER 29, 2020

CDW outperformed HDInsight by over 40% in total query runtime for TPC-DS queries using the same hardware specs (see Figure 1). Finally, CDW is offered in CDP along with other data lifecycle services – Data Engineering, Operational Database, Machine Learning, and Data Hub.

Azure 120

Azure Data Comparison Virtualization 120

O'Reilly Media - Ideas

SEPTEMBER 15, 2021

The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ). Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Salaries by Tool and Platform. Is Spark a tool or a platform?

Survey 145

Survey Data Technical Review Training 145

Cloudera

DECEMBER 20, 2023

The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

Artificial Inteligence 71

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 71

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Coforge

AUGUST 20, 2019

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. And, with exponentially increasing computing power and newer chip architectures, Machine Learning (ML) has emerged as a powerful technique for building models over Big Data to predict outcomes.

Artificial Inteligence 8

Artificial Inteligence Machine Learning Enterprise Software Review 8

Cloudera

MAY 17, 2021

In this blog, we’ll cover the complete range of new capabilities and updates for CDP Private Cloud as a whole (the platform) as well as for both the CDW (Cloudera Data Warehouse) and CML (Cloudera Machine Learning) services. CDW – Lower minimum hardware requirements. Platform – In-place Updates.

Cloud 90

Cloud Artificial Inteligence Machine Learning Storage 90

Erik Bernhardsson

OCTOBER 27, 2015

If you want to understand the business and generate actionable insights, then in my experience you need pretty much no knowledge of statistics and machine learning. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering. It’s very different. and much more.

Data 101

Data Big Data Artificial Inteligence Machine Learning 101

Erik Bernhardsson

OCTOBER 27, 2015

If you want to understand the business and generate actionable insights, then in my experience you need pretty much no knowledge of statistics and machine learning. So I think for anyone who wants to build cool ML algos, they should also learn backend and data engineering. It’s very different. and much more.

Data 100

Data Big Data Artificial Inteligence Machine Learning 100

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

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

Mobilunity

DECEMBER 9, 2024

Have you ever wondered how often people mention artificial intelligence and machine learning engineering interchangeably? It might look reasonable because both are based on data science and significantly contribute to highly intelligent systems, overlapping with each other at some points.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Mobilunity

DECEMBER 27, 2024

Understanding of Machine Learning Algorithms ML expertise is the foundation of building effective, adaptable, and reliable systems. From image recognition and natural language processing to autonomous vehicles and personalized recommendations, AI algorithms must continuously learn and improve from data.

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Artificial Intelligence 52

Abhishek Tiwari

DECEMBER 27, 2017

Because supported big data frameworks and applications can utilize the same internal memory format, they can avoid data serialization and deserialization to convert data between various formats. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Trends 49

Trends Artificial Inteligence Data Big Data 49

Cloudera

MAY 17, 2021

Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed.

Cloud 90

Cloud Data Agile Analytics 90

Mentormate

OCTOBER 31, 2023

The allure of the latest machine-learning techniques is undeniable, but without a well-structured approach, you risk getting lost in the technological maze. Venturing into the intricate realm of AI project planning often feels like navigating a labyrinth of possibilities, just as complex as the algorithms themselves.

Artificial Inteligence 98

Artificial Inteligence Healthcare Budget Training 98

DataRobot

FEBRUARY 9, 2022

Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed. Manual processes cannot keep up with the speed and scale of the machine learning lifecycle , as it evolves constantly. How to Thrive in the Age of Data Dominance.

Artificial Inteligence 52

Artificial Inteligence Machine Learning eBook Training 52

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). But how do you move data? You need to have infrastructure, hardware and/or software, that will allow you to do that. You need an efficient data pipeline. What is a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JANUARY 14, 2021

What specialists and their expertise level are required to handle a data warehouse? However, all of the warehouse products available require some technical expertise to run, including data engineering and, in some cases, DevOps. ELT approach helps with capturing raw data and then finding the best use case for it.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

JUNE 7, 2021

Hadoop allows you to leverage data from multiple sources and in different formats, both structured and unstructured. You don’t need to archive or clean data before loading. Hadoop works on low-cost, commodity hardware which makes it relatively cheap to maintain. Physically, they require the best hardware resources available.

Big Data 98

Big Data Tools Data Storage 98

Cloudera

FEBRUARY 1, 2024

Moreover, it is a period of dynamic adaptation, where documentation and operational protocols will adapt as your data and technology landscape change. Resource allocation: determine the hardware and cloud resources required for the installation. Network setup: configure the network infrastructure to ensure connectivity and data flow.

Backup 82

Backup Cloud Architecture Resources 82

Altexsoft

MARCH 18, 2021

Transformations may include: data sorting and filtering to get rid of irrelevant items, de-duplicating and cleansing, translating and converting, removing or encrypting to protect sensitive information, splitting or joining tables, etc. These are data engineers who are responsible for implementing these processes.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

ParkMyCloud

MAY 29, 2019

BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. Data Detective. Man-Machine Teaming Manager. Quantum Machine Learning Analyst. Or, perhaps consider these interesting cloud job titles we came across for the future: . Master of Edge Computing.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Cloudera

APRIL 26, 2023

It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. The platform offers advanced capabilities for data warehousing (DW), data engineering (DE), and machine learning (ML), with built-in data protection, security, and governance.

Cloud 64

Cloud Data Load Balancer Storage 64