Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

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Pickl AI

APRIL 7, 2025

Summary: This blog explains the difference between cloud computing and grid computing in simple terms. Discover how each impacts industries like data science and make smarter tech decisions. Ideal for beginners and tech enthusiasts exploring modern computing trends. What Exactly Is Cloud Computing?

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Data Science Blog

JUNE 21, 2023

Process Mining demands Big Data in 99% of the cases, releasing bad developed extraction jobs will end in big cost chunks down the value stream. When accepting the investment character of big data extractions, the investment should be done properly in the beginning and therefore cost beneficial in the long term.

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Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

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IBM Journey to AI blog

FEBRUARY 6, 2024

It’s hard to imagine a business world without cloud computing. There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. What is cloud computing?

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Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. Learn Cloud Computing.

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Data Science Blog

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

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IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.

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Smart Data Collective

JUNE 4, 2021

Along with data science, other related skills are needed to work on data science projects. Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Use cases of data science.

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IBM Journey to AI blog

DECEMBER 20, 2023

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. Public cloud infrastructure is a type of cloud computing where a third-party cloud service provider (e.g.,

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Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

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ODSC - Open Data Science

MAY 5, 2023

By using cloud computing, you can easily address a lot of these issues, as many data science cloud options have databases on the cloud that you can access without needing to tinker with your hardware. As such, here are a few data engineering and data science cloud options to make your life easier.

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IBM Journey to AI blog

NOVEMBER 13, 2023

As an open-source system, Kubernetes services are supported by all the leading public cloud providers, including IBM, Amazon Web Services (AWS), Microsoft Azure and Google. Large-scale app deployment Heavily trafficked websites and cloud computing applications receive millions of user requests each day.

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Data Science Dojo

JULY 3, 2024

Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

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IBM Journey to AI blog

AUGUST 6, 2024

Serverless, or serverless computing, is an approach to software development that empowers developers to build and run application code without having to worry about maintenance tasks like installing software updates, security, monitoring and more. Despite its name, a serverless framework doesn’t mean computing without servers.

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Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. The post Data Warehouse vs. Data Lake appeared first on Precisely.

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Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow.

Data Science 52

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Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

Machine Learning 52

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Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). They ensure that data is accessible for analysis by data scientists and analysts. Experience with big data technologies (e.g., Data Management and Processing Develop skills in data cleaning, organisation, and preparation.

AI 52

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IBM Journey to AI blog

AUGUST 12, 2024

Also, with spending on cloud services expected to double in the next four years , both serverless and microservices instances should grow rapidly since they are widely used in cloud computing environments. What are microservices?

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IBM Journey to AI blog

JANUARY 29, 2024

Examples include AWS® , Google Cloud Services® , IBM Cloud® , and Microsoft Azure® The cloud computing infrastructure bridges a gap for cloud resources, making it easier and scalable for an organization to run every workload.

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Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. million by 2028.

Data Engineering 52

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ODSC - Open Data Science

MAY 25, 2023

Ion Stoica, PhD Professor, Director | UC Berkeley, RISELab Ion Stoica, PhD’s current research focuses on cloud computing and networked computer systems. Mario Inchiosa, PhD Principal Data Scientist Manager | Microsoft Dr. Inchiosa’s current work focuses on AI-led co-innovation engagements.

Data Science 52

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The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture.

Machine Learning 134

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Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. The future lies in the cloud.

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phData

JULY 25, 2023

There is no one size fits all approach to data strategy cost. An online business involves the use of cloud computing and storage platforms. That’s where most of your budget goes when implementing your data strategy. Cloud Storage Platforms There are multiple cloud storage platforms available for your business.

Data Engineer 52

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phData

JULY 25, 2023

There is no one size fits all approach to data strategy cost. An online business involves the use of cloud computing and storage platforms. That’s where most of your budget goes when implementing your data strategy. Cloud Storage Platforms There are multiple cloud storage platforms available for your business.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JULY 20, 2023

Those issues included descriptions of the types of data centers, the infrastructure required to create these centers, and alternatives to using them, such as edge computing and cloud computing. The utility of data centers for high performance and quantum computing was also described at a high level.

AI 52

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Data Science Dojo

MAY 24, 2024

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Clean and well-prepared data are essential for building accurate and effective models, as the quality of data directly impacts the outcome of predictive models.

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IBM Journey to AI blog

MARCH 20, 2024

Most of us take for granted the countless ways public cloud-related services—social media sites (Instagram), video streaming services (Netflix), web-based email applications (Gmail), and more—permeate our lives. What is a public cloud? A public cloud is a type of cloud computing in which a third-party service provider (e.g.,

Cloud Computing 112

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Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies.

Data Science 52

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IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks. What are application analytics?

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ODSC - Open Data Science

NOVEMBER 2, 2023

Assisting customers and corporations in undergoing big data processing. Its relevancy to cloud computing provides these boons and more. Transforming Data Center Infrastructure Cloud infrastructure takes up a deceptive amount of physical space despite filling up digital areas. Automating tedious tasks.

Cloud Computing 52

Cloud Computing Data Science AI AI 52

Pickl AI

APRIL 1, 2025

Summary: This cloud computing roadmap guides you through the essential steps to becoming a Cloud Engineer. Learn about key skills, certifications, cloud platforms, and industry demands. Thats cloud computing! The demand for cloud experts is skyrocketing! Start your journey today! And guess what?

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