Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. million by 2028.

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Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. At the end of this article, you will fully understand what it entails to be a data scientist or data analyst. Before going into the main purpose of this article, what is data? Experience with cloud platforms like; AWS, AZURE, etc.

Data Science 52

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Pickl AI

NOVEMBER 5, 2024

This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. This article will guide readers in selecting the right BI tool—Tableau or Power BI—for their needs in 2024. Tableau supports integrations with third-party tools, including Salesforce, Hadoop, and Google Analytics.

Power BI 52

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Pickl AI

JANUARY 13, 2025

This article explores the top 10 AI jobs in India and the essential skills required to excel in these roles. Key Skills Experience with cloud platforms (AWS, Azure). Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. India’s AI talent pool is expected to grow over 1.25 million by 2027.

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Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

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IBM Journey to AI blog

JANUARY 18, 2023

This article endeavors to alleviate those confusions. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. Multiple products exist in the market, including Databricks, Azure Synapse and Amazon Athena. The concepts and values are overlapping. It can be codified.

Data Lakes 52

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DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers.

Machine Learning 52

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Heartbeat

JULY 31, 2023

In this article, we’ll explore how Comet can be useful for training, developing, and deploying large-scale machine learning models. In this stage, the language model is trained on a large corpus of text, such as news articles, books, or web pages, to learn the patterns and structures of natural language.

Machine Learning 52

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The MLOps Blog

JANUARY 23, 2023

In this article, we will discuss the importance of data versioning control in machine learning and explore various methods and tools for implementing it with different types of data sources. It supports most major cloud providers, such as AWS, GCP, and Azure. The remote repository can be on the same computer, or it can be on the cloud.

ML 52

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The MLOps Blog

MAY 31, 2023

In this article, I will share my learnings of how successful ML platforms work in an eCommerce and what are the best practices a Team needs to follow during the course of building it. Final thoughts This article covered the major components of an ML platform and how to build them for an eCommerce business. But how to build it?

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DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. Platforms like Azure Data Lake and AWS Lake Formation can facilitate big data and AI processing.

AI 52

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How to Learn Machine Learning

MAY 3, 2025

All the clouds are different, and for us GCP offers some cool benefits that we will highlight in this article vs the AWS AI Services or Azure Machine Learning. Dataproc Process large datasets with Spark and Hadoop before feeding them into your ML pipeline. What Exactly is GCP AI Platform?

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