Azure, Document and Hadoop - Data Science Current

Big Data vs. Data Science: Demystifying the Buzzwords

Pickl AI

APRIL 21, 2025

Big Data technologies include Hadoop, Spark, and NoSQL databases. Unstructured Data: Data with no predefined format (like text documents, social media posts, images, audio files, videos). Big Data Technologies Enable Data Science at Scale Tools like Hadoop and Spark were developed specifically to handle the challenges of Big Data.

Big Data

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Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

JUNE 7, 2024

Open-Source Community: Airflow benefits from an active open-source community and extensive documentation. Key Features Out-of-the-Box Connectors: Includes connectors for databases like Hadoop, CRM systems, XML, JSON, and more. Comprehensive Documentation: The platform offers detailed documentation for building custom workflows.

ETL

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A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

NOVEMBER 25, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

For instance, if the collected data was a text document in the form of a PDF, the data preprocessing—or preparation stage —can extract tables from this document. The pipeline in this stage can convert the document into CSV files, and you can then analyze it using a tool like Pandas. Unstructured.io

Machine Learning

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Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

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. Big Data Tools Integration Big data tools like Apache Spark and Hadoop are vital for managing and processing massive datasets.

Machine Learning

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

DECEMBER 11, 2023

LakeFS Most big data storage solutions such as Azure, Google cloud storage, and Amazon S3 have good performance, cost-effective, and have good connectivity with other tooling. Reference diagram of lakeFS (Source: official documentation ) Strengths It works with all data formats without requiring any changes from the user side.

Machine Learning

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Data Science Cheat Sheet for Business Leaders

Pickl AI

APRIL 2, 2024

Unstructured Data: Data without a predefined structure, like text documents, social media posts, or images. Hadoop/Spark: Frameworks for distributed storage and processing of big data. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.

Data Science

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Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets. Additionally, familiarity with cloud platforms (e.g.,

Data Science

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How to Effectively Handle Unstructured Data Using AI

DagsHub

NOVEMBER 11, 2024

Textual Data Textual data is one of the most common forms of unstructured data and can be in the format of documents, social media posts, emails, web pages, customer reviews, or conversation logs. Platforms like Azure Data Lake and AWS Lake Formation can facilitate big data and AI processing.

AI

AI AI Data Lakes Database

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

JANUARY 7, 2025

Classification techniques, such as image recognition and document categorization, remain essential for a wide range of industries. Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Kafka remains the go-to for real-time analytics and streaming.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

Building ML Platform in Retail and eCommerce

The MLOps Blog

MAY 31, 2023

To store Image data, Cloud storage like Amazon S3 and GCP buckets, Azure Blob Storage are some of the best options, whereas one might want to utilize Hadoop + Hive or BigQuery to store clickstream and other forms of text and tabular data. One might want to utilize an off-the-shelf ML Ops Platform to maintain different versions of data.

ML

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

FEBRUARY 23, 2025

Evaluate Community Support and Documentation A strong community around a tool often indicates reliability and ongoing development. Evaluate the availability of resources such as documentation, tutorials, forums, and user communities that can assist you in troubleshooting issues or learning how to maximize tool functionality.

Big Data

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Mastering Google Cloud Platform AI: Your Complete Guide to GCP AI Platform

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. As Google Cloud’s official documentation explains, you’re leveraging years of Google’s expertise in machine learning. What Exactly is GCP AI Platform?

Machine Learning

Machine Learning Machine Learning AI AI

Best Data Engineering Tools Every Engineer Should Know

Pickl AI

MARCH 19, 2025

MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. Microsoft Azure Synapse Analytics : A cloud-based analytics service for Big Data and Machine Learning.

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Data Science Current

Big Data vs. Data Science: Demystifying the Buzzwords

Top ETL Tools: Unveiling the Best Solutions for Data Integration

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A Comprehensive Guide to the main components of Big Data

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A Comprehensive Guide to the Main Components of Big Data

How to Manage Unstructured Data in AI and Machine Learning Projects

Must-Have Skills for a Machine Learning Engineer

Best 8 Data Version Control Tools for Machine Learning 2024

Data Science Cheat Sheet for Business Leaders

Predicting the Future of Data Science

How to Effectively Handle Unstructured Data Using AI

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

Building ML Platform in Retail and eCommerce

Top Big Data Tools Every Data Professional Should Know

Mastering Google Cloud Platform AI: Your Complete Guide to GCP AI Platform

Best Data Engineering Tools Every Engineer Should Know

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