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 52

Machine Learning Machine Learning Data Lakes AI 52

Pickl AI

DECEMBER 4, 2024

Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Understanding real-time data processing frameworks, such as Apache Kafka, will also enhance your ability to handle dynamic analytics. AWS or Azure) will be increasingly important as more organisations migrate their operations online.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

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 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Pickl AI

MARCH 19, 2025

Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Cloud-based tools like Snowflake and BigQuery enhance scalability and performance.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52