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

Data Science Data Scientist Apache Hadoop Machine Learning 52

Precisely

MARCH 9, 2023

Apache Hadoop, for example, was initially created as a mechanism for distributed storage of large amounts of information. Hadoop and Snowflake represent tremendous advances in analytics capabilities. Other platforms defy simple categorization, however. It is often used as a foundation for enterprise data lakes.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Apache Hadoop 59

Analytics Vidhya

MARCH 8, 2023

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

Data Science 279

Data Science Analytics Analytics Apache Hadoop 279

Pickl AI

JULY 25, 2023

ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Data Warehousing: Amazon Redshift, Google BigQuery, etc. Data Modeling: Entity-Relationship (ER) diagrams, data normalization, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

JANUARY 18, 2023

This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52