Precisely

JANUARY 9, 2025

Artificial Intelligence (AI) is all the rage, and rightly so. The ETL (extract, transform, and load) technology market also boomed as the means of accessing and moving that data, with the necessary translations and mappings required to get the data out of source schemas and into the new DW target schema.

Data Warehouse 118

Data Warehouse Hadoop Data Governance Data Lakes 118

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. This also led to a backlog of data that needed to be ingested.

Data Science 88

Data Science AWS Hadoop Data Scientist 88

Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. What is Apache Hadoop? What is Apache Spark?

Hadoop 52

Hadoop Big Data Big Data Clustering 52

Smart Data Collective

AUGUST 28, 2021

Since data warehouses can deal only with structured data, they also require extract, transform, and load (ETL) processes to transform the raw data into a target structure ( Schema on Write ) before storing it in the warehouse. Data lakes have become quite popular due to the emerging use of Hadoop, which is an open-source software.

Data Lakes 140

Data Lakes Data Warehouse ETL Data Scientist 140

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 Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Becoming Human

JANUARY 23, 2023

So, we know that data science is a process of getting insights from data and helps the business but where this Artificial Intelligence (AI) lies? After understanding data science let’s discuss the second concern “ Data Science vs AI ”.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. 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.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52