AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Ascend.io

AUGUST 31, 2023

Secondly , the rise of data lakes that catalyzed the transition from ELT to ELT and paved the way for niche paradigms such as Reverse ETL and Zero-ETL. Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Scott Logic

APRIL 22, 2024

You can directly upload a data set, or it can come through some cort of ingestion pipeline using an ETL tool such as Amazon Glue. Is this AI for the regular business user? In particular, with SageMaker Canvas, it’s possible to create a machine learning model entirely graphically. Have Amazon succeeded?

BI 97

BI Software Engineer Software Engineering Algorithm 97

Knowledge Hut

NOVEMBER 19, 2023

Top 10 Azure Data Engineer Tools I have compiled a list of the most useful Azure Data Engineer Tools here, please find them below. Azure Data Factory Azure Data Factory is a cloud ETL tool for scale-out serverless data integration and data transformation.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

OCTOBER 30, 2021

Building data visualizations. To make data more understandable, it’s often visualized. Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Providing data access tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

AltexSoft

JANUARY 26, 2022

Data modeling. One of the core responsibilities of an analytics engineer is to model raw data into clean, tested, and reusable datasets. As such, they make it easier for business analysts and other stakeholders to view and understand data in a data warehouse or database. Transformations may include.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

FEBRUARY 18, 2022

This data warehouse is accessible to data analysts and scientists and helps them perform data science tasks like data visualization , statistical analysis, machine learning model creation, etc. ETL is a must-have for data-driven businesses. Begin by exporting the raw sales data to AWS S3.

Project 52

Project AWS Kafka Healthcare 52