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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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. Predictive BI insights with Amazon QuickSight Amazon QuickSight is AWS’s offering in the business intelligence dashboard space. Is this AI for the regular business user?

BI 97

BI Software Engineer Software Engineering Algorithm 97

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

AltexSoft

OCTOBER 30, 2021

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. Data engineer’s responsibilities — Development and Architecture.

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

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52