Knowledge Hut

JANUARY 18, 2024

A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

ProjectPro

JANUARY 27, 2023

It is extremely important for businesses to process data correctly since the volume and complexity of raw data are rapidly growing. Over the past few years, data-driven enterprises have succeeded with the Extract Transform Load (ETL) process to promote seamless enterprise data exchange.

BI 52

BI ETL Tools Retail Healthcare 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. Data engineers are experts who specialize in the design and execution of data systems and infrastructure.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Ascend.io

SEPTEMBER 19, 2023

In the world of data engineering, the ETL (Extract, Transform, Load) approach has been the cornerstone for managing and processing data. However , the traditional methods of executing ETL are increasingly struggling to meet the escalating demands of today’s data-intensive environments. The result?

ETL Tools 52

ETL Tools ETL Method Utilities Data Engineering 52

ProjectPro

FEBRUARY 8, 2023

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. AWS Glue is a widely-used serverless data integration service that uses automated extract, transform, and load ( ETL ) methods to prepare data for analysis.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

DECEMBER 21, 2023

Data engineering is the method to collect, process, validate and store data. The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52