Ascend.io

OCTOBER 28, 2024

It is important to note that normalization often overlaps with the data cleaning process, as it helps to ensure consistency in data formats, particularly when dealing with different sources or inconsistent units. Data Validation Data validation ensures that the data meets specific criteria before processing.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. AWS Glue based on several aspects to help you choose the right platform for your big data project needs.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

DareData

JULY 5, 2023

The architecture of a data lake project may contain multiple components, including the Data Lake itself, one or multiple Data Warehouses or one or multiple Data Marts. The Data Lake acts as the central repository for aggregating data from diverse sources in its raw format.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

NOVEMBER 17, 2023

You should be able to create intricate queries that use subqueries, join numerous tables, and aggregate data. You should also be able to create indexes and create effective data structures to optimize queries. Data Modeling The process of creating a logical and physical data model for a system is known as data modeling.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

AltexSoft

AUGUST 4, 2021

The step involving data transfer, filtering, and loading into either a data warehouse or data mart is called the extract-transform-load (ELT) process. When dealing with dependent data marts, the central data warehouse already keeps data formatted and cleansed, so ETL tools will do little job.

Data Lake 64

Data Lake Data Warehouse ETL Tools Database 64

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

ProjectPro

DECEMBER 7, 2021

Workflow: It involves the sequencing of jobs in the data pipeline and managing their dependency. Workflow dependencies can be technical or business-oriented, deciding when a data pipeline runs. Monitoring: It is a component that ensures data integrity. ADF does not store any data on its own.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52