ProjectPro

OCTOBER 28, 2015

Some of the common challenges with data ingestion in Hadoop are parallel processing, data quality, machine data on a higher scale of several gigabytes per minute, multiple source ingestion, real-time ingestion and scalability. Flume is a distributed and reliable service for collecting and aggregating huge amounts of log data.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Ascend.io

OCTOBER 28, 2024

Intermediate Data Transformation Techniques Data engineers often find themselves in the thick of transforming data into formats that are not only usable but also insightful. Intermediate data transformation techniques are where the magic truly begins.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

AltexSoft

AUGUST 4, 2021

Depending on a goal, it may take weeks or months to set up a data lake. Moreover, not all organizations use data lakes. Data mart vs data warehouse vs data lake architectures. Data marts shouldn’t be confused with OLAP cubes either. Hybrid data marts. Data mart constructing.

Data Lake 64

Data Lake Data Warehouse ETL Tools Database 64

DareData

JULY 5, 2023

Understanding the Architecture No company is alike and no infrastructure will be alike. Although there are some guidelines that you can follow when setting up a data infrastructure, each company has it's own needs, processes and organizational structure. Data Sources: How different are your data sources?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

NOVEMBER 17, 2023

In the post, we will investigate how to become an Azure data engineer, the skills required, the roles and responsibilities of an Azure data engineer, and much more. Who is an Azure Data Engineer? You should be able to create intricate queries that use subqueries, join numerous tables, and aggregate data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52