U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

U-Next

JUNE 29, 2022

Preparing data for analysis is known as extract, transform and load (ETL). While the ETL workflow is becoming obsolete, it still serves as a common word for the data preparation layers in a big data ecosystem. Working with large amounts of data necessitates more preparation than working with less data.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Knowledge Hut

JULY 27, 2023

To ensure effective data processing and analytics for enterprises, work with data analysts, data scientists, and other stakeholders to optimize data storage and retrieval. Using the Hadoop framework, Hadoop developers create scalable, fault-tolerant Big Data applications. What do they do?

Hadoop 52

Hadoop Programming Language Banking Scala 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Find sources of relevant data. Choose data collection methods and tools.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

phData: Data Engineering

JANUARY 3, 2022

How do users find data within my systems? These are very complex questions that generally have complex answers, and require knowledge from different business and technology areas: Your business needs to define how data adds value to the organization. This is not a simple task.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

DECEMBER 28, 2021

Data analytics also helps organizations understand their customers better, narrow down their target audiences, and improve marketing campaigns. For example, a pervasive trend identified by IBM's Global Technology Outlook 2015 is that 60% of valuable sensory data can be squandered within milliseconds if not acted!

Architecture 52

Architecture Kafka Java Scala 52