AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

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

ProjectPro

DECEMBER 28, 2021

Moreover, Spark SQL makes it possible to combine streaming data with a wide range of static data sources. For example, Amazon Redshift can load static data to Spark and process it before sending it to downstream systems. Many traditional stream processing systems use a continuous operator model to process data.

Architecture 52

Architecture Kafka Java Scala 52

phData: Data Engineering

JANUARY 3, 2022

Data governance is more focused on data administration, and data engineering is focused on data execution. While data engineers are part of the overall data governance strategy, data governance encompasses much more than data collection and curation. This is not a simple task.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. Components of Database of the Big Data Ecosystem . Ingestion .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40