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. Stage 1: presenting a Big Data framework and platform. .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. How can the Cloud Help?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Walgreens will be sharing about its cloud automation journey.

Cloud 48

Cloud Hadoop Healthcare Big Data Ecosystem 48

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

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

FEBRUARY 8, 2017

Organizations today are looking to glean insights from a host of multiple sources ranging from systems of record to cloud warehouses and structured and unstructured data from both non-hadoop and hadoop sources. Data lakes allow enterprise to centralize all sorts of information and gain competitive edge in the market.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

AltexSoft

JUNE 26, 2023

Apache HBase and Apache Cassandra are well-known columnar technologies belonging to the Hadoop big data ecosystem; graph, intended for graph structures where data points are connected through defined relationships — like in Neo4J, Amazon Neptune, and OrientDB. The difference between data warehouses, lakes, and marts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52