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. Real-life Examples of Big Data In Action .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

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

Layers of big data components compiled together to form a stack, and it isn’t as straightforward as collecting data and converting it into knowledge. . Data must be consumed from many sources, translated and stored, and then processed before being presented understandably.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

phData: Data Engineering

JANUARY 3, 2022

Fortune 1000 companies can gain more than $65 million additional net income, only by increasing their data accessibility by 10%. This means it’s business-critical that companies can derive value from their data to better inform business decisions, protect their enterprise and their customers, and grow their business.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

JANUARY 19, 2021

Cloudera Flow Management , based on Apache NiFi and part of the Cloudera DataFlow platform , is used by some of the largest organizations in the world to facilitate an easy-to-use, powerful, and reliable way to distribute and process data at high velocity in the modern big data ecosystem. DataFlow Process Group.

Management 65

Management Big Data Ecosystem Kafka AWS 65

ProjectPro

DECEMBER 28, 2021

Managing, processing, and streamlining large datasets in real-time is a key functionality of big data analytics in an enterprise to enhance decision-making. Data analytics also helps organizations understand their customers better, narrow down their target audiences, and improve marketing campaigns.

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52