Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 86

Process Kafka SQL Machine Learning 86

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

Process 92

Process Kafka Scala SQL 92

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Knowledge Hut

JANUARY 18, 2024

Data Science has wide applications in banking , finance, health care, fraud detection, marketing , etc. Top 10 Most Successful Data Science Companies in 2024 1. All this business enhancement will eventually translate into job opportunities. The best Data Science companies to work for will depend on your priorities.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. If you haven’t looked at Cloudera in a while, it’s time you do . For Cloudera this is a back to the future moment. We live in a hybrid data world.

IT 113

IT Unstructured Data Data Architecture Government 113

Knowledge Hut

MARCH 27, 2024

Some important big data processing platforms are: Microsoft Azure. It is possible to gain competitive advantages over rivals by implementing these benefits as part of an effective strategy. Let’s check some important big data processing tools. Listed below are the top and the most popular tools for big data analytics : 1.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

Velocity : Refers to the speed that data streams into businesses, especially with the growth of IoTs and the time of processing such torrential data. Some examples of Big Data: 1. Types of Big Data 1. Structured (any data that can be stored, accessed and processed in a fixed format) Source - Guru99.com

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59