Data Science Dojo

JANUARY 12, 2023

What is a data lake? An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services. Which one is right for your business?

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

Data Lakes 135

Data Lakes Data Warehouse Big Data Big Data 135

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years.

Big Data 145

Big Data Big Data Natural Language Processing Artificial Intelligence 145

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Big data analytic tools provide essential metrics that you can use to monitor your production.

Big Data 92

Big Data Big Data Big Data Analytics Big Data Analytics 92

AWS Machine Learning Blog

JANUARY 30, 2025

Ben West is a hands-on builder with experience in machine learning, big data analytics, and full-stack software development. In her free time, Lauren enjoys reading an playing the piano and cello.

AWS 94

AWS Database AI AI 94

Dataconomy

AUGUST 9, 2023

This data can then be collected, analyzed, and utilized to gain insights, make informed decisions, and optimize processes. This data includes information about user behavior, preferences, locations, interactions, transactions, and more. IoT and connected devices : The Internet of Things has played a crucial role in datafication.

Artificial Intelligence 172

Artificial Intelligence Artificial Intelligence Internet of Things AI 172

IBM Journey to AI blog

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Analytics With the rise of data collected from mobile phones, the Internet of Things (IoT), and other smart devices, companies need to analyze data more quickly than ever before.

Cloud Computing 112

Cloud Computing Internet of Things Big Data Big Data 112

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. These may range from Data Analytics projects for beginners to experienced ones.

Analytics 40

Analytics Analytics Big Data Big Data 40

IBM Journey to AI blog

JUNE 29, 2023

It integrates advanced technologies—like the Internet of Things (IoT), artificial intelligence (AI) and cloud computing —into an organization’s existing manufacturing processes. Industry 4.0

Internet of Things 69

Internet of Things Artificial Intelligence Artificial Intelligence Big Data Analytics 69

Dataconomy

APRIL 20, 2023

Digit-computers are capable of processing and analyzing vast amounts of data quickly and accurately, which has enabled significant advances in fields like artificial intelligence, machine learning, and big data analytics.

Artificial Intelligence 154

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 154

IBM Journey to AI blog

SEPTEMBER 4, 2024

Producers and consumers A ‘producer’, in Apache Kafka architecture, is anything that can create data—for example a web server, application or application component, an Internet of Things (IoT) , device and many others. Here are a few of the most striking examples.

Apache Kafka 58

Apache Kafka Internet of Things Data Pipeline Clustering 58

Pickl AI

JUNE 29, 2023

Furthermore, The platform’s versatility extends beyond data analysis. Moreover, one needs to have some proficiency in data analytics and query languages. Learning Splunk equips individuals with valuable data analysis skills, which are highly sought after in today’s data-driven world.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Summary: Big Data encompasses vast amounts of structured and unstructured data from various sources. Key components include data storage solutions, processing frameworks, analytics tools, and governance practices. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

IBM Journey to AI blog

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Uber, for example, depends on a microservices architecture to build and release its ride-hailing and food-delivery services quickly.

Cloud Computing 119

Cloud Computing Big Data Big Data Internet of Things 119

Pickl AI

JANUARY 16, 2024

Trends shaping careers, like AI integration and real-time analytics, highlight the evolving industry demands. The Data Analyst career growth section emphasises the value of specialisation in a field with substantial job openings in India. ’ In this digital era, Data Analysts fuel innovation.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Dataconomy

APRIL 20, 2023

Digit-computers are capable of processing and analyzing vast amounts of data quickly and accurately, which has enabled significant advances in fields like artificial intelligence, machine learning, and big data analytics.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Cloud Computing Internet of Things 103

Pickl AI

AUGUST 24, 2023

This minimizes the risk of data loss and downtime. Innovation: Cloud Computing encourages innovation by providing access to advanced technologies and services, such as artificial intelligence, machine learning, big data analytics, and more.

Cloud Computing 52

Cloud Computing Big Data Analytics Big Data Analytics Machine Learning 52

Pickl AI

JULY 29, 2024

It utilises the Hadoop Distributed File System (HDFS) and MapReduce for efficient data management, enabling organisations to perform big data analytics and gain valuable insights from their data. Hadoop Cluster Setup Hadoop clusters offer numerous advantages for organisations managing large datasets.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

IBM Journey to AI blog

AUGUST 6, 2024

Big data analytics Serverless dramatically reduces the cost and complexity of writing and deploying code for big data applications. Today, serverless helps developers build scalable big data pipelines without having to manage the underlying infrastructure.

Cloud Computing 45

Cloud Computing Internet of Things Big Data Big Data 45

Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Smart Data Collective

NOVEMBER 20, 2022

In addition, contact tracing in certain offerings could combat the coronavirus outbreak via mobile technologies such as GPS, cellphone masts, and AI-powered big data analytics to assist the government in understanding and managing the spread of COVID-19 within their communities.

Big Data 119

Big Data Big Data Internet of Things Artificial Intelligence 119

Mlearning.ai

AUGUST 18, 2023

As a discipline that includes various technologies and techniques, data science can contribute to the development of new medications, prevention of diseases, diagnostics, and much more. Utilizing Big Data, the Internet of Things, machine learning, artificial intelligence consulting , etc.,

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

AWS Machine Learning Blog

NOVEMBER 12, 2024

Discoveries and improvements across seed genetics, site-specific fertilizers, and molecule development for crop protection products have coincided with innovations in generative AI , Internet of Things (IoT) and integrated research and development trial data, and high-performance computing analytical services.

AWS 117

AWS AI AI Data Lakes 117

Flipboard

JUNE 16, 2025

Unstructured data, therefore, includes non-tabular data spanning records of phone calls and voicemails, it is raw video that has yet to get meta-tagged to explain its contents, it is blogs and web pages, it’s emails and also social media posts in all their forms.

Big Data 136

Big Data Big Data Machine Learning Machine Learning 136