The Crazy Programmer

MARCH 15, 2021

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. Go is a flexible language used to develop system and network programs, big data software, machine learning programs, and audio and video editing programs. It is highly scalable and easy to learn.

Programming 317

Programming Open Source Trends Quality Assurance 317

Daffodil Software

AUGUST 11, 2021

There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence. Simultaneously, the number of connected IoT devices is also increasing rapidly, posing the need to improve one of the most important aspects of IoT - scalability.

IoT 98

IoT Scalability Artificial Inteligence Artificial Intelligence 98

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

Big Data 96

Big Data Conference Trends Data 96

TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218

Analytics Data Big Data Business Intelligence 218

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability.

Big Data 98

Big Data Tools Data Storage 98

CIO

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform. The biggest challenge is data.

Generative AI 183

Generative AI Technical Advisors Insurance Weak Development Team 183

Toptal

DECEMBER 20, 2022

Today’s cloud building blocks empower any size team—even a lone engineer—to build big data solutions. Learn how to use open-source tools to create scalable architecture for your next project.

Big Data 80

Big Data Architecture Open Source Data 80

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. public, private, hybrid cloud)?

Scalability 94

Scalability Data Technical Review Analytics 94

TechCrunch

JULY 12, 2022

The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. One increasingly popular application is big data analytics, or the process of examining data to uncover patterns, correlations and trends (e.g., customer preferences).

Storage 206

Storage Big Data Analytics Survey 206

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Dzone - DevOps

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 75

Scalability Fashion Architecture Hardware 75

TechCrunch

SEPTEMBER 27, 2021

“With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CIO

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform. The biggest challenge is data.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science. Align data initiatives with business goals.

Data 165

Data Big Data Systems Review Technical Review 165

Perficient

NOVEMBER 17, 2024

This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated. SAP Datasphere is designed to simplify data landscapes by creating a business data fabric. What is SAP Datasphere? What is Databricks?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

TechCrunch

FEBRUARY 23, 2022

“On one side, there’s huge volumes of data. For the last 10 years, big data has just become de rigueur, it’s a normal ordinary thing now and only getting bigger. But the other side of that is how do you interpret all that data?”

Engineering 190

Engineering Open Source Big Data Fintech 190

CIO

JANUARY 20, 2023

The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers. For data to travel seamlessly, they must have the right networking system.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

TechCrunch

NOVEMBER 2, 2022

But if you look closely, certain parts around investing is a big data problem – the kind of problem we can apply machine learning to at scale.”. You can try to do it yourself, but most of us are so busy with our work and life that all sorts of financial planning falls by the side.

Fintech 232

Fintech Real Estate Banking Internet 232

AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface. Akchhaya Sharma is a Sr.

Data 105

Data AWS Groups Knowledge Base 105

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Silent Sound Technology.

Engineering 270

Engineering Wireless 3D Programming 270

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

LAN 215

LAN Systems Administration How To Software Engineering 215

TechCrunch

OCTOBER 18, 2022

“Google Maps has elegantly shown us how maps can be personalized and localized, so we used that as a jumping off point for how we wanted to approach the big data problem.”

Software Review 237

Software Review Weak Development Team Analysis Tools 237

TechCrunch

FEBRUARY 7, 2022

Advances in cloud-based location service are ushering in a new era of location intelligence by helping data engineers, analysts, and developers integrate location data into their existing infrastructure, build data pipelines, and reap insights more efficiently.

Business Intelligence 230

Business Intelligence AWS Data Engineering Sustainability 230

TechCrunch

AUGUST 19, 2021

. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock. “This is a big data problem — how would you design the systems to support that solution?

Technical Cofounder 258

Technical Cofounder Cloud Data Off-The-Shelf 258

Toptal

JANUARY 29, 2023

With the rise of big data, cloud, and streaming platforms, monolithic apps just won’t do. Here’s a blueprint for an adaptable and scalable event-driven microservices project using Kafka and Python.

Microservices 105

Microservices Big Data Scalability Cloud 105

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. For some content, additional screening is performed to generate subtitles and captions.

Media 106

Media Video Artificial Inteligence Generative AI 106

CIO

FEBRUARY 5, 2024

Mashreq initiated a strategy to modernize its core systems globally, aiming for open, modular, and scalable solutions through infrastructure upgrades. Mashreq embarked on a strategic initiative to modernize its global core systems, aiming for solutions that are open, modular, and scalable through crucial infrastructure upgrades.

Banking 179

Banking Artificial Inteligence Blockchain Scalability 179

CIO

MAY 10, 2024

Having emerged in the late 1990s, SOA is a precursor to microservices but remains a skill that can help ensure software systems remain flexible, scalable, and reusable across the organization. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

SOA 195

SOA Linux Video Architecture 195

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 102

Serverless AWS Artificial Inteligence Big Data 102

AWS Machine Learning - AI

NOVEMBER 6, 2024

By using Streamlit and AWS services, data scientists can focus on their core expertise while still delivering secure, scalable, and accessible applications to business users. Conclusion Building and deploying user-friendly generative AI applications no longer requires extensive knowledge of frontend and backend development frameworks.

Generative AI 110

Generative AI AWS Artificial Inteligence Applications 110

CIO

JUNE 1, 2023

Analysts IDC [1] predict that the amount of global data will more than double between now and 2026. Meanwhile, F oundry’s Digital Business Research shows 38% of organizations surveyed are increasing spend on Big Data projects.

Backup 167

Backup Enterprise Data Artificial Inteligence 167

Modern CTO

JANUARY 17, 2025

He has extensive hands-on experience delivering highly scalable distributed systems, big data, cloud technologies and machine learning techniques. Prior to Mailchimp, Jack spent 19 years in senior engineering roles at Intuit.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Software Engineering Big Data 52

TechFides Blog

APRIL 1, 2025

Through scalable processes, real-time data, and advanced analytics, companies are reinventing their business models to achieve efficiency and reduce waste. Advanced technologies such as machine learning and big data analytics facilitate the design of products that consume fewer resources and generate less waste.

Sustainability 40

Sustainability Technology Enterprise Artificial Inteligence 40

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

The Crazy Programmer

FEBRUARY 7, 2025

Handling this colossal data is tough; hence it requires NoSQL. These databases are more agile and provide scalable features; also, they are a better choice to handle the vast data of the customers and find crucial insights. Moreover, its graph edition is capable of visualizing and interacting with extensive data.

Open Source 130

Open Source Scalability Firewall Linux 130