Striim

AUGUST 28, 2024

By automating routine tasks, optimizing operations, and providing deep insights through data analysis, AI enables businesses to increase productivity while reducing costs. And contrary to common fears that AI will eliminate jobs, it is expected to create 97 million new jobs by 2025.

Healthcare 52

Healthcare Retail Algorithm Finance 52

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. The Cloudera technology has also enabled Bank of the West to experiment and scale faster.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

APRIL 20, 2023

In today's world, where technology is advancing at an unprecedented pace, the world of cybersecurity faces sophisticated threats and complex challenges daily. To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. What is Data Science?

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

DECEMBER 27, 2023

But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. The Latest Big Data Statistics Reveal that the global big data analytics market is expected to earn $68 billion in revenue by 2025. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

OCTOBER 3, 2022

So, if you want to apply this technology in your projects but have no idea where to start, this post is a great place. machine learning , allowing for analyzing the knowledge contained in the source data and generating new knowledge. In the real world, most data is unstructured data e.g., text, images, audio, and video.

Relational Database 52

Relational Database Banking Media Computer Science 52

Knowledge Hut

OCTOBER 26, 2023

Over 95% of new digital workloads will be implemented on the cloud by 2025, according to Gartner's prediction. Launching a serverless web app requires you to have knowledge of technologies like JavaScript, CSS, and HTML. With AWS, they can simply use computing resources whenever they want and can save a lot.

AWS 52

AWS Coding Project Cloud Computing 52

ProjectPro

NOVEMBER 30, 2021

We all are aware of the advancements in technology; new terminologies are coming in with these advancements. Data is the New Fuel. We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc. MB of data every second.

Data Mining 52

Data Mining Machine Learning Data Science Algorithm 52

Dataquest

OCTOBER 16, 2019

Data engineers are software engineers who specialize in data and data technologies. That makes them quite different from data scientists, who certainly have programming skills, but who typically aren’t engineers. It’s not uncommon for data scientists to hand over their work (e.g., Every day, we create 2.5

Data Engineer 52

Data Engineer Data Engineering Engineering Data Science 52

AltexSoft

MAY 5, 2023

According to “Hospitality in 2025: Automated, Intelligent…and More Personal” research by Oracle and Skift , over half of the executives responded that they’ve already implemented automated messaging for customer service requests or are experimenting with it. Key opportunities of adopting AI in the STR sector Automation and efficiency.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

FEBRUARY 21, 2023

This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain. Why Are Data Engineering Skills In Demand? The World Economic Forum predicts that by 2025, 463 exabytes of data will be produced daily across the world.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

MAY 8, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: wired.com The rate at which we are generating data is frightening - leading to “ Datafication ” of the world.

Big Data 40

Big Data Retail Banking Unstructured Data 40

phData: Data Engineering

JANUARY 3, 2022

Everything You Need to Know in 2022 Nick Goble January 4, 2022 It’s easy to overlook the amount of data that’s being generated every day — from your smartphone, your Zoom calls, to your Wi-Fi-connected dishwasher. It is estimated that the world will have created and stored 200 Zettabytes of data by the year 2025.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Governance 52

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. As per International Data Corporation (IDC), worldwide data will grow 61% to 175 zettabytes by 2025!

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Snowflake

MARCH 18, 2024

But there’s still a long way to go in an environment where the volume, velocity and complexity of data and data types is constantly increasing. By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. petabytes daily in 2021.

Unstructured Data 89

Unstructured Data Government Data Pipeline Cloud 89

ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. billion in 2025. Topic modelling can also be used to classify large datasets of emails.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Cloudera

OCTOBER 8, 2020

Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. But knowing what to do with that data, and how to do it, is another thing entirely. .

Unstructured Data 106

Unstructured Data Technology Cloud Process 106