ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Table of Contents What is a Data Architect Role? Thus, these must be strengthened.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Table of Contents Data Analysis Tools- What are they? Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. more accessible. Power BI 4. Apache Spark 6. Qlikview 7.

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Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

For example, Yes Bank, globally recognized at the Gartner Excellence Awards for big data analytics use cases , uses innovative analytics and data mining techniques to map the customer life cycle and gain insights into customer behavior. billion in 2028. billion by 2026.

Project 73

Project Retail Banking Hospitality 73

ProjectPro

JUNE 6, 2025

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Java vs Python for Data Science- Frameworks and Tools Python and Java provide a good collection of built-in libraries which can be used for data analytics, data science, and machine learning.

Java 53

Java Data Science Python Programming Language 53

ProjectPro

JUNE 6, 2025

Build your Data Engineer Portfolio with ProjectPro! FAQs on Data Engineering Projects Top 30+ Data Engineering Project Ideas for Beginners with Source Code [2025] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Source Code: Rossman Store Sales Prediction Project Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2. Machine Learning Careers to Pursue in 2025 1. A data engineer's average annual pay in the United States is $116,950, with a $5,000 cash bonus.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

ProjectPro

JUNE 6, 2025

With the increasing growth and understanding of big data across myriad industries, one can find industry experts sharing their insights about new big data methodologies, tools and best practices at these leading big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

JUNE 6, 2025

For Azure Data Lake Object Storage, file size is not limited. To Azure Data Lake Object Storage, you can easily upload files of any size. Mention some applications of Azure Data Lake. Data warehousing , data mining , data analysis , and data visualization are some tasks that can be performed using Azure Data Lake.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles. billion in 2025. Data classification and prediction become easier with data mining.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

NOVEMBER 30, 2021

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. Oh wait, how can we forget Data Science? We all have heard of Data Scientist: The Sexiest Job of the 21st century. What is Data Mining?

Data Mining 52

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ProjectPro

JUNE 6, 2025

We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume. 180 zettabytes- the amount of data we will likely generate by 2025! This is what data engineering does. But what if we fail to analyze or utilize it in any way?

Data Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Table of Contents A Collection of Take-Home Data Science Challenges for 2025 Latest Data Science Take-Home Challenges That You Must Try! Solved Data Science Take Home Challenges for Beginners Data Science Take-Home Challenges for Interview Preparation How to do well on take-home data science challenges?

Data Science 40

Data Science Medical Machine Learning Retail 40

ProjectPro

JUNE 6, 2025

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 40

Data Mining Data Cleanse Datasets Data Analysis 40

RandomTrees

MARCH 10, 2025

Using Data to Gain Future Knowledge In order to evaluate past data and forecast future events, predictive analytics makes use of statistical models, machine learning, and data mining. In 2025 , the tale of change is about more than simply technology; it is also about the vision, leadership, and strategy that enable it.

Retail 52

Retail Hospitality Data Governance Banking 52

ProjectPro

JUNE 6, 2025

You can use SAS for multiple tasks, including business intelligence , data visualization, data mining, predictive analytics, machine learning, etc. SAS supports informative visualization via graphs, and multiple SAS versions support machine learning, data mining , time-series reporting, etc.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Big data success requires hadoop professionals who can prove their mastery with the tools and techniques of the Hadoop stack. The target audience is IT professionals with a background in analytics, data mining, business intelligence or data management, along with a knack for and interest in mathematics and statistics.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

JUNE 6, 2025

The key responsibilities are deploying machine learning and statistical models , resolving data ambiguities, and managing of data pipelines. Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

For many of the data analyst certifications that we will discuss in this blog, you will find it is helpful if you work on real-world problems. And if you are curious about a one-stop solution where you can gain access to industry-level projects on data analysis , read this article till the end.

Certification 40

Certification Data Mining Business Analyst BI 40

ProjectPro

JUNE 6, 2025

FAQs on Data Analyst Career Path Data Analyst Career Path- Unleashing the Job Trends and Salaries The big data market will likely be worth $229.4 billion by 2025. The demand for data analysts is increasing dramatically along with the data market. Oracle InForm, Oracle DMW, MS SQL Server, or MS Access).

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. you set up to source your data.

Data Science 40

Data Science Datasets Banking Machine Learning 40

ProjectPro

JUNE 6, 2025

The worldwide data warehousing market is expected to be worth more than $30 billion by 2025. Data warehousing and analytics will play a significant role in a company’s future growth and profitability. IT professionals are often disappointed by the time spent preparing data for loading.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

ProjectPro

JUNE 6, 2025

Well, read this blog to learn more about how modern companies leverage data science and machine learning techniques to boost their marketing efforts. Global data generation is likely to reach 463 exabytes per day by 2025. This data can provide actionable insights marketers can use to target their audience.

Data Science 40

Data Science Data Mining Algorithm Retail 40

ProjectPro

JUNE 6, 2025

Furthermore, the job market is expected to significantly transform, with an estimated 97 million people expected to work in AI-related roles by 2025. About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies.

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? This is where the Azure Data Engineer enters the picture.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

ProjectPro

JUNE 6, 2025

Image Source: Exploding Topics The global Artificial Intelligence market is expected to grow over $120B by 2025. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2. Access Data Science and Machine Learning Project Code Examples 14.

Deep Learning 59

Deep Learning Coding Project Portfolio 59

ProjectPro

JUNE 6, 2025

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. Again, this book is free to download, and you can access it using the above link.

Machine Learning 45

Machine Learning Programming Language Datasets Algorithm 45

ProjectPro

JUNE 6, 2025

Developers load data to the staging layer to perform various transformations. Data Integration layer: This layer performs data transformation from staging layer to database layer. It loads the data extracted into the OLAP repository and then makes the necessary changes to create a report. What is Data Purging?

ETL Tools 40

ETL Tools Database-centric Data Warehouse ETL System 40

Knowledge Hut

JANUARY 18, 2024

From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. But here's the fascinating part - it's estimated that by 2025, a whopping 463 exabytes of data will be created globally every single day.

Data Analytics 52

Data Analytics Healthcare Machine Learning Data Cleanse 52

ProjectPro

OCTOBER 28, 2021

If you think machine learning methods may not be of use to you, we reckon you reconsider that because, in May 2021, Gartner has revealed that about 70% of organisations will shift their focus from big to small and wide data by 2025. Again, this book is free to download, and you can access it using the above link.

Machine Learning 52

Machine Learning Programming Language Datasets Algorithm 52

U-Next

AUGUST 25, 2022

As per recent reports, Machine Learning, Deep Learning, Data Analysis, and Natural Language Processing are used by 48% of businesses worldwide to effectively use large data sets. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Knowledge Hut

APRIL 20, 2023

In this post, we'll look at the parallels and distinctions between both professions to help you understand the difference between cybersecurity and data science. Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault.

Data Science 52

Data Science Computer Science Recruitment Healthcare 52

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. No doubt companies are investing in big data and as a career, it has huge potential.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JULY 21, 2021

As per the Future of Jobs Report released by the World Economic Forum in October 2020, humans and machines will be spending an equal amount of time on current tasks in the companies, by 2025. Access the source code for Resume Parsing, refer to Implementing a resume parsing application.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

FEBRUARY 1, 2022

Data science has gained widespread importance due to the availability of data in abundance. As per the below statistics, worldwide data is expected to reach 181 zettabytes by 2025 Source: statists 2021 “Data is the new oil. ” — Clive Humby, 2006 Table of Contents What is a Data Science Case Study?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JULY 15, 2021

billion during 2021-2025. SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

AUGUST 5, 2021

dollars by 2025. You might not be able to find a dataset that has a collection of Instagram spam comments, but you can collect the data for this analysis by scraping the web. Access the Instagram API with Python to get unlabelled comments from Instagram. You can do this on the client-side using a language like JavaScript.

Project 52

Project Datasets Deep Learning Machine Learning 52