ProjectPro

JUNE 6, 2025

As per International Data Corporation (IDC), worldwide data will grow 61% to 175 zettabytes by 2025! generates a humongous amount of data. With the increase in the data and most of the data being unstructured (images, videos, audio, etc.) Let’s understand this with an example.

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Deep Learning Algorithm Machine Learning Datasets 73

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 Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Big data analytics market is expected to be worth $103 billion by 2023. We know that 95% of companies cite managing unstructured data as a business problem. of companies plan to invest in big data and AI. million managers and data analysts with deep knowledge and experience in big data. While 97.2%

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

So, whether you are a seasoned data engineer or just starting your data journey, this exploration of data integration promises to turn your data mountains into golden opportunities. Table of Contents What Are Data Integration Projects? data warehouses). This is where the magic happens!

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Data Integration Project Data Lake Hospitality 40

ProjectPro

JUNE 6, 2025

Why is Data Engineering In Demand? Data Engineer Job Growth and Demand in 2025 What Skills Does a Data Engineer Need? Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

With such a high level of competition, you need to prepare well for your data modeling job interview to stay ahead of your competitors. Let us dive into these categories one by one and get you started in your data modeling journey! Facebook Data Modeling Interview Questions 48. Redshift Data Modeling Interview Questions 74.

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Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Netflix Analytics Engineer Interview Questions and Answers Here's a thoughtfully curated set of Netflix Analytics Engineer Interview Questions and Answers to enhance your preparation and boost your chances of excelling in your upcoming data engineer interview at Netflix: How will you transform unstructured data into structured data?

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

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Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

In some applications, such as marketing, the ability to partition data into distinct datasets depending on specific features is highly beneficial. Outliers Model Unlike the classification and forecast models, the outlier model deals with anomalous data items within a dataset.

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Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Data Modeling Analyzing unstructured data models is one of the key responsibilities of a machine learning career, which brings us to the next required skill- data modeling and evaluation. Having a solid knowledge of data modeling concepts is essential for every machine learning professional.

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Machine Learning Engineering Algorithm Programming Language 49

Monte Carlo

JUNE 3, 2025

Read on for the major announcements from the Snowflake Summit 2025 keynotes this year. Its streamlining innovation in new ways, and noticeably, the first innovation he calls out is unstructured data turns out, its foreshadowing for some of the announcements to come. I want to leverage AI with our data.

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Unstructured Data Government SQL Data Architecture 40

ProjectPro

JUNE 6, 2025

According to the World Economic Forum, AI is expected to create 97 million new jobs by 2025 in areas like data science, data analysis, software development, and digital transformation. Excellent at handling noisy, unstructured data like images. Limitations Struggles with ambiguous or high-dimensional data.

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making.

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Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

50 Cloud Computing Interview Questions and Answers f0r 2025 Basic Interview Questions on Cloud Computing Cloud Computing Interview Questions for Experienced How to prepare for a Cloud Computing Job Interview? Apache Spark - Apache Spark is an open-source analytics engine that computes and processes large datasets.

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Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

The total amount of data that was created in 2020 was 64 zettabytes! And by 2025, this number is estimated to reach 180 zettabytes, given the increased adoption of people working from home. This influx of data and surging demand for fast-moving analytics has had more companies find ways to store and process data efficiently.

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Data Ingestion Data Engineer Data Engineering Project 45

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. Data Analysis Tools- How does Big Data Analytics Benefit Businesses?

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Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Here are a few statistics that will show why choosing a career in AI and ML is the best option for you in 2024- The World Economic Forum predicts that artificial intelligence will replace some 85 million jobs and create 97 million new jobs by 2025. Data Analytics- Knowing how to clean, analyze, and interpret data is crucial.

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Machine Learning Computer Science Consulting Software Engineer 40

ProjectPro

JUNE 6, 2025

The low-cost storage feature of Hadoop allows you to store data, even unstructured data like text, photos, and video, and then figure out what to do with it later. RapidMiner Studio is a visual data science pipeline builder that speeds up prototyping and model validation.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Sentiment Analysis and Voice of Customer Emerging Trends in AI Data Analytics Build AI and Data Analytics Skills with ProjectPro FAQS What is AI in Data Analytics? AI in data analytics refers to the use of AI tools and techniques to extract insights from large and complex datasets faster than traditional analytics methods.

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Data Analytics Unstructured Data Datasets BI 40

ProjectPro

JUNE 6, 2025

While this problem can be solved using various machine learning algorithms as well but with an increase of data, there might be limitations for the typical models in use. To solve the problem, Spark is used for doing descriptive and predictive analysis on huge datasets.

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Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Business Analysts can successfully transition to Data Scientists with the right training, education, and experience. A degree in computer science, statistics, or data science can also help build the necessary foundation. Uses statistical and computational methods to analyze and interpret data. js, and ggplot2.

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Business Analyst Portfolio Data Mining Programming Language 40

ProjectPro

JUNE 6, 2025

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. Big data engineers at Palantir are driven by the mission of empowering enterprises to make sense of their data to solve the most persistent problems.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

ProjectPro

JUNE 6, 2025

We'll break down the fundamentals, walk you through the architecture, and share actionable steps to set up a robust and scalable data lake. With global data creation expected to soar past 180 zettabytes by 2025, businesses face an immense challenge: managing, storing, and extracting value from this explosion of information.

Data Lake 40

Data Lake Building Hadoop Raw Data 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. Do they build an ETL data pipeline? billion to USD 87.37

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Data Profiling, also referred to as Data Archeology is the process of assessing the data values in a given dataset for uniqueness, consistency and logic. Data profiling cannot identify any incorrect or inaccurate data but can detect only business rules violations or anomalies. 5) What is data cleansing?

Data Mining 40

Data Mining Data Cleanse Datasets Hadoop 40

ProjectPro

JUNE 6, 2025

This task is achieved by designing algorithms that can extract meaning from large datasets in audio or text format by applying machine learning algorithms. This aim is achieved by transforming unstructured data into a machine-readable format. Give examples of any two real-world applications of NLP.

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

ProjectPro

JUNE 6, 2025

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. The dataset for Amazon Product Reviews: Amazon Product Reviews Dataset. Beginners can use the small IMDb reviews dataset to test their skills.

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Coding Project Entertainment Datasets 40

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

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Data Science Data Engineering Data Engineer Engineering 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.

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Data Analytics Healthcare Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

This expertise is crucial for advancing artificial intelligence and machine learning , driving innovation across various industries, including creative arts, content creation, virtual reality, and data synthesis, where realistic and creative outputs are essential. Manage and integrate large datasets to train generative AI models.

Engineering 53

Engineering Entertainment Deep Learning Machine Learning 53

ProjectPro

JUNE 6, 2025

The global data analytics market is expected to reach 68.09 billion USD by 2025. Businesses are finding new methods to benefit from data. Data engineering entails building data pipelines for ingesting, modifying, supplying, and sharing data for analysis.

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Data Engineering Data Engineer Engineering Data Lake 40

Data Engineering Weekly

DECEMBER 16, 2024

Vector Search and Unstructured Data Processing Advancements in Search Architecture In 2024, organizations redefined search technology by adopting hybrid architectures that combine traditional keyword-based methods with advanced vector-based approaches. What is ahead of us in 2025? Stay Tuned.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

ProjectPro

JUNE 6, 2025

Bureau of Labor Statistics , employment for data scientists is projected to grow by 36% from 2023 to 2033, significantly outpacing the average job growth rate across all sectors. Moreover, a recent IBM report predicts that by 2025, there will be an estimated 2.7 Will AI Replace Data Science Jobs?

Data Science 40

Data Science Machine Learning BI Certification 40

ProjectPro

JUNE 6, 2025

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Sync Computing

JANUARY 27, 2025

The global data landscape is experiencing remarkable growth, with unprecedented increases in data generation and substantial investments in analytics and infrastructure. As the volume of data continues to grow, so does the need for specialized skills to effectively manage it. M6i , M7g ).

AWS 52

AWS Data Lake Machine Learning Big Data 52

ProjectPro

JUNE 6, 2025

The amount of data created is enormous, and with this pandemic forcing us to stay indoors, we are spending a lot of time over the internet generating massive amounts of data - In 2020, we created 1.7 MB of data every second. By 2025, 200+ zettabytes of data will be in cloud storage around the globe.

Data Mining 40

Data Mining Machine Learning Data Science Algorithm 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.

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Data Science BI Business Intelligence Data Mining 97