ProjectPro

JUNE 6, 2025

This blog will provide you with valuable insights, exam preparation tips, and a step-by-step roadmap to ace the AWS Data Analyst Certification exam. So if you are ready to master the world of data analysis with AWS, then keep reading. Organizations are currently dealing with petabyte-scale data that hold valuable insights.

AWS 52

AWS Certification Data Analytics Big Data 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 6, 2025

Completing a data analytics project is time consuming and not so easy. The success of any data analysis project majorly depends on how effective your data analytics project plan is and how well you can implement it. Your data can be in any format, such as flat files, HTML, XML, JSON, APIs, etc.

Data Analytics 40

Data Analytics Project Big Data Tools BI 40

RandomTrees

NOVEMBER 25, 2024

Generative AI employs ML and deep learning techniques in data analysis on larger datasets, resulting in produced content that has a creative touch but is also relevant. Moving forward, such data analysis allowed the model to predict the probability of customers leaving within the next six-month period with great accuracy.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

ProjectPro

JUNE 6, 2025

The reason for this growing importance is simple: the world is becoming increasingly data-driven. Learning basic AI concepts , particularly in the beginner-friendly domain of data analysis , will thus become a must-have skill among professionals of different industries. FAQs What is Artificial Intelligence for Data Analysis?

Data Analytics 40

Data Analytics Healthcare Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Data modeling skills enable you to create accurate models and communicate using visualizations. Data Analysis Data analytics engineers must be familiar with the principles and formulas of data analysis. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Data Analytics 40

Data Analytics Engineering IT Computer Science 40

ProjectPro

JUNE 6, 2025

Data Science Pipeline Architecture Data Science Pipeline Architecture typically comprises three core steps: Data Collection, Storage, Processing, & Analytics, and Visualization. Categorizing these sources based on the type of data, they generate helps us understand the nature and relevance of the data they provide.

Data Science 40

Data Science Building AWS Data Lake 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. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Reddit, being a vast community-driven platform, provides a rich data source for extracting valuable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

U-Next

OCTOBER 20, 2022

In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. Similarly, we must consider other data sources while assessing the findings or recommendations of data analysis. . Outliers can severely distort data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

ProjectPro

JUNE 6, 2025

A data architect role involves working with dataflow management and data storage strategies to create a sustainable database management system for an organization. Types of Data Architect Careers Data architects can apply their skills in several ways and in various job roles.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Using the data warehouse and analytics tools, they can quickly identify the issue by analyzing the data collected from the machines and sensors. The data collected from the machines include production output, uptime, downtime, and performance metrics.

Coding 40

Coding Manufacturing Data Cleanse Data Warehouse 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? Let us understand the key steps involved in real-time data ingestion into HDFS using Sqoop with the help of a real-world use case where a retail company collects real-time customer purchase data from point-of-sale systems and e-commerce platforms.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Million opportunities for remote and on-site data engineering roles. So, have you been wondering what happens to all the data collected from different sources, logs on your machine, data generated from your mobile, data in databases, customer data, and so on? We call this system Data Engineering.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

MAY 23, 2015

The main objective of migrating the Hadoop clusters was to combine 10 different websites into a single website so that all the unstructured data generated is collected into a new Hadoop cluster. Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

APRIL 14, 2015

Big data dating is the secret of success behind long lasting romance in relationships of the 21 st century. This article elaborates how online dating data is used by companies to help customers find the secret to long lasting romance through data analysis techniques. billion by 2016. Image Credit: linkurio.us

Big Data 52

Big Data Data Analysis MongoDB Hadoop 52

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Handle and source data from different sources according to business requirements. Focus on building skills specifically in computer science programming, data analysis, data modeling , machine learning, etc.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. It involves various steps like data collection, data quality check, data exploration, data merging, etc. This blog covers all the steps to master data preparation with machine learning datasets.

Data Preparation 45

Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

3 Reasons to Use AI in Data Analytics Traditional data analysis methods are struggling to keep up. With so much new data pouring in every second, missing what matters is easy. Manual Data Processing Slows Down Everything Manual data processing has long been a bottleneck when trying to analyze historical data.

Data Analytics 40

Data Analytics Unstructured Data Datasets BI 40

ProjectPro

JUNE 6, 2025

How do you prepare a data science case study? 10 Most Interesting Data Science Case Studies with Examples So, without much ado, let's get started with data science business case studies ! The data is collected over 100 billion events every day. How do you prepare a data science case study?

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

Data Collection According to Forbes, data scientists spend about 80% of their time on data collection and cleaning, highlighting the importance of this step. Data collection is about gathering the raw data needed to train and evaluate the model.

Machine Learning 40

Machine Learning Project Building Raw Data 40

ProjectPro

JUNE 6, 2025

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

In addition, the jobs for healthcare data analysts are likely to grow by 13 percent between 2021 and 2031, resulting in higher demand for healthcare professionals. The global data analytics market was worth i$16.87 Health data analysts extract and analyze complex data easily understood by medical staff and doctors.

Healthcare 49

Healthcare Medical Electronics Hospitality 49

ProjectPro

JUNE 6, 2025

The increasing demand for certifications in big data is a direct result of the popularity of AWS services among big data experts and the growing requirement for skilled professionals capable of leveraging big data technology. In this blog, we will dive deep into the details of AWS Big Data Certification.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

The Need for Clustering Data Points In data analysis and machine learning , clustering is a common strategy. It entails grouping or clustering a set of data points according to their similarities or differences. Data analysis may become quicker and more effective as a result. PREVIOUS NEXT <

Machine Learning 49

Machine Learning Algorithm Datasets Data Mining 49

ProjectPro

JUNE 6, 2025

2) Cryptocurrency Analysis AI-powered agents are transforming cryptocurrency analysis by automating data collection, trend detection, and market predictions. Source Code: How to Build an LLM-Powered Data Analysis Agent? The Report Writer then synthesizes insights into a structured report.

Project 59

Project Building Banking Healthcare 59

ProjectPro

JUNE 6, 2025

In an era where data is abundant, and algorithms are aplenty, the MLops pipeline emerges as the unsung hero, transforming raw data into actionable insights and deploying models with precision. This blog is your key to mastering the vital skill of deploying MLOps pipelines in data science. and prepre.py

Building 40

Building Machine Learning Raw Data Data Collection 40

ProjectPro

JUNE 6, 2025

Nucleus Research has found that business intelligence with data visualization capabilities will offer a return on investment of $13.01 With how much expenditure is made and time spent on data collection and processing, getting the most out of data is naturally a well-in-demand skill. for every dollar spent.

Coding 67

Coding Project Machine Learning Datasets 67

ProjectPro

JUNE 6, 2025

To develop the predictive model, data science experts or analysts generate standard predictive algorithms and statistical models, train them using subsets of the data, and execute them against the entire data set. Data Mining- You cleanse your data sets through data mining or data cleaning.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Automation can accelerate all data management and data warehousing steps, including data collection, preparation, analysis, etc. Use the Anime dataset to build a data warehouse for data analysis. Each user can add anime to their completed list and give it a rating.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

The data engineer skill of building data warehousing solutions expects a data engineer to curate data and perform data analysis on that data from multiple sources to support the decision-making process. In such instances, raw data is available in the form of JSON documents, key-value pairs, etc.,

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

Knowledge Hut

JANUARY 18, 2024

It also helps organizations to maintain complex data processing systems with machine learning. To achieve this objective, companies need to group the following four major verticals of data science. These verticals include data engineering, data analysis, data modeling, and model deployment, also known as data monitoring.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

ProjectPro

JUNE 6, 2025

LangChain Custom AI Agents for Health Data Analysis This AI agent assists in healthcare diagnostics by analyzing blood glucose levels using Groq’s LLaMA 3 and RapidAPI’s Blood Glucose API. Implementation Steps: Use RapidAPI to fetch real-time glucose data. Deploy and test banking-related interactions.

Building 52

Building Banking SQL Deep Learning 52

ProjectPro

JUNE 6, 2025

Become a Job-Ready Data Engineer with Complete Project-Based Data Engineering Course ! Big data is often characterized by the seven V's: Volume , Variety , Velocity, Variability, Veracity, Visualization, and Value of data. specialist to learn big data. 2) Can you learn big data for free?

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Analysing unstructured data was impossible earlier, however with advancements in big data analytics –cognitive computing systems analyse and comprehend the content of unstructured data by reading e-books , reading tweets or watching videos. Big data analysis has become a common practice in politics.

Big Data 40

Big Data Retail Banking Pharmaceutical 40