ProjectPro

JUNE 6, 2025

Apache Hadoop Hadoop is an open-source framework that helps create programming models for massive data volumes across multiple clusters of machines. Hadoop helps data scientists in data exploration and storage by identifying the complexities in the data.

Data Science 40

Data Science Hadoop Machine Learning Unstructured Data 40

ProjectPro

JUNE 6, 2025

In the big data industry, Hadoop has emerged as a popular framework for processing and analyzing large datasets, with its ability to handle massive amounts of structured and unstructured data. Table of Contents Why work on Apache Hadoop Projects? FAQs Why work on Apache Hadoop Projects?

Hadoop 40

Hadoop Project Big Data Datasets 40

ProjectPro

JUNE 6, 2025

Here are some exciting project ideas and data analysis examples to help you apply theoretical knowledge and create impactful projects. 1) Market Basket Analysis Market Basket Analysis is a data mining technique that data scientists use to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Datasets 40

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. But, in the majority of cases, Hadoop is the best fit as Spark’s data storage layer.

Hadoop 96

Hadoop Scala Java Datasets 96

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. You can learn in detail about Hadoop tools and technologies through a Big Data and Hadoop training online course.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Banking Healthcare 40

ProjectPro

MARCH 14, 2014

Every department of an organization including marketing, finance and HR are now getting direct access to their own data. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. In 2015, big data has evolved beyond the hype.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

JANUARY 18, 2024

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

MARCH 7, 2024

Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits. Big data analytics tools and technology provide high performance in predictive analytics, data mining, text mining, forecasting data, and optimization. What are the 4 different kinds of Big Data analytics?

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

ProjectPro

MARCH 12, 2016

It also has online data - like how many people looked at a product, which website they visited, etc. but transactional data remains the strongest pointer in predicting customer behaviour at PayPal. How PayPal uses Hadoop? Now, PayPal processes everything just through Hadoop and HBase - regardless of the data format.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

AUGUST 16, 2024

Being familiar with the basics of the language is enough to get a job in Data Science as long as you are comfortable in writing efficient code in any language. Skills in Python Python is one of the highly required and one of the most popular programming languages among Data Scientists. In such a scenario, Hadoop comes to the rescue.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Silectis

JANUARY 3, 2021

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Goal To extract and transform data from its raw form into a structured format for analysis.

Database-centric 52

Database-centric ETL Tools Data Mining Data Cleanse 52

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Listed below are the top and the most popular tools for big data analytics : 1.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 13, 2023

Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Next-generation artificial intelligence and significant advancements in data mining and predictive analytics tools are driving the continued rapid expansion of big data software.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Knowledge Hut

JUNE 16, 2023

You can enroll in Data Science courses to enhance and learn all the necessary technical skills needed for data analyst. Roles and Responsibilities of a Data Analyst Data mining: Data analysts gather information from a variety of primary or secondary sources.

Programming Language 52

Programming Language Cloud Computing Data Analytics Data Preparation 52

Knowledge Hut

JANUARY 19, 2024

For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data. Consolidating data for a comprehensive view. Flexibility in storing and analyzing raw data. Data Mining Data mining is the treasure hunt of data science.

Data Science 52

Data Science Machine Learning Certification Algorithm 52

Knowledge Hut

NOVEMBER 28, 2023

As a result, most companies are transforming into data-driven organizations harnessing the power of big data. Here Data Science becomes relevant as it deals with converting unstructured and messy data into structured data sets for actionable business insights.

Data Architect 52

Data Architect Data Science Certification Big Data 52

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

ProjectPro

JANUARY 19, 2022

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 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

JUNE 6, 2025

FAQs on ETL Interview Questions Top 50 ETL Interview Questions and Answers Recruiters in an ETL interview often ask questions on a variety of topics including ETL Testing, data integration , SQL, data quality, data loading, and performance. Data processing ETL loads data into the staging server and then to the target system.

ETL Tools 40

ETL Tools Database-centric Data Warehouse ETL System 40

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Understand the importance of Qubole in powering up Hadoop and Notebooks.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 25, 2022

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MAY 31, 2021

The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5. Raw page data counts from Wikipedia can be collected and processed via Hadoop.

Big Data 52

Big Data Coding Project Hadoop 52