Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. Web Development with MySQL When it comes to dynamic, responsive web development, few technologies come close to matching the power of JavaScript. So, Let's get started!

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Edureka

JULY 18, 2023

In the constantly changing world of technology, artificial intelligence has become a potent tool for transforming sectors all over the world. Advanced Authentication: By utilising biometric, voice, and facial recognition technology, AI can improve authentication procedures.

Banking 40

Banking Algorithm Media Machine Learning 40

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

SEPTEMBER 7, 2018

Enterprises prepare to avoid or tackle threats by monitoring employee and third-party communications such as e-mail, instant messaging, social media, and voice, as well as by analyzing log files and file attachments. Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

MAY 5, 2023

Additionally, through predictive analytics and smart home technology , AI can identify potential maintenance issues before they become critical, allowing property managers to address them proactively. So as far as the penetration of AI technologies into revenue management goes, a significant shift is happening.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps. AI-driven Sentiment Analyzer Social media is swinging with millions of user-generated posts and content. also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JULY 22, 2016

The powerful data lake architecture leverages analytics capabilities for big data processing and helps businesses address operational challenges which were difficult to be solved using conventional data warehousing technologies. Table of Contents Data Lake- A perfect place for Unstructured Data What is a Data Lake?

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

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. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JUNE 9, 2015

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 How Walmart is tracking its customers? Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MARCH 23, 2016

Since then, it is evolving continuously and changing the big data world. It has been 10 years since Hadoop first disrupted the Big Data world, but many are still unaware of how much this technology has changed the data analysis scene. Hadoop has also given birth to countless other innovations in the big data space.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

APRIL 14, 2015

Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. The real hero behind the success stories of online love is the big data analytics technology and infrastructure that help people find their perfect life partner based on their stated preferences and behavioural matching.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

ProjectPro

APRIL 17, 2015

“Any sufficiently advanced technology is indistinguishable from magic.”– Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MARCH 14, 2014

Organizations across the world are excited about big data and customer analytics not just because the data are big but the potential for companies using big data is huge. In 2015, big data has evolved beyond the hype. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MARCH 27, 2015

Big data analytics is new to sports but not a novel concept to businesses. The collection and analysis of huge amounts of unstructured data i.e. big data to optimize performance is transforming the society. Can this data be accrued and analyzed to make accurate predictions for a game that is known to be unpredictable?

Big Data 40

Big Data Data Analytics Hadoop Media 40

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

AUGUST 11, 2021

They store current and historical data in one place and are used to create analytical reports for workers throughout the enterprise." This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JUNE 6, 2015

How can business intelligence scale and analyse the growing data heap? Business Intelligence (BI) combines human knowledge, technologies like distributed computing, and Artificial Intelligence, and big data analytics to augment business decisions for driving enterprise’s success. This is implemented at Solocal.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

MAY 19, 2015

The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. Thus, professionals must learn Hadoop to ramp up on the big data technology as Hadoop is soon going to be identified as a must have skill by all big data companies.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JUNE 24, 2021

Data analytics projects for practice help one identify their strengths and weaknesses with various big data tools and technologies. Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JUNE 2, 2015

The General Services Administration has partnered with a Massachusetts based big data analytics company FirstFuel to save $13 million annually in the energy costs across 180 buildings. Business win online when they use hard-to-copy technology to deliver a superior customer experience through mining larger and larger datasets.”-

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

JULY 30, 2021

Companies need engineers that can help them transition over to Cloud Computing or senior engineers who can maintain and innovate on the already established Cloud Computing technology. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. Analysts in social media companies use R to identify potential customers through targeted online advertising.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40