Cloudera

SEPTEMBER 7, 2018

This could be in the form of reputational damage or unfavorable regulatory consequences in case of compromised customer data, for example. Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated.

Machine Learning 50

Machine Learning Unstructured Data Portfolio Relational Database 50

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. Similarly, you can pull information from social media.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

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

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 Groninger Museum deploys beacons to share interactive media with the visitors to the Museum.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. General Electric Co announced its next venture to spend close to $1.5

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

MARCH 17, 2021

Deep learning models usually perform Classification tasks directly from sound, text, or images (unstructured data). Apart from the type of data you are working with, the amount of data also plays a vital role in deciding whether to use machine learning or deep learning. Build a Job-Winning Data Science Portfolio.

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

ProjectPro

JUNE 6, 2015

“Solocal is a company that Yellow Media had always admired in terms of their ability to grow their online audiences.”-said But now Solocal is looking to improve the maturity of Data Architecture in the company. Solocal has completely introduced a new BI architecture that deals with the 3 Vs of Big data.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

APRIL 17, 2015

Latest Trends in Big Data Analytics Hadoop, NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis. Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 20, 2015

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. .”-said The vacation time is not tracked at Palantir and employees have the flexibility to just take what they need.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Banking and Financial Services Fraud Detection and Prevention: By examining vast amounts of transaction data and looking for patterns and anomalies suggestive of possible fraud, big data analytics assists banks and financial organizations in finding fraudulent activity.

Big Data 52

Big Data Retail Recruitment Transportation 52

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. When it comes to processing massive amounts of data, scaling of traditional RDBMS's proves extremely expensive.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Big Data 40

Big Data Hadoop Banking Retail 40

Knowledge Hut

MARCH 19, 2024

RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases). It is the perfect fit for complex daily database requirements that are OLTP/transactional.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. Its user-friendliness and security are two of its main selling points.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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?

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

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. To gain competitive advantage, organizations have to make the best use of the unstructured data collected for profitable business decision making. What is Big Data according to EMC?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

AltexSoft

MAY 5, 2023

Revenue management teams can anticipate future demand more accurately, and therefore predict the optimal pricing model for their entire portfolio — across all channels, in real-time.” They connect to such data sources as social media posts, news articles, customer reviews, and property images.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Typical uses are labelling unstructured data into formatted topics.

Machine Learning 40

Machine Learning Coding Project Deep 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

MARCH 15, 2016

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. Check Out Apache Hive Real Time Projects to Build Your Portfolio How to use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

AUGUST 11, 2021

Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored. HDFS is a cost-effective solution for the storage layer since it supports storage and querying of both structured and unstructured data. Changes in a data warehouse may require rework and also be very time-consuming.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

AUGUST 26, 2015

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski. Let us know in comments below!

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 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. IBM uses Social Media in particular Twitter for spreading the word about their creative and interesting predictions.

Big Data 40

Big Data Data Analytics Hadoop Media 40

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 14, 2015

The unpredictability of human behavior has made big data analytics the key to finding Mr. or Mrs. Right through online dating sites or apps because big data never lies.Online Dating data is collected from social media platforms, credit rating agencies, history of online shopping websites and various online behaviors like media consumption.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

ProjectPro

AUGUST 11, 2016

Analysts in social media companies use R to identify potential customers through targeted online advertising. Developers in social media companies use R to perform behavior and sentiment analysis to generate recommendation engines and keep customers engaged. It is said to be one of the most versatile data visualization packages.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

JUNE 24, 2021

Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools. It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job. Topic modelling can also be used to classify large datasets of emails.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JULY 30, 2021

They are used ideally for media transcoding, gaming servers, ad-server engines. Blob storage provides storing of unstructured data. It uses HTTP/HTTPS to access data from anywhere over the internet. Use cases are in-memory caches and open-source databases. Virtual machine Role - It is used for managing virtual machines.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JANUARY 11, 2024

Data Science can be described as a domain that applies advanced analytics, statistics and scientific principle for extracting valuable information and deriving valuable conclusions from structured or unstructured data. Terms like Machine Learning and Artificial Intelligence are often used in data science.

Finance 93

Finance Data Science Programming Language Machine Learning 93

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