Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommender System Projects Have you ever seen movies or web series on online streaming platforms? It contains all the attributes you need to build your stock price prediction system.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MARCH 17, 2021

Machine learning makes use of a set of learning algorithms (supervised or unsupervised learning process) to analyze the data, interpret it, learn from it, and make the best possible business decisions based on the learnings. But how will the ML algorithm know which one is Apple and which one is Orange? What is Deep Learning?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Knowledge Hut

DECEMBER 27, 2023

Portfolio Manager A Portfolio Manager is a person or group of people who invest in a mutual or exchange trade. The Portfolio Manager comes with an investment strategy and manages daily trading. A Portfolio manager is a very important factor to consider when investing funds.

Banking 52

Banking Recruitment Finance Portfolio 52

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

ProjectPro

JULY 3, 2015

What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

SEPTEMBER 14, 2016

The better a hadoop developer knows the data, the better they know what kind of results are possible with that amount of data. Concisely, a hadoop developer plays with the data, transforms it, decodes it and ensure that it is not destroyed. Managing Hadoop jobs using scheduler. Reviewing and managing hadoop log files.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Databand.ai

DECEMBER 13, 2022

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

APRIL 17, 2015

Datafication is not a new trend but the speed with which data is being generated in real time operational analytics systems is breath-taking. This is likely to bring about novel trends in big data analytics. Datafication of organizations will soon impact our lives in this fast changing world by formulating a data driven society.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. 81% of the organizations say that Big Data is a top 5 IT priority. ” Interesting?

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JUNE 18, 2015

Big data analytics in combination with crowdsourcing can revolutionize business processes to add value even for enterprises with budget constraints. Thus, companies might not be willing hire employees for data management tasks paving way for crowdsourcing in big data ventures. What’s your opinion?

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

APRIL 27, 2015

Big Data startups are banking upon analytics to disrupt the market in the foresight based approach. Big data startups are leveraging recommendation systems by making sense of big data-predicting user intentions and rendering services and products people are looking for before they even know that they need them.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

Knowledge Hut

APRIL 23, 2024

Drug Discovery and Development: By analyzing enormous volumes of biological, chemical, and clinical data, big data helps to speed up the drug discovery process, resulting in the identification of prospective therapeutic targets and more effective clinical trials.

Big Data 52

Big Data Retail Recruitment Transportation 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. These networks can assimilate intricate patterns and representations from vast amounts of data.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Having done these the capability to manage these systems effectively helps achieve business success. May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Retail 40

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.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

OCTOBER 26, 2022

Artificial Intelligence refers to machines or systems replicating human intelligence and performing tasks like humans. It mainly focuses on building systems that perform based on the input data without requiring numerous human interventions such as coding, etc. Portfolio Development . Algorithmic Trading .

Finance 40

Finance Portfolio Banking Algorithm 40

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

Knowledge Hut

FEBRUARY 7, 2023

A Data Science certificate that trains you on these platforms are a great way to ensure better productivity. These platforms offer collaborative environments, helping organizations to incorporate data-driven decisions into operational and customer-friendly systems to enhance business outcomes. Top Data Science Platforms 1.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

AltexSoft

JUNE 7, 2021

You don’t need to archive or clean data before loading. The system automatically replicates information to prevent data loss in the case of a node failure. It doesn’t belong to the master-slave paradigm, being responsible for loading data into the cluster, describing how the data must be processed, and retrieving the output.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

JANUARY 24, 2023

Additionally, columnar storage allows BigQuery to compress data more effectively, which helps to reduce storage costs. BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop runs on clusters of commodity servers.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JANUARY 31, 2023

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.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 14, 2015

graduate devised an algorithm to hack OkCupid by optimally using the data that was already there. McKinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs. Perfect with similar tastes who could become his soul mate.

Big Data 52

Big Data Data Analysis Algorithm MongoDB 52

ProjectPro

FEBRUARY 8, 2017

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

MAY 23, 2015

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 petabytes of unstructured data from 1 million customers every hour. How Walmart uses Big Data?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

NOVEMBER 30, 2021

The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data. When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JUNE 24, 2021

With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. 10+ Real-Time Azure Project Ideas for Beginners to Practice Access Job Recommendation System Project with Source Code Why Should Students Work on Big Data Analytics Projects ?

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 11, 2016

How will you scale a system to handle huge amounts of unstructured data? How will you design the Hadoop architecture (explaining how you will store the data) that can help you return top 15 queries made in the last 12 hours. Assume that you have more than one system available and the problem can be distributed.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

AUGUST 11, 2016

Data visualization is made simple with R since it provides several inbuilt plotting commands that help create simple and complex graphs. The package ggplot2 allows users to add, remove or alter components to a plot and provides a coherent system for building graphs. Remote computers have to be maintained by the users.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Knowledge Hut

JANUARY 11, 2024

Data science is the field of study that deals with a huge volume of data using modern technologically driven tools and techniques to find some sort of pattern and derive meaningful information out of it that eventually helps in business and financial decisions. This work is done by financial data scientists.

Finance 93

Finance Data Science Programming Language Machine Learning 93

ProjectPro

MARCH 23, 2015

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Hadoop 2.2

Hadoop 40

Hadoop Big Data Architecture Metadata 40