Knowledge Hut

JANUARY 22, 2024

Welcome to the world of data science. In this age of information, data scientists have emerged as the architects of tomorrow, harnessing the power of data to drive decisions, solve complex problems, and push the boundaries of what's possible. Students learn to work with tools like Tableau, Excel, SQL etc.

Data Science 52

Data Science Certification Education Data Lake 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

SEPTEMBER 6, 2023

Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Consequently, we see a huge demand for big data professionals.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

SEPTEMBER 25, 2023

In comparison to another applicant who hasn't shown the capacity or desire to advance their talents, the hiring manager might regard your portfolio and application more favorably. Your ability to develop, protect, maintain, and design data analytics solutions will be put to the test in the exam.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

DECEMBER 7, 2021

Are you seeking a job as a data analyst? Your data analyst portfolio is an opportunity to demonstrate your ability to tell a story, which is a crucial data analyst skill. Data Analyst Portfolio Examples - What You Can Learn From Them? Wrapping Up. jpeg, PDF, PowerPoint, Word, and others).

Portfolio 52

Portfolio Building Data Mining Data Analysis 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

OCTOBER 3, 2016

Now, in the era of big data, Hadoop has inspired the growth of its ecosystem with powerful front ends and extensions like -Lens, Twill, Kylin, etc.Apache Hadoop ecosystem is growing rapidly. Source:[link] Have Your Cake And Eat It: Big Data Without Hadoop. The awareness of Big Data and the progress towards it has grown immensely.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

ProjectPro

JULY 13, 2015

The largest financial service provider in US-JP Morgan Chase generates huge amounts of big data about customers from credit card information and millions of transactions. 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

JULY 21, 2021

One such sub-domain of AI that is gradually making its mark in the tech world is Natural Language Processing (NLP). 15 NLP Projects Ideas to Practice Apart from the skills mentioned above, recruiters often ask applicants to showcase their Project portfolios. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

FEBRUARY 19, 2016

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

FEBRUARY 8, 2016

Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. Gaining the correct information, which produces knowledge, allows businesses to create a competitive edge, which is essential to companies successfully leveraging Big Data. Data Mining - Identifying correlated data.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

AUGUST 13, 2021

After identifying your facial features, the algorithms then use image processing techniques to the facial features zones of the image , which you see as funny pictures on your screen. The aim is to use NLP techniques on lengthy textual data and summarise its content with fewer words. that are widely used in the Data Science community.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JULY 15, 2021

Secure Text Transfer Application The project's goal is to securely send the textual information to preserve the information's privacy, confidentiality, and integrity. Many banking applications use secure data exchange apps and functions to share information using certain channels.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JULY 3, 2015

solutions with in-memory technology store data in the working memory instead of the hard drive making it easier for processing, evaluation and use. SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. .

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

OCTOBER 18, 2021

They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. Statistical modeling: Here, the student has to prepare a real-world model of the mathematical representation and the statistics uncertainties within the analyzing and prediction process.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. There would be a significant amount of data loss as the processing speed of legacy systems is limited. Today, the breed of consumers have changed significantly.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

JUNE 17, 2016

The commonalities that you find in the big data job descriptions should be your targeted keywords for your LinkedIn profile. Your contact information is a clear call to action for big data recruiters to interview you for the open position. you can upgrade to a premium LinkedIn account.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MAY 5, 2015

ProjectPro reviews will help students make well informed decisions before they enrol for the hadoop training. Omer Artificial Intelligence Researcher, Quora 'Most Viewed Writer in 'Data Mining' Dezyre Hadoop Training Review for the Batch May 10th, 2015 Karan is a good instructor, knowledgeable and very polite. Very informative!

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

APRIL 29, 2015

In the next 3 to 5 years, more than half of world’s data will be processing using Hadoop. This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. However, experts predict a major shortage of advanced analytics skills over the next few years.

Hadoop 40

Hadoop Certification IT Big Data 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses. The purpose of data engineering is to analyze data and make decisions easier. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. 4) Event Data Analysis NYC Open Data is free public data published by New York City agencies and partners.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JANUARY 18, 2024

and In my view, Data Science primarily focuses on engineering, processing, interpreting, and analyzing data to facilitate effective and informed decision-making. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

FEBRUARY 12, 2023

It is not new to humans, but the modalities used for data collection and processing have become easier with innovative tools that handle a large amount of data. Data science jobs salary in USA is the highest sought-after job in the country as compared to other countries.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

DECEMBER 22, 2016

The job role of a data analyst involves collecting data and analyzing it using various statistical techniques. The end goal of a data analyst is to provide organizations with reports that can contribute to faster and better decision making process. Data analysis begins with a question or an assumption.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. The data may be accessed to issue reports or to find any hidden patterns in the data.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

JANUARY 18, 2024

Kaggle Kaggle is a global community of data scientists who compete to solve challenging problems. There are different categories of Kaggle competition for data science, including machine learning, natural language processing, predictive modelling, and more. What methods will you use to analyze the data?

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

ProjectPro

SEPTEMBER 26, 2021

Transform unstructured data in the form in which the data can be analyzed Develop data retention policies Skills Required to Become a Big Data Engineer Big Data Engineer Degree - Educational Background/Qualifications Bachelor’s degree in Computer Science, Information Technology, Statistics, or a similar field is preferred at an entry level.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

SEPTEMBER 19, 2022

Analytics is concerned with the discovery, interpretation, and processing of data. However, data and Business Analysts have many tools to select, and determining the ideal option for a particular project can be difficult. Power BI can do real-time analysis by connecting directly to information sources. What Is Power BI?

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

MAY 23, 2015

The predictive analytics platform of Inkiru incorporates machine learning technologies to automatically enhance the accuracy of algorithms and can integrate with diverse external and internal data sources. How Walmart uses Big Data? Walmart has a broad big data ecosystem. Walmart tracks and targets every consumer individually.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Natural Language Processing (NLP) 5. 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.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MARCH 12, 2016

With more than- -165 million active users as of August 2015; -10+ million logins every day; -13 million transactions; - Processing more than 1.1 PB of data; - $250 billion worth of payments processed every year; -12.5 PB of data; - $250 billion worth of payments processed every year; -12.5 How PayPal uses Hadoop?

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

AUGUST 5, 2021

If you’d like to build models that can converse with people and learn human language, you can work in the field of NLP (Natural Language Processing). Since there can be hundreds of applications for a single position, this process has been automated in several ways — the most common is keyword matching.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

FEBRUARY 1, 2022

Data science use cases can be found in almost every industry out there e-commerce, music streaming, stock market,etc. Why are Data scientists tested on case study-based interview questions? A case study evaluation allows the interviewer to understand your thought process. you set up to source your data.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

MARCH 15, 2016

That way every server, stores a fragment of the entire data set and all such fragments are replicated on more than one server to achieve fault tolerance. Hadoop MapReduce MapReduce is a distributed data processing framework. Apache Hadoop provides solution to the problem caused by large volume of complex data.

Hadoop 40

Hadoop Retail Healthcare Banking 40