Knowledge Hut

JANUARY 19, 2024

For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Big Data Technologies Handling large-scale datasets is a challenge addressed by Big Data Technologies. Introduces technologies like Hadoop and Spark for distributed computing.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

OCTOBER 5, 2023

Specifically, the AWS Big Data Certification is for IT experts who want to gain experience and expertise working on AWS services and have 5 years of experience with Big Data technologies. AWS Big Data specialists should thoroughly understand programming languages such as C and C++, technological applications, and cloud environments.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Therefore, no human intervention is required to access the resources. The resources and the information can be accessed from anywhere. What is a Data Science Platform?

Data Science 52

Data Science Google Cloud AWS Programming Language 52

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. One major drawback with R programming language is that all objects are loaded into the main memory of a single machine.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Knowledge Hut

FEBRUARY 11, 2023

Data analysts are in demand due to the need to identify and analyze data breaches, which allows access to information related to health, personal affairs, financial matters, etc. An additional advantage of Tableau is its ability to interact with tools and platforms, such as R programming. 

Retail 52

Retail Healthcare Education Data Mining 52

ProjectPro

JUNE 17, 2015

To maintain a competitive edge in the market, organizations, strives to maintain IT staff that is well-honed with the latest tools and technologies so that they business does not suffer from skills gap. The top hiring technology trends for 2015 consists of boom for big data, organizations embracing cloud computing and need for IT security.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

SEPTEMBER 6, 2021

Deep learning solutions using Python or R programming language can predict fraudulent behavior. Natural Language Processing is one of the technologies to analyze email content and determine the possibility of phishing attempts. Chatbots using machine learning and AI technologies can lead to higher customer experience levels.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. You can set up the analysis to quickly access reliable financial data.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

FEBRUARY 6, 2023

Learn about the significance of R programming language wirh these data science projects in R with source code. Modern technology now allows its users to analyze customer response with the help of machine learning and NLP techniques. This project will guide you how to implement various text preprocessing methods.

Algorithm 52

Algorithm Programming Language Python Machine Learning 52

ProjectPro

SEPTEMBER 26, 2021

Several industries across the globe are using Big Data tools and technology in their processes and operations. Owing to the rise in the usage of Big Data technologies, the market is witnessing a sharp increase in jobs in Big Data. The adoption of cloud databases and technologies has further led to the expansion in data volumes.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 18, 2021

Airlines employ the technology to forecast rates of competitors and adjust their pricing strategies accordingly. You have three options to get access to this information: by downloading daily reports in the CSV format, saved on your secure FTP server or Amazon S3 bucket; via the Aggregation API. Factors impacting flight prices.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 59

ProjectPro

AUGUST 16, 2021

Complete Solution: Credit Card Fraud Detection Data Science Project Data Mining Project on Wine Quality Dataset Dataset: For this project, you can use the R programming language. It would be easy to use the R programing language for this project and visualise the datasets through ggplot, scatter plots, box plots, and whisker plots.

Data Mining 40

Data Mining Coding Project Datasets 40

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. For people who love R programming - this big data conference is definitely worth attending.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

NOVEMBER 30, 2021

Up-to-date knowledge of new technologies and methodologies. You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. Excellent verbal and written communication. Answer: NO!)

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

MARCH 7, 2016

In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles. Read below to find out which big data certification fits your needs and works best for your career goals.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

NOVEMBER 10, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Educational Requirements for a Hadoop Developer Hadoop is a technology that needs to be mastered on its own. 10.10% of Hadoop developers are graduates or post graduates from Information Technology background.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

JULY 8, 2015

Technologies change, upgrade and become obsolete with time. Technology has the characteristics of ‘Time’ – it waits for no one. One of the hardest challenges for IT professionals is to keep themselves updated with the latest software technologies that they are asked to implement in at a moment’s notice.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

JANUARY 20, 2022

These two sectors have spurred technological advancements and a rising career path. By employing machine learning technology, Pinterest collects and analyzes existing content to present relevant information to the users. Twitter’s personalized timeline is another exciting example of machine learning technology.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. The salary of a data scientist usually increases in the first few years.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

Hadoop applications have a wide range of technologies that provide a great advantage in solving complex business problems. HBase storage works well for random read/write access whereas HDFS is optimized for sequential access. ii) Usage pattern like accessing 5 columns out of 50 columns vs accessing most of the columns.

Hadoop 40

Hadoop Big Data Metadata Java 40