ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

NOVEMBER 28, 2023

Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

U-Next

SEPTEMBER 17, 2022

With the passage of the 1990s and the introduction of data mining , the need for a common methodology to integrate lessons learned intensified. Planning a data mining project can be structured using the CRISP-DM model and methodology. Data Understanding . The next phase is Data Understanding.

Data Mining 40

Data Mining Data Preparation Raw Data Data Science 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JANUARY 22, 2024

Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems. These systems, in turn, generate insights that analysts and business users can translate into tangible business value. Want to learn more about Data Science in FinTech?

Data Science 52

Data Science Banking Big Data Insurance 52

Knowledge Hut

JANUARY 11, 2024

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Retail 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. As you explore advanced data science topics, you discover the magic behind automating predictions and uncovering patterns in complex datasets. Paving the way for creating intelligent systems.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

U-Next

SEPTEMBER 23, 2022

A business analyst helps and facilitates communication between stakeholders and the project team in addition to introducing, managing, and making important changes to the organization’s business model. . Their work aids in improving comprehension of project requirements. Types of Business and Data Analytics .

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

FEBRUARY 27, 2023

Data Engineers indulge in the whole data process, from data management to analysis. Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

JUNE 9, 2021

Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. Data Science involves applying statistical techniques to raw data, just like data analysts, with the additional goal of building business solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 16, 2023

Finding patterns, trends, and insights, entails cleaning and translating raw data into a format that can be easily analyzed. You can enroll in Data Science courses to enhance and learn all the necessary technical skills needed for data analyst. They then arrange the data in a suitable format that is simple to understand.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

FEBRUARY 15, 2023

Business analysts operate more on analyzing business designs, processes, and systems and suggest actionable improvements. In other terms, a business analyst can bridge the gap between customers and business owners by simply analyzing data sets. Business analysts must also ensure the accuracy of these data to avoid errors.

Business Analyst 52

Business Analyst Recruitment Pharmaceutical Finance 52

ProjectPro

FEBRUARY 8, 2016

Upskill yourself for your dream job with industry-level big data projects with source code Dr. Michael Wu, chief scientist of San Francisco-based Lithium Technologies, describes descriptive analytics as -“The simplest class of analytics, one that allows you to condense big data into smaller, more useful nuggets of information.”

Data Mining 56

Data Mining Big Data Medical Healthcare 56

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

U-Next

MARCH 7, 2023

ntroduction Data Analytics is an extremely important field in today’s business world, and it will only become more so as time goes on. By 2023, Data Analytics is projected to be worth USD 240.56 Taking data from sources and storing or processing it is known as data extraction. What is data modeling?

Data Mining 96

Data Mining Scala Government Data Governance 96

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JANUARY 19, 2024

Only expert professionals with a thorough understanding of business intelligence tools can do this job by creating meaningful reports from the raw data sets. Key takeaways of BI are: It parses raw data and turns it into meaningful chunks of information, using which the managers can make better growth decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Data Warehouse 52

Knowledge Hut

DECEMBER 26, 2023

Business intelligence (BI) is the collective name for a set of processes, systems, and technologies that turn raw data into knowledge that can be used to operate enterprises profitably. It is a group of resources and services for turning data into usable knowledge and information. What is Business Intelligence (BI)?

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

FEBRUARY 7, 2023

To get started, the data science bootcamp duration provides the focused coaching required for a data science track. There are three popular programming languages used in data science. These are Python, R, and SAS (Statistical Analysis System). California (USA). How do you go about doing that?

Data Science 52

Data Science Datasets SQL Data Mining 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

AUGUST 24, 2021

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. A candidate's evaluation for data engineering jobs begins from the resume.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Depending upon your use case and criteria relevant data needs to be extracted and transformed.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JANUARY 18, 2024

Artificial Intelligence, at its core, is a branch of Computer Science that aims to replicate or simulate human intelligence in machines and systems. These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 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

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Data Cleaning: To improve the data quality and filter the noisy, inaccurate, and irrelevant data for analysis, data cleaning is a key skill needed for all analytics job roles.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

U-Next

SEPTEMBER 28, 2022

Generally, the data needed to perform HR Analytics originates from the existing HR systems. Furthermore, innovative data-collection technologies, such as cloud-based systems, can generate the data. The data should be simple to get and integrate into a reporting system. How Do They work?

Recruitment 52

Recruitment Algorithm Utilities Machine Learning 52

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

U-Next

AUGUST 3, 2022

Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? Qualifications needed to become a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

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. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

SEPTEMBER 23, 2022

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution. System of Grading. Prediction of a Career.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

AltexSoft

MAY 12, 2023

Generated by various systems or applications, log files usually contain unstructured text data that can provide insights into system performance, security, and user behavior. Sensor data. A fixed schema means the structure and organization of the data are predetermined and consistent. Scalability.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

Hadoop 40

Hadoop Big Data Data Mining Retail 40