Edureka

APRIL 17, 2023

Supply Chain Optimization: Supply chain optimization involves using data analytics to optimize the supply chain process, reducing costs and improving efficiency. This type of analysis is particularly relevant in industries such as manufacturing and logistics.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

FEBRUARY 15, 2023

It is because they are responsible for a myriad range of elements like data mining and analysis, making insightful predictions, planning, and arriving at result forecasts. IT business analysts deal with automation and other technology-based aspects of business processes.

Business Analyst 52

Business Analyst Recruitment Pharmaceutical Finance 52

Knowledge Hut

JULY 3, 2023

Real-time data ingestion often deals with various systems logs from various sectors like manufacturing, finance, cybersecurity, and e-commerce. Operational Analytics: Real-Time data ingestion strengthens attributes of monitoring and analyzing operational data in real-time.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

U-Next

SEPTEMBER 21, 2022

Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining. You will also understand the Difference between Data Warehousing and Data Mining in a detailed manner. . What Is Data Warehousing? .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

JUNE 30, 2016

Indian Big Data Analytics Market worth 2+ Billion By 2017-2018, India alone will be a major shareholder of the overall big data analytics market worth $2.3 ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

DECEMBER 17, 2021

You must try to use the advanced technology of machine learning and estimate the short-term returns for 14 popular cryptocurrencies. So, if this sounds exciting to you, we recommend you check out the official link to know more about this data science challenge. Explore More Data Science and Machine Learning Projects for Practice.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. is $50,000 per year.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JANUARY 18, 2024

But here's the fascinating part - it's estimated that by 2025, a whopping 463 exabytes of data will be created globally every single day. To put that into perspective, that's equivalent to 212,765,957 DVDs worth of data! The data analytics future is brimming with exciting possibilities. Are Data Analysts in Demand?

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

SEPTEMBER 6, 2023

Master of Data Science Certifications - Liverpool John Moores University Master of Data Science at Liverpool John Moores University aims at deriving unique inferences with the help of advanced statistics from large quantities of data. The curriculum largely caters to industry needs, tools and the technologies used today.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

OCTOBER 26, 2021

Its application spreads from transportation to healthcare systems to manufacturing and in various other fields. It helps in implementing predictive analytics with mathematics to make decisions based on granular data. It has database-agnostic support with open-source Breed technology to train machines based on data insights.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Knowledge Hut

DECEMBER 27, 2023

For example, a computer manufacturing company can produce models or bring more innovations to products that are in high demand. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. Banking, healthcare and education are the sectors apart from others that take advantage of big data. Cons: Occupies huge RAM.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Data Scientists use ML algorithms to make predictions on the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

JULY 25, 2022

Web Designing: This course enables students to create amazing web interfaces with client-side scripting technologies such as HTML, CSS, etc. . Artificial Intelligence: The program will cover major Al technologies. The course will help students to know more about the Information Technology Act. . Digital Hardware Modeling.

Computer Science 52

Computer Science Software Engineer Software Engineering Java 52

Knowledge Hut

JANUARY 18, 2024

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. So, if you're curious about the future of technology and want to have your voice heard, join us on Bitgrit.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

U-Next

SEPTEMBER 9, 2022

Reduce manufacturing costs . Staff can adapt to changes caused by technological advancements with the help of Business Analysts. . The profession is continuously developing and growing with advancements in technology. This field has grown in recent years due to rapid digital transformation and reliance on data. .

Business Analyst 40

Business Analyst Data Mining Programming Language Manufacturing 40

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

U-Next

AUGUST 24, 2022

While Machine Learning is sometimes viewed as monolithic, it has several subs, including computer vision, Machine Learning, and the trying to cut reinforcement learning technology. Without question, cutting-edge technology like reinforcement learning has the power to change the way we live. Conclusion.

Machine Learning 40

Machine Learning Algorithm Manufacturing Data Collection 40

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

DECEMBER 26, 2023

You can also gain knowledge and certification on big data in detail through Big Data certification online courses. Top Big Data Books for Beginners 1. Big Data: Concepts, Technology and Architecture For data scientists, engineers, and database managers, Big Data is the best book to learn big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives. Hadoop is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

ProjectPro

JULY 30, 2021

With the release of a variety of latest smartphones, most of us today have the Face Recognition technology in the palms of our hands, protecting data and other sensitive information. Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

JULY 7, 2021

With the technological advancements and the increase in processing power over the last few years, deep learning has gone mainstream. Deep learning has transformed industries like agriculture, retail, and manufacturing. Cyber-Attack Prediction The advancement in technology has brought with it an increased risk of cyber-attacks.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40