ProjectPro

JULY 15, 2021

One of the critical areas you must consider is that the application will work and respond based on the data provided. You must maintain and improve the data quality at all times. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

No doubt companies are investing in big data and as a career, it has huge potential. Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. What Is a Big Data Company? Amazon - Amazon's cloud-based platform is well-known.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 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. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

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. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? Data Lake vs Data Warehouse - The Introduction What is a Data warehouse? According to Wikipedia , a Data Warehouse is defined as "a system used for reporting and data analysis.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. What is Big Data according to IBM?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JANUARY 18, 2024

Data Science initiatives from an operational standpoint help organizations optimize various aspects of their business, such as supply chain management , inventory segregation, and management, demand forecasting, etc. A data analyst would be a professional who will be able to accomplish all the tasks mentioned in the process of data analysis.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing.

Retail 52

Retail Data Science Computer Science Entertainment 52

ProjectPro

JUNE 24, 2021

Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 1) Market Basket Analysis Market Basket Analysis is essentially a data mining technique to better understand customers and correspondingly increase sales.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

U-Next

SEPTEMBER 23, 2022

Traditional data processing technologies have presented numerous obstacles in analyzing and researching such massive amounts of data. To address these issues, Big Data technologies such as Hadoop were established. These Big Data tools aided in the realization of Big Data applications. . Education Sector .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

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

Databand.ai

DECEMBER 20, 2022

Follow Cassie on LinkedIn 3) Julia Silge Software Engineer at Posit PBC Julia is a tool builder, author, international keynote speaker, and real-world practitioner focusing on data analysis, machine learning, and MLOps. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

MARCH 7, 2024

Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits. Big data analytics tools and technology provide high performance in predictive analytics, data mining, text mining, forecasting data, and optimization. It is a part of the Google Drive suite of products.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52