Cloudera

DECEMBER 22, 2017

This mountain of data holds a gold rush of opportunities for marketers to truly engage with their consumers, just as long as they can effectively mine through all that data and make sense of what really matters. To tackle this, it is worth considering the frequency of data being collected. Keeping it fresh.

Data Mining 40

Data Mining Data Collection Data Integration Data 40

Knowledge Hut

DECEMBER 22, 2023

Generally, a data analyst performs the following responsibilities: Data collection from various sources like primary sources and secondary sources and arranging the data in a proper sequence. Cleaning and processing the data as per requirement. Preparing a data analysis report.

Data Analysis 52

Data Analysis Data Analytics Data Mining Data Science 52

Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Transformation: Once the data has been successfully extracted, it enters the refinement phase.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

FEBRUARY 12, 2023

Data science is the study of data created by various human activities, such as business and research, to extract meaningful insights. 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 52

Data Science Computer Science Portfolio Certification 52

Knowledge Hut

FEBRUARY 15, 2023

What is Data Analysis? Data analysis, by definition, refers to collecting data and transforming it into beneficial forms. Though data analysis seems simple and can be defined in one line, it involves several steps and technical processes. Tableau Tableau is a leading data analytics tool.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

ProjectPro

JULY 3, 2015

.”- Henry Morris, senior VP with IDC SAP is considering Apache Hadoop as large scale data storage container for the Internet of Things (IoT) deployments and all other application deployments where data collection and processing requirements are distributed geographically.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MAY 23, 2015

With more than 245 million customers visiting 10,900 stores and with 10 active websites across the globe, Walmart is definitely a name to reckon with in the retail sector. Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

SEPTEMBER 25, 2023

Is Data Analyst Certification worth it? In my opinion, Data analyst certification is definitely worth it. In order to properly execute Data Analysis and come up with the optimal solution to a problem, you must have a solid background in mathematics and statistics. This is when soft skills come into play significantly.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

U-Next

AUGUST 3, 2022

Although the term “Data Science” might imply various things to various individuals, it is essentially the use of data to provide answers to inquiries. This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline!

Data Science 52

Data Science Retail Computer Science Entertainment 52

AltexSoft

MAY 12, 2023

By understanding these aspects comprehensively, you can harness the true potential of unstructured data and transform it into a strategic asset. What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

AUGUST 16, 2021

A typical machine learning project involves data collection, data cleaning, data transformation, feature extraction, model evaluation approaches to find the best model fitting and hyper tuning parameters for efficiency.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MAY 31, 2021

Although planning and procedures can appear tedious, they are a crucial step to launching your data initiative! A definite purpose of what you want to do with data must be identified, such as a specific question to be answered, a data product to be built, etc., to provide motivation, direction, and purpose.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75