Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

MARCH 7, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades.

AWS 52

AWS Data Management ETL Tools Management 52

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. The structured data can be utilized for various tasks, including applicant tracking, hiring, and talent management.

Project 96

Project Healthcare Deep Learning Transportation 96

Cloudera

OCTOBER 28, 2021

For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Retail – location (and associated risk), type of equipment used, inventory sensors, supply chain data, hours of operation.

Insurance 96

Insurance Transportation Unstructured Data Manufacturing 96

Snowflake

APRIL 20, 2023

The new features also enable customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns, which prove to be especially useful for cybersecurity vendors who perform needle-in-a-haystack-type queries. Daltix Daltix provides quality retail data you can trust.

Medical 57

Medical Retail Python Pharmaceutical 57

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. From retail giants tracking customer behavior to healthcare organizations optimizing patient care, the possibilities are endless. In this blog, we will talk about the future of database management.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

APRIL 23, 2024

Understanding the variety of data involves managing and integrating different data formats, structures, and sources to ensure comprehensive analysis and extraction of valuable insights. Example of Data Variety An instance of data variety within the four Vs of big data is exemplified by customer data in the retail industry.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

MARCH 27, 2024

Factors Considered for Selecting the Best Big Data Analytics Tools There are a few factors to consider when selecting the best big data analytics tool for your organization. The first is the type of data you have, which will determine the tool you need.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . The Singapore Tourism Board developed an analytics platform which collects and analyzes tourist data.

Medical 81

Medical Government Hospitality Electronics 81

U-Next

SEPTEMBER 21, 2022

Not all of this data is erroneous. The majority of this unstructured, meaningless data can be well converted into a more organized (tabular/more comprehensible) format. In simpler terms, good data use implies thriving businesses. . Some data mining examples in the current industry are: . Retail chains .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

Edureka

AUGUST 2, 2023

Data integration and transformation: Before analysis, data must frequently be translated into a standard format. Data processing analysts harmonise many data sources for integration into a single data repository by converting the data into a standardised structure.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Knowledge Hut

DECEMBER 6, 2023

If you are fascinated by massive data sets and numbers, this is the best career option for you. There are many online Data Science courses available, from which you can find the best course that excites you. Salary Blockchain developers can make up to 45 LPA, making it one of the highest-paying careers in India.

Programming Language 52

Programming Language Data Cleanse Computer Science Education 52

Rockset

JANUARY 28, 2020

The company makes use of computer vision to remove the need for checkout lines of any sort in physical retail locations. As is common with fast-growing markets, Standard’s data and analytics requirements are constantly evolving. Of particular importance in computer-vision-aided checkout is the accuracy of the transactions.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

Cloudera

JULY 26, 2021

Among the plethora of industry-specific and technology themes contributing towards that growth agenda, there are some common business and technology forces influencing data product development: An increasing focus on data collaboration partnerships between enterprises to enable data sharing and value exchange across an industry value chain.

Generalist 117

Generalist Telecommunication Healthcare Data 117

Databand.ai

NOVEMBER 4, 2022

Specifically, Databand collects metadata from all key solutions in the modern data stack, builds a historical baseline based on common data pipeline behavior, alerts on anomalies and rules based on deviations, and resolves through triage by creating smart communication workflows.

Data 52

Data Data Pipeline Retail Metadata 52

Edureka

JUNE 1, 2023

It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Precisely

OCTOBER 5, 2023

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination?

Raw Data 67

Raw Data Insurance Datasets Telecommunication 67

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Retail analytics for dynamic pricing of products.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Ascend.io

NOVEMBER 14, 2023

While CDOs oversee the foundational data infrastructure and tools to access, analyze, and derive business insights from data, the CAIO leads the implementation of platforms and applications that structure data to fuel the new AI capabilities.

Pipeline-centric 52

Pipeline-centric Government Data Pipeline Recruitment 52

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need. Data Warehouses do not retain all data whereas Data Lakes do.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

Rockset

MAY 21, 2021

Retail brands that have adopted personalization increase customer satisfaction 20% and conversion rates 10-15% ( McKinsey- Personalizing the Customer Experience ). The success of personalization in the retail industry is rippling through larger consumer and B2B marketing, leading to more engaging and customized user experiences.

Retail 40

Retail Algorithm Big Data Data Analytics 40

Knowledge Hut

NOVEMBER 17, 2023

In 2006, Amazon launched AWS to handle its online retail operations. It is an affordable service that allows data scientists to classify, clean, and transfer data. It is serverless with a Data Catalog, a scheduler, and an ETL engine for producing Scala or Python code.

AWS 52

AWS Data Science Certification Amazon Web Services 52

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. To build such ML projects, you must know different approaches to cleaning raw data.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

After carefully exploring what we mean when we say "big data," the book explores each phase of the big data lifecycle. With Tableau, which focuses on big data visualization , you can create scatter plots, histograms, bar, line, and pie charts.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

JANUARY 24, 2023

Lets understand this with a simple example of how a retailer can use BigQuery. Retail companies have huge amounts of data about customers, inventory, and sales that are stored across various sources databases, excel sheets, data lakes, etc. BigQuery can be used to analyze customer purchase patterns or sales trends.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more. are the top companies hiring Big Data Engineers in the Retail sector.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

OCTOBER 25, 2022

What Is Data Manipulation? . In data manipulation, data is organized in a way that makes it easier to read, or that makes it more visually appealing, or that makes it more structured. Data collections can be organized alphabetically to make them easier to understand. .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

AltexSoft

JULY 19, 2022

So, to avoid any confusion, please be aware that data mesh is NOT. a data fabric, which is a single environment consisting of a unified architecture, and services or technologies running on that architecture.

Architecture 52

Architecture Data Lake Medical Datasets 52

ProjectPro

AUGUST 6, 2015

Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. Log Analytics Project COVID-19 Data Analysis Movielens Data Analysis for Recommendations Retail Analytics Project Example Let us now discuss them in detail.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

AUGUST 18, 2021

Flight dataset structure. To get an idea of how to structure data for airfare prediction, let’s take a look at the above-mentioned Kaggle’s training dataset, which contains over 10,000 records about flights executed between March and June 2019. The ensemble of techniques resulted in 23.8 percent of average savings per passenger.

Algorithm 59

Algorithm Datasets R (Programming) Machine Learning 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. 12 Cognizant IT Consulting Per client requirements Client projects in finance, telecom and retail.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Cloudera

JANUARY 11, 2018

Quotient can now target promotions based on shoppers’ purchase behavior, helping retailers and CPG companies increase consumer engagement and loyalty while better tailoring outreach to consumer needs. These companies were able to receive notable benefits from their data collection and aggregation efforts.

Data Warehouse 40

Data Warehouse Telecommunication Media Retail 40