ProjectPro

SEPTEMBER 3, 2018

is using hadoop to develop a big data platform that will analyse data from its equipments located at customer sites across the globe. Source -[link] ) How Shopin is changing big data in online retail through Blockchain. Shopin rewards its customers with Shopin crypto tokens for sharing their personal data.

Hadoop 40

Hadoop Retail Banking Telecommunication 40

Knowledge Hut

JULY 27, 2023

IBM Big Data Architect Certification: IBM Hadoop Certification includes Hadoop training as well as real-world industry projects that must be completed to obtain certification.

Hadoop 52

Hadoop Programming Language Banking Scala 52

ProjectPro

JULY 3, 2017

China’s three top internet giants - Baidu, Alibaba and Tencent are influencing a major section of the country’s business by collecting big data concerning consumer and social behavior of millions of people. billion acquisition is Amazon’s big play to enter the brick-and-mortar retail. Datanami.com, June 22, 2017.

Hadoop 52

Hadoop Food MongoDB Retail 52

Knowledge Hut

DECEMBER 26, 2023

The scope of data science is extensive and touches upon many other fields, such as mathematics, statistics, computer science, information science, and more. In addition, data science is used in many industries, such as healthcare, finance, manufacturing, retail, and more. An individual with a master's degree or a Ph.D.

Data Science 52

Data Science Consulting Computer Science Education 52

Knowledge Hut

APRIL 20, 2023

Cybersecurity vs Data Science: Companies Hiring Businesses' recruiting practices for data science and cybersecurity positions differ tremendously. All businesses, including banking, healthcare, retail, and government, are in need of cybersecurity experts.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

SEPTEMBER 26, 2021

To be eligible for this role, a professional shall have expert knowledge in any BI tools and skills in data warehousing and database architecture. Big Data Architect, for instance, is one of the most popular Big Data Engineer job titles and the average salary in the US is $121K. Amazon, Walmart, e-Bay, etc.,

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

Due to the intricacy of these factors, experts with expertise in deep learning are in high demand in sectors such as retail, manufacturing, hospitality, and healthcare. Career Options: Big Data Engineer Data Architect Data Modeler Data Scientist Database Developer Database Manager Database Administrator D.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

MAY 16, 2021

Data analysts can also advance their careers by moving onto more specialized or advanced positions listed below: Data Engineer: $123,246 Data Scientist: $123,656 Data Architect: $144,429 What can you do to Earn Higher Data Analyst Salaries? The following image shows each of their annual pay scales.

Portfolio 40

Portfolio Healthcare Data Analytics SQL 40

ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains.

Cloud Computing 40

Cloud Computing Cloud Project Banking 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 It’s raining jobs for Hadoop skills in India. Don’t believe us?

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

DECEMBER 21, 2021

The Rossmann Stores dataset is one of the most popular datasets used by Data Science beginners. You can use the dataset and the linear regression machine-learning algorithm to forecast retail sales in this project. Also, you should try to analyze which factors influence sales fluctuations.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

ProjectPro

MAY 19, 2015

Career opportunities for Hadoop professionals are emerging across various business industries, from financial firms to retailers, healthcare, agriculture, sports, energy, utilite and media. Multinational retailers and auction management companies help users easily finds 1000’s of products instantly based on their preferences.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JUNE 29, 2016

Big data and Hadoop jobs have exploded globally in multiple business domains like Healthcare, Retail, Finance, Manufacturing, Media & Entertainment, etc., in both big and small organizations-whilst the number of hadoop professionals are still scarce and of course, Hadoop developers are pricey.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Confluent

SEPTEMBER 19, 2019

In other words, working with yesterday’s data just might not be possible. You see signs of this tension in shrinking ETL batch times: overnight was the original gold standard, then data architects figured out how to run batches hourly, then they started trying 15-minute batches, and so on.

Kafka 14

Kafka Data Pipeline Bytes Data Architect 14

Knowledge Hut

DECEMBER 21, 2023

A recognized degree in the related field Proficiency in cloud technologies such as AWS, Azure, Google Cloud, Hadoop, Spark, and Kafka Excellent communication, strong analytical and problem-solving skills Cloud Data Engineers can earn an average salary of $125,000 per year 5.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

FEBRUARY 24, 2016

If you do a quick google search for “data science jobs” or “data scientist jobs”, you will come across data scientist job opportunities in every industry. There is a need for data scientists across all industries. Yes, data scientists make good money. PREVIOUS NEXT <

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

DECEMBER 26, 2023

The regions in India where data professionals are highest in demand are Mumbai, Pune, Delhi, Bangalore, Chennai, and Hyderabad and the hiring industries include IT, healthcare, e-commerce, retail, etc. They are responsible for supporting the data warehouses, dashboards, reports, and ETL. What is a Data Architect?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Silectis

MARCH 9, 2021

However, the way an organization interacts with that data and prepares it for analytics will trend towards a single, dedicated platform. Our product, Magpie, is an example of a platform that was built from the ground up to serve the full end-to-end data engineering workflow. – Matt Boegner , Data Architect at Silectis 2.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

AltexSoft

MARCH 2, 2023

A solution architect can work closely with stakeholders to define data governance policies and procedures, design data architectures, and implement data management processes. A Data Architect typically focuses on creating and building data infrastructures inside an organization.

Data Governance 52

Data Governance Government Healthcare Programming 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Topics - These are logical demarcations that specify the kinds of data coming in from the producer. It distinguishes data on semantics.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Rockset

FEBRUARY 17, 2022

Yes, it’s nice to use all the fancy tools, but it’s important to remember that our product is the data. As data engineers, how we engineer said data is important. New Thing 8: The Power of SQL David Serna, Data Architect/BI Developer For me, one of the most important things that a modern data engineer needs to know is SQL.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52