ProjectPro

JUNE 6, 2025

Are you interested in becoming a data architect? According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture."

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Ready to ride the data wave from “ big data ” to “big data developer”? This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems. What does a Big Data Developer do?

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Did you know the Data Science industry will be worth 322.9 Well, this indicates that there will be a higher demand for skilled data science professionals worldwide. One of the most crucial points to keep in mind is to upskill yourself in the most popular data science tools and technologies. USD billion in 2026?

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

ProjectPro

JUNE 6, 2025

Are you looking to choose the best cloud data warehouse for your next big data project? This blog presents a detailed comparison of two of the very famous cloud warehouses - Redshift vs. BigQuery - to help you pick the right solution for your data warehousing needs. The global data warehousing market will likely reach $51.18

Data Warehouse 40

Data Warehouse Data Mining PostgreSQL Google Cloud 40

ProjectPro

JUNE 6, 2025

Choosing the right data analysis tools is challenging, as no tool fits every need. This blog will help you determine which data analysis tool best fits your organization by exploring the top data analysis tools in the market with their key features, pros, and cons. Which data analysis software is suitable for smaller businesses?

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? Is Hadoop a data lake or data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science? renamed to Java.

Java 53

Java Data Science Python Programming Language 53

ProjectPro

JUNE 6, 2025

The 2024 digital revolution has brought about a significant conflict within the technological world - data science vs data engineering! How to Move from Data Engineering to Data Science? Explore ProjectPro to Diversify Your Data Science Portfolio FAQs on Data Science vs Data Engineering What is a data science engineer?

Data Science 52

Data Science Portfolio Programming Language Algorithm 52

ProjectPro

JUNE 6, 2025

Microsoft offers Azure Data Lake, a cloud-based data storage and analytics solution. It is capable of effectively handling enormous amounts of structured and unstructured data. Therefore, it is a popular choice for organizations that need to process and analyze big data files.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

ProjectPro

JUNE 6, 2025

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

JUNE 6, 2025

This list of data analyst interview questions is based on the responsibilities handled by data analysts.However, the questions in a data analytic job interview may vary based on the nature of work expected by an organization. We have collected a library of solved Data Science use-case code examples that you can find here.

Data Mining 40

Data Mining Data Cleanse Hadoop Algorithm 40

ProjectPro

JUNE 6, 2025

Worried about building a great data engineer resume ? Read this data engineer resume guide to learn how to write a killer data engineer resume before applying for your next data engineer job. We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Look no further than the dynamic field of data science! As a business analyst, you already possess some vital skills for a successful data science career. However, becoming a data scientist may require additional learning and development. Due to this high demand and specialized skill set, data science jobs tend to pay well.

Business Analyst 40

Business Analyst Data Mining Portfolio Programming Language 40

U-Next

MARCH 7, 2023

ntroduction Data Analytics is an extremely important field in today’s business world, and it will only become more so as time goes on. By 2023, Data Analytics is projected to be worth USD 240.56 The Data Analyst interview questions are very competitive and difficult. Why is MS Access important in Data Analytics?

Data Mining 96

Data Mining Scala Government Data Governance 96

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline.

Hadoop 52

Hadoop Database-centric Pipeline-centric Consulting 52

ProjectPro

JUNE 6, 2025

Are you passionate about data but lack experience as a data analyst? This comprehensive blog will show you how to become a data analyst with no experience, breaking down the process into simple steps and providing you with resources and tools to help you along the way. How To Become A Data Analyst Without Experience?

Portfolio 40

Portfolio Programming Language Hadoop Consulting 40

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JUNE 6, 2025

Are you interested in becoming a GCP Data Engineer? Here is a guide on how to jumpstart your career as a data engineer on the Google Cloud Platform. Cloud computing solves numerous critical business problems, which is why working as a cloud data engineer is one of the highest-paying jobs, making it a career of interest for many.

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JULY 13, 2015

With more than 150 petabytes of data, approximately 3.5 Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Data Mining Transportation 52

ProjectPro

JUNE 6, 2025

One of the most frequently asked question from potential ProjectPro Hadoopers is can they talk to some of our current students to understand how good the quality of our IBM certified Hadoop training course is. ProjectPro reviews will help students make well informed decisions before they enrol for the hadoop training.

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

JULY 3, 2018

News on Hadoop - June 2018 RightShip uses big data to find reliable vessels.HoustonChronicle.com,June 15, 2018. RightShip is using IBM’s predictive big data analytics platform to calculate the likelihood of compliance or mechanical troubles that an individual merchant ship will experience within the next year.It

Hadoop 52

Hadoop Big Data Government Data Mining 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Machine Learning Data Science 98

Knowledge Hut

MAY 2, 2024

Why We Need Big Data Frameworks Big data is primarily defined by the volume of a data set. Big data sets are generally huge – measuring tens of terabytes – and sometimes crossing the threshold of petabytes. It is surprising to know how much data is generated every minute. As estimated by DOMO : Over 2.5

Scala 96

Scala Hadoop Java Data Mining 96

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 Gartner?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

JULY 3, 2015

There are some tech buzzwords like SAP that have been more predominant than “Big Data” Companies can analyse structured big data in real time with in-memory technology. solutions with in-memory technology store data in the working memory instead of the hard drive making it easier for processing, evaluation and use.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 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 Consulting 40

ProjectPro

JUNE 6, 2025

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

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

Hadoop 40

Hadoop Retail Banking Healthcare 40

ProjectPro

JUNE 30, 2016

Now, a big-data driven news app for India. 23K jobs for big data analytics in Bengaluru. Data analytics firms gear up to lure the best talent as the demand for specialised talent increases. TCS partners with four colleges to offer courses in Big Data. Economic Times Academy for data science to be launched.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

APRIL 2, 2015

Retail big data analytics is the future of retail as it separates the wheat from the chaff. Retail industry is rapidly adopting the data centric technology to boost sales. Below we present 5 most interesting use cases in big data and Retail Industry , which retailers implement to get the most out of data.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

MARCH 27, 2014

With big data gaining traction in IT industry, companies are looking to hire competent hadoop skilled talent than ever before. If the question is, does the certification make a difference in getting job as a Hadoop developer , Hadoop Architect or a Hadoop admin - here is the answer. billion by the end of 2017.

Hadoop 40

Hadoop Java Big Data Data Mining 40

ProjectPro

JUNE 6, 2025

The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.), billion in 2028?

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

ProjectPro

APRIL 29, 2015

In the next 3 to 5 years, more than half of world’s data will be processing using Hadoop. This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. Senior data scientists can expect a salary in the $130,000 to $160,000 range.

Hadoop 40

Hadoop Certification IT Big Data 40