ProjectPro

JUNE 6, 2025

To ensure success in earning the certification, it is also recommended to have practical hands-on experience (at least five years of experience) and familiarity with big data ecosystem core concepts. On top of that, knowledge of large scale distributed systems like Apache Hadoop and Spark will also prove to be useful.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

FEBRUARY 1, 2017

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The largest gaming agency in Finland, Veikkaus is using big data to build a 360 degree picture of its customers. Source : [link] How Hadoop helps Experian crunch credit reports. Forbes.com, January 5, 2017.

Hadoop 52

Hadoop MongoDB Kafka Big Data 52

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Handle and source data from different sources according to business requirements. And for handling such large datasets, the Hadoop ecosystem and related tools like Spark, PySpark , Hive, etc.,

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Businesses are wading into the big data trends as they do not want to take the risk of being left behind. This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. billionby 2020, recording a CAGR of 35.1% during 2014 - 2020.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka. In Hadoop clusters , Spark apps can operate up to 10 times faster on disk. Hadoop, created by Doug Cutting and Michael J.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JUNE 6, 2025

Million opportunities for remote and on-site data engineering roles. So, have you been wondering what happens to all the data collected from different sources, logs on your machine, data generated from your mobile, data in databases, customer data, and so on? But does it have that high demand?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? Let us understand the key steps involved in real-time data ingestion into HDFS using Sqoop with the help of a real-world use case where a retail company collects real-time customer purchase data from point-of-sale systems and e-commerce platforms.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

A data architect role involves working with dataflow management and data storage strategies to create a sustainable database management system for an organization. Types of Data Architect Careers Data architects can apply their skills in several ways and in various job roles.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Step-1 Data Collection To master the data collection domain for the Amazon AWS Data Analytics Certification Exam, here are the key steps you can take. Familiarize yourself with the operational characteristics of data collection systems, understanding their capabilities and limitations.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Theoretical knowledge is not enough to crack any Big Data interview. Get your hands dirty on Hadoop projects for practice and master your Big Data skills! Marketing Campaign Analytics Optimization Using AWS EMR Tools And Technologies: AWS EMR, AWS S3, Apache Hadoop, Apache Spark, Apache Hive, Machine Learning.

AWS 61

AWS Project Medical Deep Learning 61

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

JUNE 6, 2025

The distributed analytics framework allows data scientists and analysts to quickly analyze unstructured large-scale data sets. Spark is incredibly fast in comparison to other similar frameworks like Apache Hadoop. It is approximately 100 times quicker than Hadoop since it uses RAM rather than local memory.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume. 180 zettabytes- the amount of data we will likely generate by 2025! This is what data engineering does. Data engineering entails creating and developing data collection, storage, and analysis systems.

Data Engineering 40

Data Engineering Data Engineer Recruitment Building 40

ProjectPro

JUNE 6, 2025

Knowledge of the definition and architecture of AWS Big Data services and their function in the data engineering lifecycle, including data collection and ingestion, data analytics, data storage, data warehousing, data processing, and data visualization.

Certification 40

Certification Data Engineering Data Engineer Engineering 40

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

OCTOBER 5, 2018

With market leaders like Microsoft and SAP expanding their horizons at the end user industry, HaaS is likely to witness rapid growth in the next 7 years.Organizations like Commerzbank have already launched new platforms based on HaaS solutions which demonstrate that HaaS is a promising solution for building and managing big data clusters.

Hadoop 40

Hadoop BI MongoDB Big Data 40

Data Engineering Podcast

SEPTEMBER 16, 2018

What is unique about customer event data from an ingestion and processing perspective? Challenges with properly matching up data between sources Data collection is one of the more difficult aspects of an analytics pipeline because of the potential for inconsistency or incorrect information.

Google Cloud 100

Google Cloud Consulting Hadoop Kafka 100

ProjectPro

JUNE 5, 2015

“What is Hadoop?” ” might seem a simple question but the answer to this question is not so simple because over the time Hadoop has grown into a complex ecosystem of various competitive and complementary projects. The path to learning hadoop is steep but using Hadoop framework successfully is not so easy.

Hadoop 40

Hadoop Big Data Media Datasets 40

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

ProjectPro

JUNE 6, 2025

Name a few data warehouse solutions currently being used in the industry. The popular data warehouse solutions are listed below: Amazon RedShift Google BigQuery Snowflake Microsoft Azure Apache Hadoop Teradata Oracle Exadata What is the difference between OLTP and OLAP? Are you a beginner looking for Hadoop projects?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Companies are using a VPN (Virtual Private Network) for collecting user data as customers entrust companies who are equipped with proper security measures. Transparency is the key to Success The frequently occurring high profile big data security breaches are enough to make cautious clients nervous about sharing their data.

Big Data 40

Big Data Retail Banking Pharmaceutical 40

Knowledge Hut

JUNE 25, 2024

Data collection, exploration, cleaning, munging, and manipulation 9. Parallel Computing for Data Science: With Examples in R, C++ and CUDA Parallel Computing for Data Science: With Examples in R, C++ and CUDA" by Norman Matloff, published by Chapman and Hall/CRC in 2015, is rated 4.12/5 Teaches Python crash course.

Data Science 97

Data Science Python Hadoop Media 97

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills. AWS, Azure, Google Cloud), machine learning algorithms/models, big data technologies (e.g., stars and 1,004 reviews.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

Data engineers deal with tasks that involve designing and maintaining architectures, building robust data pipelines, understanding data warehouse architectures, and optimizing database systems using tools like Apache Hadoop , and Spark. Acquiring the necessary data science skills is crucial to bridge this gap.

Data Science 52

Data Science Portfolio Programming Language Algorithm 52

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Metadata 40

Knowledge Hut

JUNE 3, 2024

We are at the very cusp of the data collection explosion in such a case. There is currently a shortage of Data Science engineers. The world is data-driven, and the need for qualified data scientists will only increase in the future. Your watch history is a rich data bank for these companies.

Entertainment 96

Entertainment Programming Language Data Science Banking 96

ProjectPro

MARCH 14, 2014

Every department of an organization including marketing, finance and HR are now getting direct access to their own data. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. In 2015, big data has evolved beyond the hype.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

Pinterest Engineering

OCTOBER 23, 2024

During Monarch’s inception in 2016, the most dominant batch processing technology around to build the platform was Apache Hadoop YARN. Now, eight years later, we have made the decision to move off of Apache Hadoop and onto our next generation Kubernetes (K8s) based platform. A major version upgrade to 3.x

AWS 65

AWS Hadoop Management Software Engineering 65

Cloudera

NOVEMBER 22, 2021

Explosion of data availability from a variety of sources, including on-premises data stores used by enterprise data warehousing / data lake platforms, data on cloud object stores typically produced by heterogenous, cloud-only processing technologies, or data produced by SaaS applications that have now evolved into distinct platform ecosystems (e.g.,

Government 94

Government Hadoop Data Security Data Warehouse 94

ProjectPro

JUNE 6, 2025

Big Data Processing To handle the immense volume and velocity of data generated by IT systems, AIOps relies on powerful big data processing tools. These tools, such as Elastic Stack, Hadoop 2.0, Dive into topics such as data collection, aggregation, data analysis , and data visualization.

Machine Learning 40

Machine Learning Algorithm Big Data Utilities 40