Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. No doubt companies are investing in big data and as a career, it has huge potential.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JUNE 6, 2025

Let's delve deeper into the essential responsibilities and skills of a Big Data Developer: Develop and Maintain Data Pipelines using ETL Processes Big Data Developers are responsible for designing and building data pipelines that extract, transform, and load (ETL) data from various sources into the Big Data ecosystem.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. RDDs provide fault tolerance by tracking the lineage of transformations to recompute lost data automatically. a list or array) in your program.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Key Features: Along with direct connections to Google Cloud's streaming services like Dataflow, BigQuery includes built-in streaming capabilities that instantly ingest streaming data and make it readily accessible for querying. You can use Dataproc for ETL and modernizing data lakes.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. It has brought access to various vital documents to the users’ fingertips. Hop on to the next section to learn more about a data engineer's responsibilities.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. It's not just theory; it's about seeing how this framework actively shapes our data-driven world. These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Data Processing: This is the final step in deploying a big data model. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink , and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS.

Big Data 40

Big Data Hadoop Relational Database NoSQL 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

JUNE 6, 2025

The job of data engineers typically is to bring in raw data from different sources and process it for enterprise-grade applications. We will look at the specific roles and responsibilities of a data engineer in more detail but first, let us understand the demand for such jobs in the industries. are prevalent in the industry.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

AWS DevOps offers an innovative and versatile set of services and tools that allow you to manage, scale, and optimize big data projects. With AWS DevOps, data scientists and engineers can access a vast range of resources to help them build and deploy complex data processing pipelines, machine learning models, and more.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Many organizations are struggling to store, manage, and analyze data due to its exponential growth. Cloud-based data lakes allow organizations to gather any form of data, whether structured or unstructured, and make this data accessible for usage across various applications, to address these issues.

Data Lake 40

Data Lake Hadoop SQL Big Data 40

ProjectPro

JUNE 6, 2025

The key responsibilities are deploying machine learning and statistical models , resolving data ambiguities, and managing of data pipelines. Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. Data processing is where the real magic happens.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. You may add new data regularly, but once you add the data, it does not change very frequently. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Big Data Data engineers must focus on managing data lakes, processing large amounts of big data, and creating extensive data integration pipelines. These tasks require them to work with big data tools like the Hadoop ecosystem and related tools like PySpark , Spark, and Hive.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Research and thorough preparation can increase your probability of making it to the next step in any Hadoop job interview.

Hadoop 40

Hadoop Java SQL Big Data 40

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe.

Hadoop 52

Hadoop BI Big Data Tools Big Data 52

ProjectPro

JUNE 6, 2025

Big data technology significantly changes how organizations interact with clients, influence decisions, and establish workflows. Employing Big Data insights gives businesses a significant competitive advantage. For instance, Bluetooth-based data beacons placed throughout the building or augmented reality (AR).

Big Data 40

Big Data Data Analytics Manufacturing Hadoop 40

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights. With AWS, you gain access to scalable infrastructure, robust data storage, and cutting-edge analytics capabilities.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Big data is often characterized by the seven V's: Volume , Variety , Velocity, Variability, Veracity, Visualization, and Value of data. Big data engineers leverage big data tools and technologies to process and engineer massive data sets or data stored in data storage systems like databases and data lakes.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Table of Contents What is a Data Architect Role?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Kickstart your data engineer career with end-to-end solved big data projects for beginners.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 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. In this course, you can expect ongoing support and access to free resources to enhance your learning journey.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

The innovations in augmented analytics enable anyone from data scientists to business users to discover insights more quickly by making machine learning, statistics, natural language processing, etc., more accessible. Quick Insights give users better visibility to data insights within a certain amount of time with only one click.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Data Engineer - Roles and Responsibilities The day-to-day tasks of a data engineer are as follows: Using data to identify hidden patterns and predict trends Creating reports and providing updates to stakeholders based on data analytics. Build database software to store and manage data.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Complex data transformations, aggregations, calculations, and analyses are performed here.It is responsible for executing data transformations, aggregations, calculations, or any other operations specified in the pipeline. Batch data pipeline tools like Apache Spark, Hadoop MapReduce , or Apache Flink can be used for this.

Data Pipeline 40

Data Pipeline Building Data Ingestion Retail 40

ProjectPro

JUNE 4, 2018

News on Hadoop - May 2018 Data-Driven HR: How Big Data And Analytics Are Transforming Recruitment.Forbes.com, May 4, 2018. With platforms like LinkedIn and Glassdoor giving every employer access to valuable big data, the world of recruitment transforming to intelligent recruitment.HR

Hadoop 52

Hadoop Recruitment Banking Big Data 52

ProjectPro

JANUARY 20, 2016

With widespread enterprise adoption, learning Hadoop is gaining traction as it can lead to lucrative career opportunities. There are several hurdles and pitfalls students and professionals come across while learning Hadoop. How much Java is required to learn Hadoop? How much Java is required to learn Hadoop?

Hadoop 52

Hadoop SQL Java BI 52

ProjectPro

JUNE 6, 2025

The AI platform can be used for several use cases like access control, number plate recognition, recommendation system, business analytics with NLP, etc. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Image source: docs.aws.amazon.com 8.

Project 45

Project AWS Algorithm Machine Learning 45

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. What is Hadoop? Hadoop is an open-source framework that is written in Java.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JUNE 6, 2025

Machine Learning Runtime: Azure Databricks offers one-click access to preconfigured machine learning environments. This feature enables data scientists and developers to deploy ML models using popular machine learning frameworks like PyTorch, TensorFlow, and sci-kit-learn. What is Azure Databricks for?

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Google offered the Apache Software Foundation the underlying SDK, a local runner implementation, and a set of IOs (data connectors) to access GCP's data services in January 2016. The Google Cloud Dataflow is a fully-managed service designed to make data and data analytics more accessible through parallel processing.

Google Cloud 40

Google Cloud Java Data Ingestion SQL 40

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

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. Processes structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40