ProjectPro

FEBRUARY 1, 2016

News on Hadoop – January 2016 Hadoop turns 10, Big Data industry rolls along. Zdnet.com, January 29, 2016 2016 marks the tenth birthday of the big daddy of big data -Apache Hadoop. Hadoop ignited the big data craze 10 years back and it continues to be the show of the star in the data century.

Hadoop 52

Hadoop BI Big Data Data Analysis Tools 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. The Global Hadoop Market is anticipated to reach $8.74

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Batch Processing vs Stream Processing : Comparison As we already know, batch processing is primarily focused on large-scale data analysis , while stream processing enables real-time data analysis for insights and immediate actions. Complex; requires distributed processing and real-time data flow management.

Process 40

Process Kafka Hadoop Banking 40

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

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. What Are Big Data T echnologies? Let's check the big data technologies list.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

Azure Databricks vs. Databricks: A Comparison of Data Solutions Azure Synapse vs. Databricks Azure Data Factory vs. Databricks Azure Databricks Project Ideas Master Azure Databricks with Industry-Grade Solved Projects by ProjectPro FAQs on Azure Databricks What is Azure Databricks? When Not to Use Azure Databricks?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JANUARY 12, 2016

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

Hadoop 52

Hadoop Java Electronics Big Data 52

ProjectPro

FEBRUARY 1, 2018

News on Hadoop - Janaury 2018 Apache Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 The latest update to the 11 year old big data framework Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0 This new feature of YARN federation in Hadoop 3.0

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

ProjectPro

SEPTEMBER 11, 2015

Hadoop has now been around for quite some time. But this question has always been present as to whether it is beneficial to learn Hadoop, the career prospects in this field and what are the pre-requisites to learn Hadoop? By 2018, the Big Data market will be about $46.34 Big Data is not going to go away.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

JUNE 6, 2025

With this knowledge, they can design efficient data pipelines, automate data transformation, and ensure data quality and accuracy, which benefits their organization's data-driven initiatives. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

NOVEMBER 10, 2016

Let’s help you out with some detailed analysis on the career path taken by hadoop developers so you can easily decide on the career path you should follow to become a Hadoop developer. What do recruiters look for when hiring Hadoop developers? What are the companies hiring for Hadoop?

Hadoop 52

Hadoop NoSQL Java Electronics 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

MARCH 25, 2015

Table of Contents Big Data in Telecom How big the telecommunication industry really is? Big Data has made its presence felt across industries and Telecom sector is no different. Hortonworks puts Hadoop as one of the best placed tools to look into Telecom data analytics. that are in constant need of information.

Telecommunication 40

Telecommunication Hadoop Electronics Big Data 40

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

The outcome of this project is a refined business process in financial analysis, showcasing the power and significance of data integration in enhancing analytical capabilities. In this project, you will dive into finance data analysis from multiple data sources by creating a serverless pipeline.

Data Integration 40

Data Integration Project Data Lake Hospitality 40

ProjectPro

APRIL 2, 2015

Retail industry is rapidly adopting the data centric technology to boost sales. Retailers are gasping big data solutions through customer analytics to grow faster, increase profitability and win competitors rat race by personalizing their in-store and online product offerings.

Retail 40

Retail Hadoop Big Data Data Mining 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

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JUNE 6, 2025

AWS offers the best serverless cloud data analytics solutions, including solutions for data warehousing, big data solutions, data integration, and much more. Table of Contents Why Learn AWS for Data Engineering? What is Data Engineering?? What is AWS for Data Engineering?

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set.

Big Data 52

Big Data Certification Hadoop Kafka 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. SQL is also an essential skill for Azure Data Engineers.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 13, 2023

Tiger Analytics Tiger Analytics is among the important big data analytics companies. Tiger Analytics is a global leader in data analytics, and they provide organizations with a variety of data analysis options. It is also considered among the important big data consulting firms.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

However, if they are properly collected and handled, these massive amounts of data can give your company insightful data. We will discuss some of the biggest data companies in this article. So, check out the big data companies list. What Is a Big Data Company? Amazon - Amazon's cloud-based platform is well-known.

Big Data 52

Big Data Amazon Web Services Unstructured Data Manufacturing 52

Knowledge Hut

DECEMBER 27, 2023

No doubt companies are investing in big data and as a career, it has huge potential. Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? We are discussing here the top big data tools: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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! It covers topics such as data architecture, data modeling, data ingestion and transformation, data analysis, and machine learning integration with GCP.

Google Cloud 40

Google Cloud Certification Cloud Cloud Computing 40

ProjectPro

JUNE 6, 2025

If you are wondering whether you are the right fit for this certification, here’s a list of ideal candidates- Candidates enthusiastic about working with data and cloud data solutions. Business analysts, decision makers and managers who want to learn how Azure Data Services can be used for better business decision making.

Certification 45

Certification Google Cloud Data Lake SQL 45

ProjectPro

JUNE 6, 2025

Data Storage- Exploring various data storage options, including Azure SQL Database, Azure Cosmos DB , Azure Blob Storage , and Azure Data Lake Storage. Data Processing- Learning about data processing technologies, such as Azure Data Factory , Azure Databricks , and Azure Stream Analytics.

Certification 40

Certification Cloud Cloud Computing SQL 40

Cloud Academy

JANUARY 27, 2022

You learn how to set up a cluster of machines, allowing you to create a distributed computing engine that can process large amounts of data. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

OCTOBER 5, 2023

AWS Big Data specialists should thoroughly understand programming languages such as C and C++, technological applications, and cloud environments. Besides, they should be well-versed in data analysis and statistics. Besides AWS, you can also add Hadoop or Spark certifications to your merits.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

Knowledge Hut

NOVEMBER 19, 2023

Benefits of Azure Data Engineer Tools Azure tools for Data Engineers offer several benefits for organizations and professionals involved in data engineering: Scalability: Azure data services can scale elastically to handle growing data volumes and workloads, ensuring that your data solutions remain performant as your needs expand.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 52

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

Whether you're running ad-hoc queries or performing complex data transformations, Azure Synapse ensures that your analytics are conducted swiftly, enabling timely decision-making. It supports a variety of query languages, including the industry-standard SQL, as well as popular data analysis languages like Python and R.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Databand.ai

DECEMBER 13, 2022

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Knowledge Hut

JUNE 30, 2023

The essential theories, procedures, and equipment for creating trustworthy and effective data systems are covered in this book. It explores subjects including data modeling, data pipelines, data integration, and data quality, offering helpful advice on organizing and implementing reliable data solutions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. Big Data Start-ups that put data first are able to fine-tune faster with the competitive market. TB of compressed data on daily basis.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40