ProjectPro

MARCH 23, 2015

In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Metadata 40

Knowledge Hut

JANUARY 18, 2024

You may also RSVP to Analytics Vidhya's unique data science events, where you can meet face to face with luminaries in the data science and machine learning communities. Driven Data The Driven Data Science online competition is an event series aimed at driving up the number of female data scientists in the industry.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

ProjectPro

FEBRUARY 21, 2023

Companies seek to hire Spark developers for various tasks, including enhancing programming efficiency, event stream processing, quick, real-time data querying, batch processing of large data sets, etc. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Working knowledge of S3, Cassandra, or DynamoDB.

Scala 52

Scala Programming Language Java Hadoop 52

Knowledge Hut

NOVEMBER 2, 2023

Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. Data Ingestion in Real Time Utilize Azure services like Azure Data Factory, Azure Stream Analytics, and Azure Event Hubs to design a real-time data input pipeline.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. 4) Event Data Analysis NYC Open Data is free public data published by New York City agencies and partners.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

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. Big Deal Companies are striking with Big Data Analytics What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

AltexSoft

MAY 14, 2021

The analytics commonly takes place after a certain period of time or event. Outlier analysis or anomaly detection is the technique used to identify data points and events that deviate from the rest of the data. Apache Hadoop. Hadoop architecture layers. As you can see, the Hadoop ecosystem consists of many components.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 21, 2023

This helps to execute the tasks without human interference and allows the computers to analyze past trends and predict future events. Other technologies, such as SQL, Apache Kafka, Hadoop, etc., Step 3: Begin Building Your Portfolio / Resume Your resume is a representation of your skills and knowledge.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

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

MARCH 14, 2014

This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills. Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

JUNE 24, 2021

It helps to build a job-winning data analytics portfolio and sets you apart from other candidates while applying for a job. Big Data Analytics Projects for Students using Hadoop: Working on data analytics projects is an excellent way to gain a better understanding of the popular big data tools like hadoop , spark, kafka, kylin, and others.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 2, 2015

Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects When Target statistician Andrew Pole built a data mining algorithm which ran test after test analyzing the data, useful patterns emerged which showed that consumers as a whole exhibit similar purchase behaviors.

Retail 40

Retail Hadoop Big Data Data Mining 40

Knowledge Hut

JANUARY 12, 2024

Learning MySQL and Hadoop can be pleasant. Build your portfolio : Work with various employers and build your professional portfolio. The cloud ensures your data is backed up and protected in a secure location in the event of a natural disaster, power failure, or other crisis. It powers many web pages in applications.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

Knowledge Hut

JUNE 16, 2023

They also work with Big Data technologies such as Hadoop and Spark to manage and process large datasets. Build a Portfolio Develop your own AI projects and showcase them on platforms like GitHub or Kaggle. Network Attend industry events, join online communities, and connect with AI professionals on different platforms.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. However, before moving on to a list of big data project ideas worth exploring and adding to your portfolio, let us first get a clear picture of what big data is and why everyone is interested in it.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

FEBRUARY 18, 2022

This project generates user purchase events in Avro format over Kafka for the ETL pipeline. Spark Streaming Framework performs batch and real-time join operations on user purchase and demographic type events. The Spark Streaming Framework receives these events and generates a range of points for time series and dashboards.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

AUGUST 11, 2021

Is Hadoop a data lake or data warehouse? ironSource started making use of Upsolver as its data lake for storing raw event data. Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. Recommended Reading: Is Hadoop Going To Replace Data Warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 12, 2016

How PayPal uses Hadoop? Before the advent of Hadoop, PayPal just let all the data go, as it was difficult to catch-all schema types on traditional databases. Now, PayPal processes everything just through Hadoop and HBase - regardless of the data format. PayPal expands its Hadoop usage into HBase to leverage HDFS.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

Maxime Beauchemin

JANUARY 20, 2017

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

JULY 27, 2021

How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Hadoop Distributed File System , or HDFS, primarily stores and processes large amounts of data or Big Data. Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., Experience with using cloud services providing platforms like AWS/GCP/Azure. Good communication skills as a data engineer directly works with the different teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 23, 2021

Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. As soon as you upload a CSV file, it will trigger an S3 event. Serverless Image Recognition Engine 13. Text-to-Speech Converter 14.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

FEBRUARY 19, 2016

If you are currently in the big data industry , then attending at least one big data conference or event is not an option- it is a must. Big data conferences or big data events provide professionals with an opportunity to learn and explore about the emerging big data trends and technologies.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

NOVEMBER 15, 2021

Furthermore, excellent open-source contributions can elevate your portfolio and resume to the next level, empowering you to pursue new and promising career avenues in the future. Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

NOVEMBER 20, 2023

It offers a single platform for viewing all your data sources, including metrics, logs, and events. It also supports long-term storage of past events without any loss of resolution or detail. The stack is built on top of Apache Lucene and Apache Hadoop. Kibana Kibana is an open-source analytics and visualization platform.

Amazon Web Services 52

Amazon Web Services Java AWS Cloud 52

ProjectPro

JULY 8, 2021

Kafka is an integral part of Netflix’s real-time monitoring and event-processing pipeline. The Keystone Data Pipeline of Netflix processes over 500 billion events a day. These events include error logs, data on user viewing activities, and troubleshooting events, among other valuable datasets. Up until Kafka 2.8.0,

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

NOVEMBER 22, 2021

The uName and the event timestamp are then combined to make a tuple. Join the two dataframes using code and count the number of events per uName. It should only output for users who have events in the format uName; totalEventCount. The data is stored in HDFS (Hadoop Distributed File System), which takes a long time to retrieve.

Hadoop 52

Hadoop Python Datasets Metadata 52

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

MAY 23, 2015

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? In 2012, Walmart made a move from the experiential 10 node Hadoop cluster to a 250 node Hadoop cluster.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JULY 21, 2021

Producers push event streams to the brokers, and consumers pull the data from brokers. Events streams are segregated by Topics that tag messages with their type/kind. This fail-safe model comes directly from the world of Big-Data Distributed systems architecture like Hadoop. The flow of events in Kafka is as follows.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

MAY 30, 2016

The next in the series of articles highlighting the most commonly asked Hadoop Interview Questions, related to each of the tools in the Hadoop ecosystem is - Hadoop HDFS Interview Questions and Answers. HDFS vs GFS HDFS(Hadoop Distributed File System) GFS(Google File System) Default block size in HDFS is 128 MB.

Hadoop 40

Hadoop Metadata Big Data Portfolio 40

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

DECEMBER 7, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline? The big data pipeline must process data in large volumes concurrently because, in reality, multiple big data events are likely to occur at once or relatively close together.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JUNE 1, 2015

When historical data combines with statistical models and mathematical algorithms and combines outside data to figure out what will be the outcome of an event. Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects Predictive and Prescriptive Analytics We will look at some examples of predictive and prescriptive analytics.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

ProjectPro

JANUARY 25, 2022

PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. RDDs are also fault-tolerant; thus, they will automatically recover in the event of a failure. RDD is an acronym for- Resilient - It is fault-tolerant and capable of regenerating data in the event of a failure.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MARCH 27, 2015

ICC Cricket World Cup is the most awaited event for these participants. Using Hadoop and other big data technologies cricket data can be analyzed to the niftiest precision. Cricket is played as a professional sport and has been so for the past 160 years. Data in Cricket is generated every day for 365 days.

Big Data 40

Big Data Data Analytics Hadoop Media 40

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon launched a promotional offer in 2011 – “Amazon pays shoppers $5 if they walk out of the store without any purchases.”

Big Data 52

Big Data Hadoop Insurance Media 52