Knowledge Hut

DECEMBER 26, 2023

Online courses often include video lectures, quizzes, and other materials that can be accessed online. Most online courses are asynchronous, meaning that students can access the course materials at any time. Edx has three commitments to all learners: Promote universal access to high-quality education for all people everywhere.

Certification 95

Certification Java Google Cloud Education 95

ProjectPro

MAY 29, 2015

Professionals looking for a richly rewarded career, Hadoop is the big data technology to master now. Big Data Hadoop Technology has paid increasing dividends since it burst business consciousness and wide enterprise adoption. According to statistics provided by indeed.com there are 6000+ Hadoop jobs postings in the world.

Hadoop 52

Hadoop Big Data Banking NoSQL 52

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. " Instead of relying on nearby hard drives and personal data centers, it requires storing and accessing data on distant servers.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

MAY 26, 2015

In view of the above we have launched Industry Interview Series – where every month we interview someone from the industry to speak on Big Data Hadoop use cases. We had the pleasure to invite Garima Batra, a core platform engineer at MobStac involved in the development of Beaconstac iOS SDK to speak on “How IoT leverages Hadoop?”

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

OCTOBER 31, 2016

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” were excluded.).

Hadoop 52

Hadoop Big Data Utilities NoSQL 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? The availability of skilled big data Hadoop talent will directly impact the market.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

SEPTEMBER 30, 2014

Hadoop’s significance in data warehousing is progressing rapidly as a transitory platform for extract, transform, and load (ETL) processing. Mention about ETL and eyes glaze over Hadoop as a logical platform for data preparation and transformation as it allows them to manage huge volume, variety, and velocity of data flawlessly.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. that are usually not present in a resume. that are usually not present in a resume. Make sure your photo is front facing and do smile!

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

JULY 26, 2016

Hiring managers agree that “Java is one of the most in-demand and essential skill for Hadoop jobs. But how do you get one of those hot java hadoop jobs ? You have to ace those pesky java hadoop job interviews artfully. To demonstrate your java and hadoop skills at an interview, preparation is vital.

Java 40

Java Hadoop Bytes Programming 40

ProjectPro

MARCH 21, 2016

Using Hadoop distributed processing framework to offload data from the legacy Mainframe systems, companies can optimize the cost involved in maintaining Mainframe CPUs. Need to Offload Data from Mainframes to Hadoop Mainframe legacy systems account for 60% of the global enterprise transactions happening today.70%

Hadoop 40

Hadoop Insurance Big Data Retail 40

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. You’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months.

Big Data 52

Big Data Certification Hadoop Scala 52

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 Datasets Media 40

ProjectPro

APRIL 11, 2016

Let’s face it; the Hadoop Interview process is a tough cookie to crumble. If you are planning to pursue a job in the big data domain as a Hadoop developer , you should be prepared for both open-ended interview questions and unique technical hadoop interview questions asked by the hiring managers at top tech firms.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

NOVEMBER 6, 2015

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

Hadoop 52

Hadoop SQL Java Metadata 52

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. Table of Contents How to prepare for a Hadoop Admin Interview?

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

Knowledge Hut

JANUARY 12, 2024

Rather than having physical servers in a network closet in a back office, users and businesses can access digital information over the internet from anywhere. Developing and updating the employees' access to the cloud presence. Learning MySQL and Hadoop can be pleasant. Assessing the need for updates.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

ProjectPro

FEBRUARY 21, 2023

This blog explores the pathway to becoming a successful Databricks Certified Apache Spark Developer and presents an overview of everything you need to know about the role of a Spark developer. A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 25, 2015

Telephone service, cable television, internet services and wireless are all being provided as an integrated telecom solution and at present, the International Telecommunications Union (ITU) estimates approximately 6.9 Table of Contents Big Data in Telecom How big the telecommunication industry really is?

Telecommunication 40

Telecommunication Hadoop Electronics Big Data 40

ProjectPro

SEPTEMBER 26, 2014

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Knowledge Hut

MARCH 20, 2024

Front-end engineers' analytical abilities are used in bug fixes and the smooth visual presentation of customer-facing web pages. To preserve system integrity and safeguard sensitive data, they are responsible for developing and implementing security measures, including firewalls, access control systems, and encryption.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

ProjectPro

APRIL 4, 2015

With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.

Hadoop 40

Hadoop Big Data Recruitment Java 40

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

ProjectPro

JANUARY 31, 2023

Visualization: Visualization refers to the presentation of data to the management for decision-making purposes. 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 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

Knowledge Hut

JANUARY 22, 2024

Here is an overview of the key pros and cons: Online Courses Offer significant flexibility - you can access course materials at any time from anywhere at your own pace. Allow access to a global pool of instructors and peers. Provide access to campus facilities and resources like labs, libraries, and career centers.

Data Science 52

Data Science Certification Education Data Lake 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

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Even data that has to be filtered, will have to be stored in an updated location.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

JULY 6, 2015

This is the reality that hits many aspiring Data Scientists/Hadoop developers/Hadoop admins - and we know how to help. What do employers from top-notch big data companies look for in Hadoop resumes? How do recruiters select the best Hadoop resumes from the pile? What recruiters look for in Hadoop resumes?

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

Knowledge Hut

JUNE 16, 2023

They also work with Big Data technologies such as Hadoop and Spark to manage and process large datasets. They are accountable to build, model, and manage complicated data in highly comprehensible cloud-based data platforms for users to access in dashboards. AI Engineer Career Opportunities? between 2022 to 2030.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

ProjectPro

APRIL 2, 2015

Below we present 5 most interesting use cases in big data and Retail Industry , which retailers implement to get the most out of data. 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

SEPTEMBER 26, 2021

Presentation Skills: Big Data Engineers also present the data-driven findings to the internal and external stakeholders. You should have good presentation skills to engage the customers and stakeholders in your presentations. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

MAY 14, 2021

and any discoveries are presented almost instantaneously. Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Apache Hadoop. Hadoop architecture layers. The analytics usually happens in real-time ?

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

SEPTEMBER 14, 2021

The end-users can access and operate it through APIs and web dashboards. It is essential to have supreme access control over the cloud to avoid any security violations. Multi-factor authentication is one security technique to ensure only authentic users access the servers, system, and data. block and object storage.

AWS 52

AWS Amazon Web Services Cloud Computing Big Data 52

ProjectPro

AUGUST 24, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects 1) Smart IoT Infrastructure In this IoT project , you will be discussing a general architecture for building smart IoT infrastructure. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 27, 2021

Data warehouses are optimized to handle complex queries, which can access multiple rows across many tables. The primary role of a data scientist is to take raw data presented on the data and apply analytic tools and modeling techniques to analyze the data and provide insights to the business. Data is regularly updated.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40