ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Knowledge Hut

JUNE 3, 2024

Data scientists use machine learning and algorithms to bring forth probable future occurrences. Data Science combines business and mathematics by employing a complex algorithm to the knowledge of the business. Fraud Detection- If algorithms and AI tools are in place, fraudulent transactions are rectified instantly.

Programming Language 96

Programming Language Data Science Entertainment Banking 96

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 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 Data Analytics 52

ProjectPro

SEPTEMBER 14, 2016

A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do? Table of Contents Who is a Hadoop Developer?

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Edureka

APRIL 17, 2023

As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. This article will discuss nine data analytics project ideas for your portfolio. What is the Role of Data Analytics? Lest discuss about data analytics projects ideas in next section.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

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. Setting up and optimizing your LinkedIn profile to get noticed by recruiters in the big data space takes time. that are usually not present in a resume.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MARCH 10, 2016

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 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. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MARCH 23, 2015

was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0 Hadoop Users Expectations from Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Kafka 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

MAY 11, 2015

Is Hadoop easy to learn? For most professionals who are from various backgrounds like - Java, PHP,net, mainframes, data warehousing, DBAs, data analytics - and want to get into a career in Hadoop and Big Data, this is the first question they ask themselves and their peers. Table of Contents How much Java is required for Hadoop?

Java 40

Java Hadoop Programming Language Bytes 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

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 6, 2015

You have your basic concepts about data structures, algorithms, discrete Math and Statistics clear. 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? CareerPlanners Inc.

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

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

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

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 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. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

DECEMBER 26, 2023

It helps to understand concepts like abstractions, algorithms, data structures, security, and web development and familiarizes learners with many languages like C, Python, SQL, CSS, JavaScript, and HTML. Create a systematic, data-driven strategy for calculating predicted returns and risks for major asset classes and optimal portfolios.

Certification 95

Certification Java Google Cloud Education 95

Knowledge Hut

AUGUST 16, 2024

There are also exceptions in the industry, where Data Scientists do not have a Bachelor’s degree or a Master’s degree in a related field, but have an impressive project portfolio, showcasing their skills. They are the core of Machine Learning algorithms and are used to analyze data, build models and draw conclusions.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Knowledge Hut

JUNE 16, 2023

New generative AI algorithms can deliver realistic text, graphics, music and other content. Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. between 2022 to 2030.

Engineering 52

Engineering Deep Learning Software Engineer Software Engineering 52

ProjectPro

APRIL 14, 2015

graduate devised an algorithm to hack OkCupid by optimally using the data that was already there. McKinlay was not satisfied with the compatible match making algorithms the dating sites were using as it did not help him find his Mrs. Perfect with similar tastes who could become his soul mate.

Big Data 52

Big Data Data Analysis Algorithm Hadoop 52

ProjectPro

FEBRUARY 21, 2023

A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications. Developing analytics software, services, and components in Java, Apache Spark, Kafka , Storm, Redis, and other associated technologies like Hadoop and Zookeeper.

Scala 52

Scala Programming Language Hadoop Java 52

ProjectPro

SEPTEMBER 26, 2021

Data Scientists use ML algorithms to make predictions on the data sets. Basic knowledge of ML technologies and algorithms will enable you to collaborate with the engineering teams and the Data Scientists. Algorithms and Data Structures: You should understand your organization’s data structures and data functions.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

The big data engineer then analyzes this data using unique algorithms and data models to gain valuable insights. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights. What Does A Big Data Engineer Do? Roles and Responsibilities] What does a big data engineer do?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 18, 2024

Host: The competition is sponsored by Hadoop World, a leading conference and exposition on big data and analytics, and the BigData Women's Group hosts it. Alcrowd Alcrowd is a new algorithmic competition where participants compete to solve complex tasks. Here participants compete to solve complex tasks.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Deep Learning is a machine learning technique based on artificial neural networks.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 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

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

DECEMBER 21, 2023

A machine learning engineer is a professional who develops and refines the algorithms which are further used by machine learning tools. A machine learning engineer also analyzes the cases where the ML algorithms are being used and determines the success probability of using each. Read on to find out.

Machine Learning 52

Machine Learning Engineering Computer Science Portfolio 52

Knowledge Hut

NOVEMBER 28, 2023

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem. Knowledge of distributed systems helps you understand consensus algorithms and coordinating protocols.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

FEBRUARY 8, 2017

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. 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., Support large-scale implementation of machine learning algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

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