Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. Maintaining accurate records of train movements, routes, timetables, and passenger data is essential for ensuring safe and efficient operations. So, Let's get started!

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

NOVEMBER 16, 2023

Java is the most popular programming language and is used throughout the world. Pursuing a c ertification in Java programming would give a head-start to your career as a software developer. Data Scientist With the ever-flooding Big Data in the picture, the field of data science has witnessed remarkable growth and popularity.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. It works for all types of data — unstructured, semi-structured, and structured.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., Deep Java Learning, Apache Spark 3.x, 4- Compose Data Experiences Organized around Value Propositions, Not Intermediate Data Outputs.

Generalist 117

Generalist Telecommunication Healthcare Data 117

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. Its user-friendliness and security are two of its main selling points.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

SEPTEMBER 26, 2021

Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets. Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. Python, R, and Java are the most popular languages currently.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

SEPTEMBER 14, 2016

How much java coding is involved in hadoop development job ? The better a hadoop developer knows the data, the better they know what kind of results are possible with that amount of data. Concisely, a hadoop developer plays with the data, transforms it, decodes it and ensure that it is not destroyed.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

OCTOBER 15, 2014

Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. What is Big Data and Hadoop? Generally data to be stored in the database is categorized into 3 types namely Structured Data, Semi Structured Data and Unstructured Data.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Related Posts How much Java is required to learn Hadoop?

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

SEPTEMBER 11, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Skills Required to Learn Hadoop To learn the core concepts of big data and hadoop ecosystem , the two important skills that professionals must know are – Java and Linux.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

JUNE 4, 2015

Hadoop common provides all Java libraries, utilities, OS level abstraction, necessary Java files and script to run Hadoop, while Hadoop YARN is a framework for job scheduling and cluster resource management. 2) Hadoop Distributed File System (HDFS) - The default big data storage layer for Apache Hadoop is HDFS.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

APRIL 11, 2016

How will you scale a system to handle huge amounts of unstructured data? How will you design the Hadoop architecture (explaining how you will store the data) that can help you return top 15 queries made in the last 12 hours. What are sinks and sources in Apache Flume when working with Twitter data?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

MAY 5, 2015

I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. For example I do not care about the history of Java, Oracle, DB2, Autosys, Cron, Unix. I was referred here by a colleague. you get the idea.

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

FEBRUARY 18, 2016

With big data seeping into every facet of our lives, we are trying to build robust systems which can process petabytes of data in a fast and accurate manner. Apache Hadoop, an open source framework is used widely for processing gigantic amounts of unstructured data on commodity hardware.

Hadoop 40

Hadoop Management Metadata Java 40

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. Check Out Apache Hive Real Time Projects to Build Your Portfolio How to use Hadoop?

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

JUNE 9, 2015

The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses. Strike the iron when it is hot… Related Posts How much Java is required to learn Hadoop?

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

SEPTEMBER 26, 2014

Professionals who have learnt Hadoop have now started integrating Hadoop with DW's, analytic tools, web servers, data visualization tools, reporting tools and analytic databases. Sqoop runs a query on the relational databases and exports the resultant rows in one of the file formats like Binary, Text, Sequence files or Avro.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Knowledge Hut

FEBRUARY 7, 2023

Cons GCP has relatively few global data centers across the World compared to other cloud services There are very few customization options available in GCP products such as BigQuery, Spanner, and Datastore. GCP Application Engine is restricted only to languages like Java, Python, PHP, and Google Go only.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

MARCH 21, 2016

Organizations run critical applications on Mainframe systems, which generate huge volumes of data but lack the capability to support novel business requirements of processing unstructured data and also involve huge maintenance costs.

Hadoop 40

Hadoop Insurance Big Data Retail 40

ProjectPro

NOVEMBER 24, 2014

The huge data giants on the web such as Google, Yahoo and Facebook who had adopted Apache Hadoop had to depend on the partnership of Hadoop HDFS with the resource management environment and MapReduce programming. as a platform for creating applications and manipulating data for more effectively and efficiently. A Gist on Hadoop 2.0

Hadoop 40

Hadoop Programming Big Data Unstructured Data 40

ProjectPro

MARCH 16, 2015

Thus, the computing technology and infrastructure must be able to render a cost efficient implementation of: Parallel Data Processing that is unconstrained. Provide storage for billions and trillions of unstructured data sets. The upswing for big data in healthcare industry is due to the falling cost of storage.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

AUGUST 11, 2016

It is said to be one of the most versatile data visualization packages. R has the ability to handle structured and unstructured data and can be integrated with multiple formats of data storage. rmr2 might be a little tedious but it eliminates data movement and helps parallelize computation to handle large datasets.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

MARCH 23, 2015

The partnership among these technologies added value to the processing, managing and storage of Semi Structured, Structured and Unstructured Data in the Hadoop Cluster for these data giants. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects Hadoop 2.2

Hadoop 40

Hadoop Big Data Architecture Metadata 40

ProjectPro

APRIL 4, 2015

Random Job Distribution Coordinate resource management Self managed resources and worker Process Structured and Semi-Structured Data. Process Unstructured Data. There are some other simple ways to debug Hadoop code - The simplest way is to use System.out.println () or System.err.println () commands, available in Java.

Hadoop 40

Hadoop Big Data Recruitment Java 40

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

DECEMBER 10, 2021

You can write Functions in C#, Node, Java, Python, and other languages. Azure Blob storage is a Microsoft storage offering that is meant explicitly for cloud objects and is suitable for holding vast quantities of unstructured data. Explore some real-world Azure projects to strengthen your portfolio.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JULY 30, 2021

It supports PHP, GO, Java, Node,NET, Python, and Ruby. Blob storage provides storing of unstructured data. It uses HTTP/HTTPS to access data from anywhere over the internet. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects How to prepare for a Cloud Computing Job Interview?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40