Knowledge Hut

JUNE 20, 2023

Search-Based Discovery Tools Search-based discovery tools allow users to utilize search terms in order to create and improve views and perform analysis of both structured and unstructured data. Business analysts perform the process of making a portfolio of potential candidates who may prove to be an asset to the company.

Business Analyst 52

Business Analyst Banking Unstructured Data Cloud Computing 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Optimizing resource utilization is crucial.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

JUNE 26, 2023

Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project. What are Data Engineering Projects? You should be able to identify potential weak spots in data pipelines and construct robust solutions to withstand them.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MARCH 26, 2024

Drives efficiency and cost-effectiveness through optimized infrastructure designs and resource utilization. Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Hive , for instance, does not support sub-queries and unstructured data.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

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

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

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

Knowledge Hut

JULY 26, 2023

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. ETL is the acronym for Extract, Transform, and Load.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 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

AltexSoft

MAY 5, 2023

AI-powered pricing algorithms can analyze factors such as historical booking data, seasonal trends, local events, and competitor pricing to recommend optimal nightly rates for rental properties. This reduces the need for on-site visits while maintaining high-quality standards across property portfolios.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons “–says, Fabrizio Biscotti, research director at Gartner.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

AltexSoft

MAY 14, 2021

Data generated from various sources including sensors, log files and social media, you name it, can be utilized both independently and as a supplement to existing transactional data many organizations already have at hand.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

AltexSoft

JUNE 7, 2021

Hive, created at Facebook is a kind of query engine, utilizing the query-processing language Hive QL, that is also very similar to SQL. Main users of Hive are data analysts who work with structured data stored in the HDFS or HBase. Data management and monitoring options. Issues with small files.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

JANUARY 24, 2023

Additionally, columnar storage allows BigQuery to compress data more effectively, which helps to reduce storage costs. BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

JULY 3, 2015

SAP intends to develop a deeper integration with Apache Hadoop by using Apache Spark as the data filtering mechanism.Apache Spark can be used as in-memory analysis and data streaming platform (intelligent processing engine) for speeded up data access in Hadoop. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JULY 27, 2021

Complex algorithms, specialized professionals, and high-end technologies are required to leverage big data in businesses, and big Data Engineering ensures that organizations can utilize the power of data. SQL works on data arranged in a predefined schema. Veracity: the quality of the data to be analyzed.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). Modern cybersecurity systems are utilizing machine learning methods a lot. Spam email detecting systems are one of them.

Machine Learning 52

Machine Learning Project Datasets Algorithm 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

Knowledge Hut

FEBRUARY 7, 2023

Integrate multiple data science tools The most important feature of these platforms is integrating all the tools in one place so that all the work like data cleaning, analysis, modeling, and deployment can be done with ease, and also this will fasten the process. In this way, the project will attract even more customers.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

MAY 13, 2016

Hadoop and data warehouse technologies are optimized for various business requirements and can be used collectively, based on how they best fit the business use case. Using a Hadoop-only strategy can prove to be dangerous for any business’s data needs.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

AltexSoft

DECEMBER 15, 2021

Applying AutoML instead of the conventional, manual approach enabled the company to launch 60 ML projects utilizing 3,000 models in just three weeks. The software will make this choice itself, picking from the existing portfolio of options the one fitting your task best. Algorithm selection.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

MARCH 23, 2016

So, let’s have a look at the four important libraries of Hadoop, which have made it a super hero- Hadoop Common – The role of this character is to provide common utilities that can be used across all modules. Hadoop is not popular for its processing speed in dealing with small data sets. What is Hadoop used for?

Hadoop 40

Hadoop IT 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

MAY 8, 2015

We are producing huge amount of big data ranging from our online purchases on e-commerce websites, our social interactions, financial activities, energy utilization, driving activities, online marketing campaigns and online petitions.

Big Data 40

Big Data Retail Unstructured Data Banking 40

ProjectPro

JANUARY 27, 2016

Whenever there is excess swap memory utilization, memory usage should be optimized by configuring the mapred.child.java.opts property by reducing the amount of RAM that is allotted to each task in mapred.child.java.opts. However, the major roadblock in obtaining maximum performance from a hadoop cluster is its core hardware stack.

Hadoop 40

Hadoop Big Data Unstructured Data Portfolio 40

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects PREVIOUS NEXT <

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

MAY 5, 2015

=Shailesh Kurdekar Solutions Architect at Capital One Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization "Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets.

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

DECEMBER 10, 2021

Source: Microsoft Azure docs By launching a cloud service instance, Azure cloud services can be utilized to implement multi-tier web-based apps in Azure. 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.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

MARCH 14, 2014

In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses?

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 11, 2016

R has the ability to handle structured and unstructured data and can be integrated with multiple formats of data storage. There is also an extensive library of tools that can be utilized for database manipulation and wrangling.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

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