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. Self-evaluation needs to be present. Data Engineer The design, building, and management of the data infrastructure that underpins data-driven applications are the responsibilities of a data engineer.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 27, 2023

If you are interested in a marketing career, it will undoubtedly present you with rewarding commercial opportunities. A Financial Analyst's role is gathering data, organizing info, analyzing results, recommending, and creating Excel Models, presentations and various reports.

Banking 52

Banking Recruitment Finance Portfolio 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

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Knowledge Hut

MARCH 19, 2024

RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases). Case Study - 6: Transforming Healthcare Staffing The customer's outdated application presented difficulties. Zipnosis is in an excellent position to move forward.

AWS 52

AWS Amazon Web Services Hospitality 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.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 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 Data Storage 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. It also makes a strong case for data archiving as it enables analytics on archived data.

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MAY 26, 2015

You can click on the link below to listen to the recording of the recent webinar on “How IoT leverages Hadoop” presented by Garima Batra. Big Data and the Internet of Things (IoT) are two of the biggest tech waves that revolutionizing the way we live and work.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 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

DECEMBER 7, 2016

Hive and HBase are both data stores for storing unstructured data. HBase is a NoSQL database used for real-time data streaming whereas Hive is not ideally a database but a MapReduce based SQL engine that runs on top of hadoop. Ideally comparing Hive vs. Flipboard uses HBase to personalize the content feed for its users.

Technology 40

Technology NoSQL Hadoop Data Mining 40

AltexSoft

MAY 14, 2021

as data is being generated ? and any discoveries are presented almost instantaneously. 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

APRIL 1, 2016

(Source: [link] ) Commvault Software, is enabling big data environments in Hadoop, Greenplum and GPFS. NetworkAsia.net Commvault’s eleventh software release is all about enhancing its integrated solutions portfolio to better support Big Data initiatives. March 20, 2016. Computing.co.uk March 31, 2016.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

ProjectPro

AUGUST 26, 2015

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. Truskowski. Let us know in comments below!

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

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 Relational Database AWS 52

ProjectPro

JANUARY 24, 2023

Google BigQuery holds a 12.78% share in the data warehouse market and has been rated a leader by Forrester Wave research in 2021, which makes it a highly popular data warehousing platform. This blog presents a detailed overview of Google BigQuery and its architecture. What’s more? What is Google BigQuery Used for?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

OCTOBER 15, 2014

Generally data to be stored in the database is categorized into 3 types namely Structured Data, Semi Structured Data and Unstructured Data. We generally refer to Unstructured Data as “Big Data” and the framework that is used for processing Big Data is popularly known as Hadoop.

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

NOVEMBER 30, 2021

Cloud storage is the best option for storing all the processed data, and it is secure and easily accessible, and no infrastructure is required. It is the most feasible option when the data size is huge. For instance, specify the list of country codes allowed in a country data field. The data is present in CSV file format.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

MARCH 17, 2021

The word “deep” in deep learning refers to the number of hidden layers present in a neural network. Deep learning models usually perform Classification tasks directly from sound, text, or images (unstructured data). Build a Job-Winning Data Science Portfolio.

Deep Learning 52

Deep Learning Machine Learning Algorithm Data Science 52

AltexSoft

MAY 5, 2023

Revenue management teams can anticipate future demand more accurately, and therefore predict the optimal pricing model for their entire portfolio — across all channels, in real-time.” This reduces the need for on-site visits while maintaining high-quality standards across property portfolios. ” Way to tackle the problem.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. The present day RDBMS are perfect for querying structured data and people are well acquainted with their technicalities.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

ProjectPro

MARCH 21, 2016

The information present in Mainframes is highly critical, such as healthcare records, ATM transactions, package tracking information, credit card records, etc. It is much trendier to have mainframe development programming skills along with Hadoop skills, on your resume - to land a top gig as a big data professional.”

Hadoop 40

Hadoop Insurance Big Data 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

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Every domain of machine learning presents its challenges and solutions.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

SEPTEMBER 11, 2015

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? Hadoop still has a long way to go when it comes to presenting clean and readable data solutions. Hadoop has now been around for quite some time.

Hadoop 52

Hadoop Java BI Big Data 52

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. Sales forecasting helps business owners get a clear idea of what products are in demand.

Machine Learning 52

Machine Learning Project Datasets Algorithm 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. TCS Hadoop Developer Interview Questions What is the difference between data and big data?

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

ProjectPro

AUGUST 11, 2021

Data lakes support data with various formats and unknown schemas like flat files, weblogs and other structures. The data captured by a data lake does not necessarily have to be of immediate use but may be stored in the data lake for future use. A Data lake cannot be a direct replacement for a data warehouse.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

APRIL 17, 2015

Google’s latest deep learning system built on recurrent neural networks aims to identify motion in videos and interpret various objects present in the video by feature pooling networks. Deep learning involves ingesting big data to neural networks to receive predictions in response.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 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

JULY 30, 2021

Oracle Cloud and IBM cloud are present as market competitors as well. Edge Computing is done at a centralised place with resources present locally. Cloud front is a Content delivery network developed by amazon that delivers data with high speed and low latency globally through its worldwide web of data centres.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 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