ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need. There is a choice when writing this data to the data lake.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

JUNE 18, 2015

Crowdsourcing has gained significance as an interesting practice for yielding meaningful insights from big data. Crowdsourcing has eased the process of performing tasks that are hard to crack for computers including audio transcriptions, sentiment analysis, document summaries, document editing, entity resolution and image annotation.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

JUNE 6, 2015

And this takes time, as there is no option of getting the data to the end-user in real-time. For example, say we get a project on analyzing Twitter data. In terms of Business Alignments, we have to stick to the data and after that, we have to supply internal architecture. This gives a lot of possibilities to analyse data.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

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. The use of data has risen significantly in recent years.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

MARCH 20, 2024

Usually working in groups, software engineers collaborate with designers, project managers, and quality assurance specialists. Using a variety of communication platforms and channels, including chat, email, video calls, and documentation, is another skill that an SDET should possess.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

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). Challenge Sunsetting technology put this project on a surged timeline. It is the perfect fit for complex daily database requirements that are OLTP/transactional.

AWS 52

AWS Amazon Web Services Hospitality Cloud Computing 52

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? 10+ Real-Time Azure Project Ideas for Beginners to Practice Access Job Recommendation System Project with Source Code Why Should Students Work on Big Data Analytics Projects ?

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 11, 2021

Metadata contains information such as the source of data, how to access the data, users who may require the data and information about the data mart schema. Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. It is not very scalable compared to other platforms Lack of proper documentation H2O.AI

Data Science 52

Data Science Google Cloud AWS Programming Language 52

AltexSoft

MAY 14, 2021

Besides, it is not just business users and analysts who can use this data for advanced analytics but also data science teams that can apply Big Data to build predictive ML projects. It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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 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? petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

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

JUNE 26, 2015

Big data companies are busy discovering novel big data solutions to make the best out of big data analytics to grow their businesses. IBM Watson consumes tons of unstructured data from – recipes, chemical compounds, food pairings, academic studies, tweets, and books. “Watson amplifies human creativity.

Big Data 40

Big Data Food Unstructured Data Retail 40

ProjectPro

DECEMBER 10, 2021

Where can I find Azure projects/project ideas to enhance my skills? Every cloud service project contains a cscfg file, essentially a cloud service configuration file generated by the cspack tool. Unstructured data, such as text or binary data, does not correspond to a specific data model or description.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JULY 30, 2021

Credits- Amazon official Documentation Cloud Computing Interview Questions for Experienced 1. Elastic Beanstalk provides Amazon AWS resources like EC2 and builds the supported platform for the project to run. Blob storage provides storing of unstructured data. Here is the final architecture diagram.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

DECEMBER 22, 2016

Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis begins with a question or an assumption. Data Mining depends on clean and well-documented data. Data analysis involves data cleaning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

APRIL 4, 2015

” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Document each and every step of your efforts in the Hadoop Developer Resume This is possibly one of the most important areas where you should focus on. Get some friends to work on the project with you.

Hadoop 40

Hadoop Big Data Recruitment Java 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. What do the four V’s of Big Data denote?

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

Snowflake

DECEMBER 14, 2023

Whereas the existing portfolio of AI tools had targeted the more technically minded like data scientists and engineers, new tools like ChatGPT handed the keys to the kingdom to anyone who could type a question. “We In the future, the tool can also scan regulation and provide the necessary documentation for the shipment.

Pharmaceutical 98

Pharmaceutical Food Government Transportation 98

AltexSoft

DECEMBER 15, 2021

AutoML objectives and benefits overlap with those of MLOps — a broader discipline with focus not only on automation but also on cross-functional collaboration within machine learning projects. Applying AutoML instead of the conventional, manual approach enabled the company to launch 60 ML projects utilizing 3,000 models in just three weeks.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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! While only 5.4%

Hadoop 40

Hadoop Big Data Data Mining Retail 40