Knowledge Hut

OCTOBER 27, 2023

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. Developing sophisticated machine learning algorithms and secure software systems have the prospect to revolutionize the healthcare industry.

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

Knowledge Hut

MAY 23, 2024

Roles: A Data Scientist is often referred to as the data architect, whereas a Full Stack Developer is responsible for building the entire stack. The main difference between these two roles is that a Data Scientist has tremendous expertise in data analysis and knows how to analyze data.

Computer Science 98

Computer Science Data Science Java Certification 98

ProjectPro

SEPTEMBER 16, 2021

For instance, a data analyst might be working on analyzing vast amounts of sales data for a retail store. This could be time-consuming unless he/she performs SQL join operations and combines multiple tables having similar data. Distinguish between MongoDB and MySQL. Example: Select p1.col1, col2,p 'n'col 'n.'

SQL 52

SQL MySQL MongoDB Data 52

Knowledge Hut

DECEMBER 21, 2023

Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. The average salary for a Big Data engineer career in the US in 2024 is around $132,922 per year. Familiarity with database technologies such as MySQL, Oracle, and MongoDB.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Amazon Web Services (AWS) Databases such as MYSQL and Hadoop Programming languages, Linux web servers and APIs Application programming and Data security Networking.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JUNE 30, 2023

DBMS plays a very crucial role in today’s modern information systems, serving as a base for a plethora of applications ranging from some simple record-keeping applications to complex data analysis programs. MySQL is also popular for its fast interface and is supported on multiple platforms.

MySQL 52

MySQL Medical Relational Database Database 52

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

APRIL 24, 2024

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. Developing sophisticated machine learning algorithms and secure software systems have the prospect to revolutionize the healthcare industry.

Software Engineering 52

Software Engineering Software Engineer Coding Project 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. into HBase, Hive or HDFS.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Knowledge Hut

DECEMBER 28, 2023

Database technology involves storing and retrieving data, such as MySQL and MongoDB. In contrast, Python is a general-purpose programming language for machine learning, data analysis, and web development. A Web Developer course can help you stay at the top of your game.

Programming Language 52

Programming Language Python Certification MongoDB 52

Knowledge Hut

NOVEMBER 28, 2023

and JavaScript used for the back-end Django, Rails, Express, Spring, Laravel, and other back-end frameworks Databases: Oracle, MySQL and MongoDB What Is a Full Stack Development Project? It is critical to understand how data analysis programs operate, and web page visitors are monitored to turn this into an up-and-running live project.

Portfolio 52

Portfolio Project Food Python 52

ProjectPro

NOVEMBER 14, 2015

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Integration 3.Scalability Specialized Data Analytics 7.Streaming

Hadoop 52

Hadoop Project Big Data Healthcare 52

U-Next

AUGUST 23, 2022

Data analysis . However, Django also supports various database engines such as MySQL, Oracle, PostgreSQL, etc. Mysql: [link]. Django also supports MySQL, Oracle, PostgreSQL, MongoDB and NoSQL. That is why many professionals work with this framework. E-commerce platforms·. Machine learning. Oracle: [link].

MySQL 40

MySQL Python PostgreSQL Coding 40

ProjectPro

AUGUST 24, 2021

To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better. So, add a few beginner-level data analytics projects to your resume to highlight your Exploratory Data Analysis skills. Blob Storage for intermediate storage of generated predictions.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JANUARY 31, 2023

Query Surge provides the following benefits: Enhances testing speeds thousands of times while covering the entire data set. Query Surge helps us automate our manual efforts in Big Data testing. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JANUARY 19, 2022

Along with this, you will learn how to perform data analysis using GraphX and Neo4j. Apache Zeppelin Demo Big Data Project for Data Analysis : This project is best for beginners exploring big data tools.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

Currently, as the Associate Director of Platform and DevOps Engineering at MIT, he is focused on marrying the worlds of software engineering, systems automation, and data analysis.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set.

Big Data 52

Big Data Certification Hadoop Kafka 52

AltexSoft

JUNE 26, 2023

The ultimate goal of data integration is to gather all valuable information in one place, ensuring its integrity , quality, accessibility throughout the company, and readiness for BI, statistical data analysis, or machine learning. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

NOVEMBER 15, 2023

Career Objective for Data Scientist Role resumecatstatic.com Example 1: I am a data science professional with experience in data analysis, machine learning, and predictive modeling. I am passionate about data and its potential to impact business decisions.

Finance 98

Finance Certification Database-centric Business Intelligence 98

ProjectPro

JULY 23, 2021

Building Real-Time AWS Log Analytics Solution Log analytics, a typical Big Data use-case, enables you to monitor application availability, detect fraud, and manage service level agreements. In this AWS project, you will create an end-to-end log analytics solution to gather, ingest, and analyze data. How do you create a project in AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

DECEMBER 7, 2021

However, data generated from one application may feed multiple data pipelines, and those pipelines may have several applications dependent on their outputs. In other words, Data Pipelines mold the incoming data according to the business requirements. Additionally, you will use PySpark to conduct your data analysis.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

U-Next

AUGUST 3, 2022

They must organise, integrate, clean, and arrange a sizable amount of data to make it ready for future usage. They demand good knowledge of non-relational databases, including MongoDB, DynamoDB, Casandra, Redis, and Oracle, as well as MySQL, SQL Server, PostgreSQL, Oracle, and others. Data Scientist Skills.

Data Science 52

Data Science Computer Science Retail Entertainment 52

Edureka

JANUARY 2, 2025

Among its well-known frameworks are Django and Flask, which offer substantial libraries for machine learning, data analysis, and other areas. Database Management System Relational Databases: MySQL: An open-source relational database system widely used for its reliability and efficiency. extensively utilized in business settings.

Java 52

Java MongoDB NoSQL Relational Database 52