Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB MySQL 98

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? I am here to discuss MongoDB job opportunities for you in 2024 and the wide spectrum of options that it provides. But first, let’s discuss MongoDB a bit. MongoDB is the fourth most popular Database Management System (DBMS). Elevate your expertise with top-tier MongoDB courses online.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 6, 2025

Data Science Roles - Top 4 Reasons to Choose Choosing data science as a career serves several benefits: Growth: According to the IBM report, there were about 2.7 million available positions in data analysis, data science, and related fields. They also help data science professionals to execute projects on time.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Security and Data Privacy Big Data Developers work closely with data protection officers to implement robust security measures, encryption, and access controls to safeguard data. Analysis of Vast Data Stores Big Data Developers use data mining and analysis tools to analyze vast and diverse data stores.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Reddit, being a vast community-driven platform, provides a rich data source for extracting valuable insights.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

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. Sqoop is not event-driven.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

An ETL (Extract, Transform, Load) Data Engineer is responsible for designing, building, and maintaining the systems that extract data from various sources, transform it into a format suitable for data analysis, and load it into data warehouses, lakes, or other data storage systems.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

AltexSoft

MAY 14, 2021

Any irrelevant or flawed data needs to be removed or taken into account. Several data quality tools can detect any flaws in datasets and conduct cleansing activities on them. Data analysis. To make sense of the huge amounts of data, there are several techniques and practices. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Knowledge Hut

JANUARY 23, 2024

Python: Python is a type of programming language that is mainly used in the development of websites and apps, automation, and data analysis. SQL: In a relational data management system, data extraction and structuring are done using the programming language SQL. NPM: The package manager specifically made for Node.js

MongoDB 98

MongoDB Programming Language Java MySQL 98

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 Business Intelligence Data Mining 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 Telecommunication MongoDB 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

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

DECEMBER 21, 2023

NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Different databases have different patterns of data storage. Some databases like MongoDB have weak backup ability.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. Apart from data analysis, it can also help in machine learning projects.

Data Science 52

Data Science MongoDB Programming Language BI 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Big Data Analysis Companies can acquire new insights and optimize business processes by harnessing the computing power of cloud computing. Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 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

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloud Academy

JANUARY 27, 2022

Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 17, 2015

A big-data resume with Hadoop skills highlighted on the list will attract employer’s attention immediately. 2) NoSQL Databases -Average Salary$118,587 If on one side of the big data virtuous cycle is Hadoop, then the other is occupied by NoSQL databases. from the previous year.

Cloud Computing 40

Cloud Computing Big Data Cloud R (Programming) 40

Knowledge Hut

OCTOBER 27, 2023

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

Edureka

AUGUST 27, 2024

It helps businesses by making sure that their data is always available and can handle lots of users from different locations. Multi-API Support: Cosmos DB works with different APIs, which are like special tools for interacting with data. You can use tools like SQL or MongoDB depending on what you need. Is Cosmos DB SQL or NoSQL?

NoSQL 40

NoSQL MongoDB SQL Database 40

ProjectPro

JUNE 6, 2025

This gap presents a golden opportunity for professionals skilled in data-driven decision making. From optimizing warehouse logistics to minimizing supply risks, data-driven supply chains outperform traditional models.

Data Science 40

Data Science Project Management Transportation 40

ProjectPro

NOVEMBER 10, 2016

The most in-demand job opportunities for professionals in the big data market are Hadoop developers, Hadoop admins,experts in Python and NoSQL. 5) 28% of Hadoopers possess NoSQL database skills. The kind of big data stored in Hadoop does not have a pre-defined schema or rather has a dynamic schema.

Hadoop 52

Hadoop NoSQL Java Electronics 52

ProjectPro

JUNE 6, 2025

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 Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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 Electronics 52

Edureka

FEBRUARY 8, 2024

Batch Processing- C-Series instances excel in scenarios that involve batch processing, where large amounts of data need to be processed in parallel. This is beneficial for tasks like data transformation, data cleansing, and data analysis.

AWS 52

AWS NoSQL Deep Learning Machine Learning 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 Engineering 52

Data Engineering Data Engineer Python Engineering 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. Sqoop is not event-driven.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Knowledge Hut

MAY 4, 2023

Data engineering is all about data storage and organizing and optimizing warehouses plus databases. It helps organizations understand big data and helps in collecting, storing, and analyzing vast amounts of data, using technical skills related to NoSQL, SQL, and hybrid infrastructures.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

Knowledge Hut

JUNE 20, 2023

Data Engineer vs Machine Learning Engineer: Responsibilities Data Engineer Responsibilities: Analyze and organize unstructured data Create data systems and pipelines. Analyze trends and patterns Conduct in-depth data analysis, then present the findings. Assemble data for predictive and prescriptive modeling.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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

Edureka

JANUARY 18, 2024

Data Exploration and Preprocessing Before delving into complex analyses, thorough exploration and meticulous preprocessing are required to ensure the data’s quality and suitability for further investigation. Exploratory Data Analysis (EDA Learn how to summarize and visualize data to identify trends and connections.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop Relational Database AWS 52