ProjectPro

JUNE 6, 2025

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. For example, C, C++, Go, Java, Node, Python, Rust, Scala , Swift, etc.

MongoDB 40

MongoDB Coding Project NoSQL 40

ProjectPro

JUNE 6, 2025

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. With Apache Spark and Machine Learning algorithms, this use case of unstructured data has been solved easily.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

ETL Data Engineers work with different data formats, such as structured, semi-structured, and unstructured data, and ensure that pipelines are efficient, scalable, and optimized for performance. This includes understanding database management, with a focus on SQL (Structured Query Language) and NoSQL databases.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Data Engineering Project You Must Explore Once you have completed this fundamental course, you must try working on the Hadoop Project to Perform Hive Analytics using SQL and Scala to help you brush up your skills. AWS, Azure, Google Cloud), machine learning algorithms/models, big data technologies (e.g., SQL, NoSQL).

Data Engineer 40

Data Engineer Data Engineering Cloud Engineering 40

ProjectPro

JUNE 6, 2025

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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format. Database tools/frameworks like SQL, NoSQL , etc., GraphX is an API for graph processing in Apache Spark.

Data Engineer 40

Data Engineer Data Engineering Engineering Kafka 40

AltexSoft

JUNE 7, 2021

Data storage options. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Its in-memory processing engine allows for quick, real-time access to data stored in HDFS. Alternatively, you can opt for Apache Cassandra — one more noSQL database in the family.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 26, 2023

In other words, they develop, maintain, and test Big Data solutions. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. What is COSHH?

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value. SQL, NoSQL, and Linux knowledge are required for database programming.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

NOVEMBER 28, 2023

With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. Introduction. Conclusion.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

NOVEMBER 5, 2014

MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

SEPTEMBER 9, 2021

Hive , for instance, does not support sub-queries and unstructured data. It is also not a suitable choice for real-time online transaction processing applications.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

DECEMBER 29, 2023

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 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 Relational Database NoSQL 52

ProjectPro

JUNE 6, 2025

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 40

Data Engineer Data Engineering Engineering Certification 40

ProjectPro

JANUARY 19, 2022

Data engineering is a new and ever-evolving field that can withstand the test of time and computing developments. Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

JUNE 6, 2025

Data Analysis Tools- How does Big Data Analytics Benefit Businesses? Big data is much more than just a buzzword. 95 percent of companies agree that managing unstructured data is challenging for their industry. Big data analysis tools are particularly useful in this scenario. and web services.

Data Analysis Tools 40

Data Analysis Tools Data Analysis BI R (Programming) 40

Knowledge Hut

APRIL 26, 2024

Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science? In order to discover insights and then analyze multiple structured and unstructured data, Data Science requires the use of different instruments, algorithms and principles.

Data Science 52

Data Science Hadoop Programming Language Machine Learning 52

ProjectPro

JUNE 6, 2025

Open-Source Projects for Data Engineers Here are a few open-source projects in data engineering that you can contribute to. 36) Apache Spark Apache Spark is an open-source, distributed computing system designed to process large amounts of data in a parallel and fault-tolerant manner.

Data Engineer 52

Data Engineer Data Engineering Project Engineering 52

Knowledge Hut

JUNE 16, 2023

Data preparation: Because of flaws, redundancy, missing numbers, and other issues, data gathered from numerous sources is always in a raw format. After the data has been extracted, data analysts must transform the unstructured data into structured data by fixing data errors, removing unnecessary data, and identifying potential data.

Programming Language 52

Programming Language Cloud Computing Data Analytics Data Science 52

ProjectPro

JUNE 6, 2025

Source: query.prod.cms.rt.microsoft.com/cms The certification covers fundamental data concepts and Microsoft Azure data services. Data Storage- Exploring various data storage options, including Azure SQL Database, Azure Cosmos DB , Azure Blob Storage , and Azure Data Lake Storage.

Certification 40

Certification Cloud Cloud Computing SQL 40

ProjectPro

NOVEMBER 14, 2015

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. Hadoop Sample Real-Time Project #8 : Facebook Data Analysis Image Source:jovian.ai

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

MARCH 20, 2024

They are responsible for establishing and managing data pipelines that make it easier to gather, process, and store large volumes of structured and unstructured data.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Edureka

JANUARY 18, 2024

For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Data science is the study of data to extract knowledge and insights from structured and unstructured data using scientific methods, processes, and algorithms.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

MAY 23, 2024

It caters to various built-in Machine Learning APIs that allow machine learning engineers and data scientists to create predictive models. Along with all these, Apache spark caters to different APIs that are Python, Java, R, and Scala programmers can leverage in their program. Business Intelligence Data Science Tools 24.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Edureka

MAY 27, 2025

AWS Glue Dev Endpoint serves as a development interface that enables users to develop, test, and debug ETL scripts interactively using PySpark or Scala. In the realm of data engineering, the Dev Endpoint enhances the development and debugging workflow, thereby boosting the efficiency of ETL script creation.

AWS 40

AWS Data Engineer Data Engineering Engineering 40

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn. Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

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. Unstructured data, such as text or binary data, does not correspond to a specific data model or description. Explain Azure Blob storage.

BI 40

BI Cloud Computing SQL Database 40

AltexSoft

JULY 29, 2022

As a result, today we have a huge ecosystem of interoperable instruments addressing various challenges of Big Data. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. Python and R are essential for data analysts; and.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

DECEMBER 10, 2021

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. Unstructured data, such as text or binary data, does not correspond to a specific data model or description. Explain Azure Blob storage.

BI 52

BI Cloud Computing SQL Database 52