Knowledge Hut

MAY 23, 2024

2 Databases A Full-stack Developer also needs to be able to work with different databases, such as MySQL, MongoDB, and Cassandra. They need to understand how these databases store data and how to query them efficiently. Language Recommendation Photoshop, HTML, CSS, JAVASCRIPT, PYTHON, ANGULAR, NODE.JS

Computer Science 98

Computer Science Data Science Java Certification 98

ProjectPro

FEBRUARY 1, 2017

Some unknown groups of cyber criminals wiped data from Hadoop and CouchDB databases asking for a ransom fee to return back the stolen files and in some cases , demolishing the data just for fun. This attack took place soon after MongoDB database was hijacked in the beginning of 2017 and data was held for ransom.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

SEPTEMBER 6, 2023

Discover how these certifications can empower your career, from mastering cutting-edge database technologies to ensuring data security and compliance, providing you with a competitive edge in the digital age. MongoDB Associate DBA Exam The associated exam is C100DBA. MongoDB aggregation. MongoDB performance.

Certification 52

Certification Database MongoDB MySQL 52

ProjectPro

SEPTEMBER 16, 2021

Distinguish between MongoDB and MySQL. MongoDB MySQL MongoDB is the right choice when you require high data availability with automatic, quick, and immediate data recovery. If you plan to scale up in the future, MongoDB includes a built-in sharding option. A Stored Procedure is a commonly-used SQL query.

SQL 52

SQL MySQL MongoDB Data 52

Knowledge Hut

MARCH 20, 2024

They may also use MongoDB as the database and Apache as their server. Every styling that is on the webpage, for example, a green theme of MongoDB is given by the CSS. You can choose technologies like AWS or MongoDB. Scalability Opt for choices like MongoDB which provides a comprehensive range of options.

MongoDB 52

MongoDB Programming Language Java Python 52

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Data security and privacy. Ensure data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

SEPTEMBER 6, 2023

Once the data is tailored to your requirements, it then should be stored in a warehouse system, where it can be easily used by applying queries. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

NOVEMBER 7, 2023

One of the most important applications of cloud computing is data backup. Users can use cloud-based backup services to automatically send data from any location over a wired connection. This ensures the backup procedure and data security. Data storage, management, and access skills are also required.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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

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 Machine Learning Business Intelligence 97

Edureka

JULY 16, 2024

MongoDB, Redis) for data modeling, querying, and optimization. This leads to quicker response times for consumers but restricts access to server-side resources and data security. Server-side scripts handle data storage, business logic, and database interactions. Database Management: Experience with SQL (e.g.,

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

ProjectPro

APRIL 17, 2015

Latest Trends in Big Data Analytics Hadoop, NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Edureka

FEBRUARY 9, 2023

A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka. Because companies are increasingly replacing physical servers with cloud services, data engineers must understand cloud storage and cloud computing.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

AltexSoft

NOVEMBER 23, 2021

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. All enterprise data is available through a single virtual layer for different users and a variety of use cases. ETL in most cases is unnecessary.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

OCTOBER 27, 2023

Credit Card Safety Application Credit Card Safety Application is a helpful software engineering project enabling users to manage their credit card data securely and efficiently. The system is created to help businesses enhance their security posture and rescue their assets from unauthorized access and hacking attempts.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Knowledge Hut

NOVEMBER 17, 2023

Azure Services You must be well-versed in a variety of Azure services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Analysis Services, Azure Stream Analytics, and Azure Data Lake Storage, in order to succeed as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 25, 2023

Looker also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications. Key features: Interactive data exploration Real-time reporting Easy data modeling 3.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 26, 2023

To ascertain and address data requirements, they engage with business stakeholders. In order to satisfy company demands, they are also in charge of administering, overseeing, and guaranteeing data security and privacy. One of the most popular ways to store data is in databases, both relational and non-relational.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

FEBRUARY 29, 2024

While some well-known back-end technical stacks are PHP, C, Java, MongoDB, SQL, Python, etc. Creation of data security features to ensure data protection and privacy. Some of the popular front-end technical stacks are HTML, XML, CSS, Angular, React, JSON, jQuery, etc. Troubleshooting, debugging and upgrading the software.

Python 52

Python Recruitment Portfolio Certification 52

ProjectPro

JANUARY 19, 2022

Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. They need to come up with ideas and put them into action.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

U-Next

JUNE 30, 2022

Data security is good with cloud technology: Data may be removed off local disks and maintained on the cloud with just your accessibility if it is a quest, preventing it from getting into the wrong hands. The databases used by the open-source cloud applications are as follows: MongoDB.

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Technology 52

Knowledge Hut

MARCH 5, 2024

You will also be ready for your industry by learning to design and build databases, collect and analyze data, and prepare data models. Earning this data engineer certification will prepare you to solve complex business problems in the field of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Knowledge Hut

JUNE 30, 2023

They are very preferable for applications which come with complex data models, such as today’s multimedia systems, CAD/CAM applications, and scientific research. Examples of object-oriented databases include MongoDB, ObjectDB, and db4o.

MySQL 52

MySQL Medical Relational Database Database 52

Knowledge Hut

APRIL 24, 2024

Credit Card Safety Application Credit Card Safety Application is a helpful software engineering project enabling users to manage their credit card data securely and efficiently. The system is created to help businesses enhance their security posture and rescue their assets from unauthorized access and hacking attempts.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving : Strong problem-solving abilities are crucial for solving complex data challenges and efficient data processing. Data Security and Privacy : Considering the sensitivity of data handled in Big Data projects , it is crucial to have awareness of data security and privacy concerns.

Big Data 52

Big Data Certification Hadoop Kafka 52

Databand.ai

DECEMBER 13, 2022

Matt writes frequently about all things data engineering on his Medium blog , covering everything from data quality and data security to platforms like Snowflake and AWS. He also shares his thoughts on LinkedIn as a regular contributor around topics like AWS, data analytics, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data modeling is a technique that defines and analyzes the data requirements needed to support business processes. What data security solutions does Azure SQL DB provide? E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40