Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance.

SQL 100

SQL PostgreSQL MongoDB Database 100

Knowledge Hut

JANUARY 3, 2024

The data in the relational model is typically kept in the form of tables. However, this data storage is completely independent of how logically these data are structured. This is the Best MongoDB course , which can help you achieve your objective of learning more about tuples if you're considering doing so.

MongoDB 52

MongoDB Relational Database Data Storage Database 52

Knowledge Hut

APRIL 25, 2024

Create data storage and acceptance solutions for websites, especially those that take payments. Knowledge of Databases When working on a project, you must realize that data storage is essential since they contain a lot of information. Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc.,

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

MAY 31, 2023

Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. MongoDB offers a great way to store all types of products’ attributes—structured, semi-structured, and unstructured—all in one place.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

MARCH 27, 2024

Essential in programming for tasks like sorting, searching, and organizing data within algorithms. Examples MySQL, PostgreSQL, MongoDB Arrays, Linked Lists, Trees, Hash Tables Scaling Challenges Scales well for handling large datasets and complex queries. Supports complex query relationships and ensures data integrity.

Database 52

Database Relational Database Algorithm Data Storage 52

Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts. Data storage options.

Certification 52

Certification Database MongoDB MySQL 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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. You can’t just keep it in SQL databases, unlike structured data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MARCH 19, 2015

NoSQL database can be referred to as structured storage which consists of relational database as the subset. NoSQL Database covers a swarm of multitude databases, each having a different kind of data storage model. HBase is used by Twitter for generating data, storing, logging, and monitoring data around people search.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

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. Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform.

Certification 52

Certification Data Engineering Data Engineer Engineering 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. Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

JULY 26, 2023

MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents. Database Software- Document Store (e.g.-MongoDB):

Database 52

Database NoSQL Telecommunication MongoDB 52

Edureka

MARCH 5, 2024

In other words, full stack developers are proficient in both the technologies that power what users see and interact within their web browsers, as well as the technologies that handle data storage, user authentication, and server-side processing behind the scenes. The MERN stack comprises MongoDB, Express.js, React.js, and Node.js.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Knowledge Hut

MARCH 7, 2024

Data analytics tools in big data includes a variety of tools that can be used to enhance the data analysis process. These tools include data analysis, data purification, data mining, data visualization, data integration, data storage, and management.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Monte Carlo

NOVEMBER 20, 2023

But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.

MongoDB 52

MongoDB ETL Tools Database Data 52

Edureka

JULY 16, 2024

They should also perform well in database management by designing SQL or NoSQL awareness to guarantee correct data storage and access. MongoDB, Redis) for data modeling, querying, and optimization. Server-side scripts handle data storage, business logic, and database interactions. Django, Laravel, Express.js

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

Knowledge Hut

MARCH 15, 2024

Normalization: Breaks down data to minimize redundancy and optimize storage. NoSQL: Flexible Storage: Adapts to various data models, allowing diverse data storage. Denormalization: Emphasizes performance by storing redundant data. Document Storage: Stores data in flexible, JSON-like documents.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

OCTOBER 27, 2023

cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, threshold(gray_image, 127, 255, cv2.THRESH_BINARY) THRESH_BINARY) contours, _ = cv2.findContours(thresh, findContours(thresh, cv2.RETR_TREE, RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) boundingRect(max_cnt) else: return None image = cv2.imread("fingerprint.jpg")

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 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. It can add more processing power and storage as the data grows.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

MARCH 14, 2024

Key Technologies Programming languages (Java, Python, C++), databases (MySQL, MongoDB), web development tools, and more. Used in database management for efficient data storage and retrieval. Database Technologies: MySQL, Oracle, MongoDB, etc. Applied in networking for designing and maintaining communication systems.

Computer Science 52

Computer Science Programming Language Electronics MongoDB 52

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

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. In other words, they develop, maintain, and test Big Data solutions. 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

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Very High-Performance Analytics is required for the big data analytics process.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Who should take the certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Edureka

MARCH 5, 2024

Among the well-liked tech stacks are: Mean Stack: MongoDB : A NoSQL database that is adaptable and scalable for managing massive volumes of data because it stores data in a format resembling JSON. MERN Stack: MongoDB: MongoDB is used for data storage, just like in the MEAN stack. Express.js: Express.js

MySQL 40

MySQL MongoDB NoSQL Programming Language 40

Knowledge Hut

NOVEMBER 17, 2023

ETL Processes : Knowledge of ETL (Extract, Transform, Load) processes and familiarity with ETL tools like Xplenty, Stitch, and Alooma is essential for efficiently moving and processing data. Data engineers should be proficient in scripting to automate routine data tasks and workflows. The certification cost is $165 USD.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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

Knowledge Hut

DECEMBER 21, 2023

Different databases have different patterns of data storage. For instance, MongoDB stores data in a semi-structured pattern, Cassandra stores data in the form of columns, and Redis stores data as key-value pairs. Some databases like MongoDB have weak backup ability. It is also horizontally scalable.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Rockset

MAY 10, 2022

However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. With SQL databases, analysts can quickly join, group and search across historical data sets. These use cases would require queries with table joins.

NoSQL 52

NoSQL AWS MongoDB Database 52

Knowledge Hut

APRIL 3, 2023

This includes handling data storage, user authentication, and server configuration. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL. What is Backend Development? for building scalable and efficient web applications.

Programming Language 52

Programming Language Computer Science Portfolio Java 52

Rockset

SEPTEMBER 20, 2022

Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others. Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others.

PostgreSQL 52

PostgreSQL MongoDB SQL Database 52

Knowledge Hut

DECEMBER 19, 2023

Web Storage, on the other hand, is DOM (document object model storage) which is a standard JavaScript API provided by web browsers. A web storage feature means having web applications that allow data storage within the browser on the client side.

Java 98

Java Programming Language Database Architecture 98