Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. It allows for flexibility and ease of maintenance in database systems.

Database Design 52

Database Design Relational Database Metadata Database 52

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. Additionally, it assists in database administration tasks, such as schema management, security settings, and optimization. Microsoft SQL Server: What is DBMS in SQL?

MySQL 52

MySQL Medical Relational Database Healthcare 52

Rockset

DECEMBER 21, 2023

Data modeling in Elasticsearch is not as obvious as it is when dealing with relational databases. Unlike traditional relational databases that rely on data normalization and SQL joins, Elasticsearch requires alternative approaches for managing relationships.

Relational Database 52

Relational Database SQL NoSQL Database 52

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. In my opinion, Azure Data Engineer Certification is definitely worth it for people who wish to make a career in this field.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

APRIL 22, 2019

FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. It is definitely worth a good look for anyone building a platform that needs a simple to manage data layer that will scale with your business. Can you describe the query format?

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

JANUARY 9, 2024

It discusses the definition of cloud computing, its evolution, pros, cons, and challenges. 2 What is Cloud Infrastructure Candidates gain insight into the history of data centers, their components like IT equipment and facilities, along with design considerations like efficiency, power, requirements, redundancy, and more.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. You should be able to work on complex projects and design and implement data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Ascend.io

JANUARY 2, 2024

Recognizing the complexities inherent in this process, we also introduce a framework designed to simplify and streamline the entire pipeline construction process, boosting efficiency and scalability along the way. Select technologies and tools, and design data models that support your objectives, like a star schema for a data warehouse.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Engineering at Meta

OCTOBER 31, 2023

SCARF scans data systems to identify each type of data stored (for example, identifying all the tables in a relational database) and, for each of these, determines whether the data is being used. If any of the assets are not in use, SCARF initiates a process to safely remove them.

Data 93

Data Metadata Coding Relational Database 93

Scott Logic

SEPTEMBER 22, 2023

Definitely one to look into if you’re self-hosting models. PostgreSQL has a ~15% share of the relational database market, meaning that it is incredibly widely used. Also, RWKV , an RNN with capabilities that claim to match those of more modern transformer architectures, has recently joined LF.

PostgreSQL 52

PostgreSQL AWS Education Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Relational and non-relational databases, such as RDBMS, NoSQL, and NewSQL databases. Author Name: This Book is written by Martin Kleppman Publisher's Info: O'Reilly Overview It isn't easy to manage data in its entirety, especially when it comes to system design.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Data engineers design, test and maintain data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 19, 2023

Its ability to simplify scalable solutions design, at the same time offering high-level concurrency tools, gives it an edge over other programming languages. Thus, a Java Full stack developer is the designation used for a web developer who uses Java, a coding language, to develop the entire technology of an application.

Java 98

Java Programming Language Architecture Database 98

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Data Engineering Weekly

MARCH 24, 2023

Event Sourcing Event sourcing is a system design pattern that writes the current state of the business process into a journal of records. CDC high-level design However, CDC has also come up with its own set of problems. Architectural patterns for Data Creation There are three types of architecture patterns in data creation.

Engineering 67

Engineering Data Transportation Database 67

Ascend.io

MAY 24, 2023

Healthcare Data Pipeline Evolution: From SQL to Spark The SQL Era In the early days of our data journey, pipelines were crafted in many mySQL databases. Every data mapping configuration found its home in mySQL tables, with enormous SQL scripts designated for each admin, financial, and clinical dataset. Why Choose This Design Pattern?

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Knowledge Hut

NOVEMBER 16, 2023

You will be introduced to all the basic concepts required to design AWS solutions. AWS Certified Solutions Architect – Associate AWS Solutions Architect certification exam validates your skills in designing distributed applications. It is not a definitive guide containing steps for the migrating process.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Knowledge Hut

FEBRUARY 7, 2023

People with designing and representation skills have created many data science cheat sheets in different languages which are more than sufficient for our beginner requirement. Link: Numpy cheat sheet Algebra : Algebra is one of the important part of data science and machine learning algorithms design and architecture.

Data Science 52

Data Science Python Algorithm Machine Learning 52

Knowledge Hut

JANUARY 3, 2024

Amazon RDS Amazon Relational Database Service (RDS) facilitates the launching and managing of relational databases on the AWS platform. They are made for use as transactional databases and are suitable for storing structured and relational data.

AWS 52

AWS Amazon Web Services Certification Relational Database 52

Knowledge Hut

JANUARY 30, 2024

The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP). Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service.

AWS 98

AWS Scala Metadata Data Lake 98

Grouparoo

OCTOBER 6, 2021

79 The Two Types of Data Engineering and Data Engineers Two types of data engineers: SQL (relational databases) and big data (python, hadoop) 80 The Yin and Yang of Big Data Scalability Complex systems have many knows to be tuned to maximize throughput. What would that look like? Take requests and see how they fit into that.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

François Nguyen

MARCH 22, 2021

To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. This is really for us the definition of a self serve platform.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Knowledge Hut

DECEMBER 26, 2023

Building data systems and pipelines Data pipelines refer to the design systems used to capture, clean, transform and route data to different destination systems, which data scientists can later use to analyze and gain information. Data Engineers use the AWS platform to design the flow of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

So whenever you hear that Process Mining can prepare RPA definitions you can expect that Task Mining is the real deal. The problem of this classic event log approach is that this information is transformed and joined to the Event Log specific to the process it is designed for. This is something we can literally objectify!

Architecture 52

Architecture Database-centric Process BI 52

Knowledge Hut

JULY 7, 2023

To understand more about the basics of relational databases, SQL, and MySQL to perform thorough data analytics through live, interactive sessions, quizzes, assignments, and hands-on projects, you can check out this online SQL course. Let us see how we can design the database for this system. Source Code 2.

SQL 52

SQL Coding Project Hospitality 52

ProjectPro

DECEMBER 17, 2021

NoSQL databases are designed to store unstructured data like graphs, documents, etc., whereas SQL databases deal with structured data in tables. This form of data is structured, mainly stored in the table format with linked entities, and it has been built upon the concepts of relational algebra and tuple calculus.

Data Science 52

Data Science SQL NoSQL Programming Language 52

Edureka

JULY 18, 2023

If you are willing to look for a career in data analytics, you should definitely refer to this video to get a kick start on your career. The company’s platform is helping manufacturers design, automate, and deploy machines more quickly and easily. 6) Oxagile Oxagile is a software development company that was founded in 2005.

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Edureka

FEBRUARY 7, 2023

For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution. It’s a storage service that is designed to store structured data efficiently. Pipelines are the arrangement of activities designed to complete a task simultaneously.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JUNE 20, 2023

Relational databases, with their inherent structure, aid in this process. This is one of the latest research topics in database management systems[9]. Definition Time difference database technology is designed to handle time zone differences in online systems.

Database 52

Database Java Education Data Collection 52

Ascend.io

JANUARY 3, 2023

Interpolating between these views and talking to our customers, we have arrived at a useful definition that lends itself to action. Consequently, data teams can focus on business value, and holistically design, build, and curate data into usable and consumable artifacts. Data as a product is very different from data as an asset.

Data 52

Data Data Lake Business Intelligence Big Data 52

Zalando Engineering

JUNE 30, 2021

As a preparation for wider adoption of Kotlin, we collected internal good practices as well as the definition of tools and libraries for the development of RESTful backend services and Android apps with Kotlin that are recommended as default choices. This can either be achieved in Skipper directly , via Route Groups or Fabric Gateway.

Scala 40

Scala Java Relational Database Consulting 40

ProjectPro

FEBRUARY 16, 2023

Data engineers are responsible for these data integration and ELT tasks, where the initial step requires extracting data from different types of databases/files, such as RDBMS, flat files, etc. and commands for managing databases and tables (CREATE, ALTER, DROP, BACKUP, RESTORE, etc.). And how is it done? By using SQL queries!

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

What Are Database Certifications Database certifications are invaluable credentials for professionals working within database environments as they validate one's proficiency in specific databases, which are akin to specialized tools designed for storing and retrieving critical information.

Database 52

Database Certification MongoDB MySQL 52

Cloudera

NOVEMBER 15, 2021

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. This trend might be explained by increased usage of Ultra High Definition television, and the increased popularity of entertainment streaming services like Netflix.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

ProjectPro

OCTOBER 28, 2015

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

FEBRUARY 21, 2023

Data engineering skills will be crucial for designing and implementing security solutions to safeguard data from breaches and other risks. Three years of professional experience is necessary for this certification, with at least one of those years spent designing and implementing Google Cloud solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52