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

ProjectPro

MAY 31, 2021

To build a big data project, you should always adhere to a clearly defined workflow. A definite purpose of what you want to do with data must be identified, such as a specific question to be answered, a data product to be built, etc., The first crucial step to launching your project initiative is to have a solid project plan.

Big Data 52

Big Data Coding Project Hadoop 52

François Nguyen

MARCH 22, 2021

How do we build data products ? 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.

Technology 130

Technology Architecture Google Cloud Metadata 130

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. AWS Glue then creates data profiles in the catalog, a repository for all data assets' metadata, including table definitions, locations, and other features.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

DECEMBER 19, 2023

It is ideal for cross-platform applications because it is a compiled language with object code that can work across more than one machine or processor. All programming is done using coding languages. Java, like Python or JavaScript, is a coding language that is highly in demand. So, the Java developer’s key skills are: 1.

Java 98

Java Programming Language Architecture Database 98

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

Knowledge Hut

SEPTEMBER 22, 2023

A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

APRIL 22, 2019

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. You only need to maintain one integration to instrument your code and get a future-proof way to send data to over 250 services with the flip of a switch. When is it the wrong choice?

Database 100

Database Cloud NoSQL Scala 100

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. Coding helps you link your database and work with all programming languages.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Ascend.io

MAY 24, 2023

With more than eight years of experience in diverse industries, Sarwat has spent the last four building over 20 data pipelines in both Python and PySpark with hundreds of lines of code. The answer lies in building efficient healthcare data pipelines. The information presented here is a summary of her insights and experiences.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Data Engineering Weekly

MARCH 24, 2023

It leads to a need where a developer should instrument multiple code paths to generate the ride-sharing event. As the developers frequently change the code, it can introduce various bugs in the data generation code. You can find the source code and the documentation here. Oh, wait, all the jargon, what is it?

Engineering 67

Engineering Data Transportation Database 67

Knowledge Hut

JANUARY 9, 2024

It discusses the definition of cloud computing, its evolution, pros, cons, and challenges. 3 Cloud Storage This unit covers cloud storage systems, their concepts, object storage (Ceph, OpenStack Swift, and Amazon S3), databases (DynamoDB, HBase, Cassandra, and MongoDB), and distributed file systems (Ceph FS and HDFS ).

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Knowledge Hut

APRIL 24, 2024

To understand SQL, you must first understand DBMS (database management systems) and databases in general. Whereas, a database refers to a set of small data units organized in a logical order. Example: When building a new users table, it adds a different constraint to the id column. These are DELETE, UPDATE, and INSERT.

SQL 52

SQL MySQL Database Relational Database 52

Knowledge Hut

FEBRUARY 7, 2023

While learning data science we tend to write code, learn new things, we try to develop ourselves by learning new algorithms, statistical methods, and Concepts. Most of the time, we use Google to search for various information like code syntax, math formulas, etc. Keep track of these manipulation, building and evaluation metrics.

Data Science 52

Data Science Python Algorithm Machine Learning 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. Data scientists and data Analysts depend on data engineers to build these data pipelines. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 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

Cloud Academy

JANUARY 27, 2022

Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. What is Big Data Engineering?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 16, 2023

These services form the building blocks of the applications deployed in the cloud. This includes knowledge of building secure and reliable applications using the AWS platform, troubleshooting, disaster recovery, data security practices, deployment of hybrid systems, etc. Amazon Web Services has become an integral part of the IT sector.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Grouparoo

OCTOBER 6, 2021

8 Beware of Silver-Bullet Syndrome Do not build your professional identity on a specific toolset. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Could we do better for Grouparoo? Be adaptable. We handle the "_deleted" table approach already. What does that do? Increase visibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Zalando Engineering

JUNE 30, 2021

This is the result of increased adoption within the company (100+ new applications were written in Kotlin in a year), positive feedback from engineers starting to use it, as well as creation of guidelines, coding standards, reference projects, and service templates by the Zalando Kotlin Guild.

Scala 40

Scala Java Relational Database Consulting 40

Knowledge Hut

JANUARY 30, 2024

Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources. Apache Sqoop: Efficiently transfers bulk data between Hadoop and structured data stores like relational databases, simplifying the process of importing and exporting data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Monte Carlo

AUGUST 8, 2023

The Definitive Guide to Data Validation Testing Data validation testing ensures your data maintains its quality and integrity as it is transformed and moved from its source to its target destination. Step 1: Collect requirements You need to collect requirements before you build or code any part of the data pipeline.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

Edureka

FEBRUARY 7, 2023

6) Which Azure service would you use to build a data warehouse? For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution. The basic units of structured data, which correspond to the rows in a relational database table, are called table entities.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 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. Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) .

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Airbnb Tech

APRIL 13, 2021

At Airbnb, building this foundation made it possible to prioritize savings opportunities and ushered in a wave of cost reductions, summarized in a previous post. Before building anything, establish the requirements for your pipeline. Build for retroactive adjustments. This simplicity makes the downstream tables more usable.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52

Big Data Tools

OCTOBER 5, 2021

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

An interesting nuance: it has a very nice user interface that allows users to build charts and change queries interactively! PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

SEPTEMBER 6, 2023

Candidates should also have experience with operating systems for SAP databases and applications, Infrastructure as code, HADR, backup, security, cloud infrastructure , and data protection. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement. Integration experience is preferred.

Database 52

Database Certification MongoDB MySQL 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. Build Professional SQL Projects for Data Analysis with ProjectPro Also, a fun fact? SQL is the standard programming language for many database systems.

Data Science 52

Data Science SQL NoSQL Programming Language 52

ProjectPro

JANUARY 19, 2022

We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. It involves building pipelines that can fetch data from the source, transform it into a usable form, and analyze variables present in the data. What is the precise reason behind it? What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 16, 2023

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. 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.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rock the JVM

JUNE 20, 2022

After following this post, you will be able to write Scala code to communicate with a database using SQL. using Slick how to use Postgres specific data types using slick-pg how to auto-generate Slick schema from database For this blog, we will build a basic database for movies and related entities.

Scala 40

Scala PostgreSQL Database SQL 40

ProjectPro

FEBRUARY 21, 2023

Professional certifications can offer data engineers a competitive advantage and help them build or advance their careers. A professional certification validates that the individual is a qualified professional, not just someone seeking to build a career in data engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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

AUGUST 11, 2021

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. Learn How to Build a Data Warehouse for an E-commerce Business. What is a Data lake? Recommended Reading: Is Hadoop Going To Replace Data Warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Netflix Tech

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. Besides, the mixed-use of the metadata files and business logic code adds another layer of maintenance complexity. Persistence Layer?—?SKUDB:

Building 83

Building Management Metadata Entertainment 83