Data Engineering Podcast

MARCH 13, 2022

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Data Lake 100

Data Lake Relational Database Data Data Engineering 100

Knowledge Hut

JUNE 30, 2023

A Database Management System is a very prominent software that allows its users to store, organize, and manage enormous volumes of data efficiently and securely. It acts as an interface between the users and the database storing data, providing a seamless and smooth interface to access, change, and display data.

MySQL 52

MySQL Medical Relational Database Healthcare 52

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

ProjectPro

MAY 31, 2021

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., Language Used: SQL Packages/Libraries: Services: Amazon S3, Snowflake, SnowSQL, QuickSight Source Code: Snowflake Real-Time Data Warehouse Project for Beginners 3.

Big Data 52

Big Data Coding Project Hadoop 52

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

Data Engineering Weekly

MARCH 24, 2023

A business process or workflow engine is a software system that enables businesses to execute well-defined steps to complete a user’s intention. Event Sourcing Event sourcing is a system design pattern that writes the current state of the business process into a journal of records.

Engineering 67

Engineering Data Transportation Database 67

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

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: It creates a new column called ‘email_address’ in the ‘users’ database. DROP INDEX Deletes/Removes/Drops an Index.

SQL 52

SQL MySQL Database Relational Database 52

Knowledge Hut

JANUARY 9, 2024

Starting from applications, programming, and administration, it ranges to large-scale distribution systems, which comprise the cloud computing infrastructure. It discusses the definition of cloud computing, its evolution, pros, cons, and challenges.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 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.

Database 100

Database Cloud NoSQL Scala 100

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. In order to maintain this cohort of models, they very much favour simplicity and decoupled code. Models are single files, without any common abstractions.

PostgreSQL 52

PostgreSQL AWS Education Relational Database 52

Knowledge Hut

SEPTEMBER 22, 2023

Azure Data Engineer works on designing, deploying, and managing data management and processing systems on the Microsoft Azure cloud platform. In my opinion, Azure Data Engineer Certification is definitely worth it for people who wish to make a career in this field. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineering Data Engineer Engineering 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

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

Knowledge Hut

DECEMBER 26, 2023

They are required to have deep knowledge of distributed systems and computer science. Database-centric In bigger organizations, Data engineers mainly focus on data analytics since the data flow in such organizations is huge. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

DECEMBER 27, 2023

According to the Wikipedia definition, A programming language is a notation for writing programs, which are specifications of a computation or algorithm ("Programming language"). Cross Platform Compatibility ensures Java can be used on various platforms (Operating Systems) without any compatibility issues.

Programming Language 52

Programming Language Programming Java Scala 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. You can start by making simple cheat sheets for formulae and definitions.

Data Science 52

Data Science Python Algorithm Machine Learning 52

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. Log Data: Extracting log files from systems or applications is crucial for monitoring, troubleshooting, and security analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Cloud Academy

JANUARY 27, 2022

The architecture can include relational or non-relational data sources, as well as proprietary systems and processing tools. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Earlier we mentioned ETL or extract, transform, load.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Confluent

AUGUST 20, 2019

Traditional relational database systems are ubiquitous in software systems. They are surrounded by a strong ecosystem of tools, such as object-relational mappers and schema migration helpers. A tomicity in relational databases ensures that a transaction either succeeds or fails as a whole.

Kafka 21

Kafka Systems Building Relational Database 21

Ascend.io

JANUARY 2, 2024

While it’s true that a data pipeline involves moving data from one location to another, this definition is overly simplistic and doesn’t capture the essence of what sets a data pipeline apart. These are the interfaces where the pipeline taps into various systems to acquire data. In what format will the data be available?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

NOVEMBER 16, 2023

This includes knowledge of building secure and reliable applications using the AWS platform, troubleshooting, disaster recovery, data security practices, deployment of hybrid systems, etc. It includes the best practices used in defining the Information Security Management System (ISMS) for protecting your data and assets.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Grouparoo

OCTOBER 6, 2021

Test system with A/A test. 39 How to Prevent a Data Mutiny Key trends: modular architecture, declarative configuration, automated systems 40 Know the Value per Byte of Your Data Check if you are actually using your data 41 Know Your Latencies key questions: how old is data? Like any good data engineer. What does that do?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Confluent

MAY 29, 2019

We’ll demonstrate using Gradle to execute and test our KSQL streaming code, as well as building and deploying our KSQL applications in a continuous fashion. In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. Managing KSQL dependencies.

Kafka 93

Kafka Management Bytes SQL 93

Knowledge Hut

JUNE 20, 2023

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2023. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

Database 52

Database Java Education Data Collection 52

Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. Systems evolved from simple to complex, and we had to split how we find data from where we store it. This change birthed various specialized databases like columns for numbers, key-values for simple info, and graphs for relationships.

Database 52

Database Certification MongoDB MySQL 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

AltexSoft

JULY 29, 2022

A Hadoop cluster is a group of computers called nodes that act as a single centralized system working on the same task. a client or edge node serves as a gateway between a Hadoop cluster and outer systems and applications. Hadoop distributed file system: write once, read many times approach. What is the size of a Hadoop cluster?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

DECEMBER 17, 2021

SQL is the standard programming language for many database systems. You NEED to master SQL for data science the databases. 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

ProjectPro

FEBRUARY 16, 2023

Even Fortune 500 businesses (Facebook, Google, and Amazon) that have created their own high-performance database systems also typically use SQL to query data and conduct analytics. Data engineers can extract data from a table in a relational database using SQL queries like the "SELECT" statement with the "FROM" and "WHERE" clauses.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 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

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 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Coding abilities: R and Python, two popular scripting languages for scientific data fields, are essential skills for a Data Scientist.

Retail 52

Retail Data Science Computer Science Entertainment 52

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

JANUARY 19, 2022

We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. Ability to demonstrate expertise in database management systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., Big data systems are popular for processing huge amounts of unstructured data from multiple data sources. The complexity of the big data system increases with each data source. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52