Data Engineering Podcast

FEBRUARY 27, 2022

Summary Building a data platform is a complex journey that requires a significant amount of planning to do well. In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices. That’s Timescale.

Designing 100

Designing Metadata Data Lake Relational Database 100

Knowledge Hut

FEBRUARY 29, 2024

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. So, having the right knowledge of tools and technology is important for handling such data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Engineering at Meta

OCTOBER 31, 2023

Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing unused data types. SCARF scans production data systems to identify tables or assets that are unused and safely removes them. Each represents a class of data — not individual records.

Data 93

Data Metadata Coding Relational Database 93

Knowledge Hut

MARCH 12, 2024

SQL databases are one of the most widely used types of database systems available. SQL is a structured query language that these databases enable users to utilize for data management, retrieval, and storage. A number of SQL databases are available. However SQLite is one of the most widely used.

SQL 52

SQL Relational Database PostgreSQL MySQL 52

Knowledge Hut

JULY 24, 2023

In the world of databases, data independence plays a vital role in making sure the flexibility and adaptability of database systems. Data independence tells us about the ability to modify the database schema or organization without affecting the applications that use the data.

Database Design 52

Database Design Relational Database Metadata Database 52

Knowledge Hut

APRIL 25, 2024

This programming language is used for general purposes and is a robust system. Data Structures and Algorithms In simple terms, the way to organize and store data can be referred to as data structures. In addition, it is required in a database to keep track of the users' responses. Put the system logic in order.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Hevo

MARCH 2, 2023

Data is an organization’s most important asset in the world today. Businesses need to efficiently store, handle, and analyze the growing amounts of data they produce. This article will explore the two prominent data storage systems organizations use: Hive and PostgreSQL.

PostgreSQL 52

PostgreSQL Relational Database Data Storage Database 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JULY 24, 2023

In this digital age, data is king, and how we manage, analyze, and harness its power is constantly evolving. Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. To kick-start your career in database management, you can take the best database courses.

Database 52

Database NoSQL Management Relational Database 52

Precisely

JANUARY 25, 2024

The transition from mainframe systems to a cloud-first strategy can be complicated. Migrating applications and data are potentially expensive, time-consuming, and fraught with risk. Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems.

Metadata 67

Metadata Data Governance Relational Database Government 67

Knowledge Hut

NOVEMBER 17, 2023

The demand for data-related professions, including data engineering, has indeed been on the rise due to the increasing importance of data-driven decision-making in various industries. Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? cost-effectiveness.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Databand.ai

JUNE 22, 2023

Ryan Yackel June 22, 2023 What Is Data Integrity? Data integrity is concerned with the accuracy, consistency, and reliability of data stored in databases or other data storage systems. Entity integrity: Ensures each row in a database table is uniquely identifiable.

Data Integration 52

Data Integration Medical Healthcare Education 52

Monte Carlo

JANUARY 5, 2024

You know what they always say: data lakehouse architecture is like an onion. …ok, Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. Storage layer 3. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Contents: Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

MARCH 20, 2024

A software engineer is a specialist who works on software systems, including their design, development, testing, and management. This ensures compatibility across various operating systems, devices, applications, and browsers. Combining databases and data sources into a single system. Who is a Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

OCTOBER 3, 2023

In today's world, data reigns supreme as the ultimate asset. Businesses can significantly improve their decision-making processes when they collect and analyze the right and relevant data. Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

U-Next

AUGUST 10, 2022

IT jobs, as you know, are bagging the fattest pay cheques lately, and the same holds for the Data Engineer role. More individuals and strategies are emerging to manage this data correctly as data generation increases globally. The idea of a Data Engineer is now relevant. What does a Data Engineer do? Introduction.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

MARCH 14, 2024

Do you want a database system that can scale quickly and manage heavy workloads? Should that be the case, Azure SQL Database might be your best bet. Microsoft SQL Server's functionalities are fully included in Azure SQL Database, a cloud-based database service that also offers greater flexibility and scalability.

Database 52

Database SQL Relational Database BI 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Grouparoo

DECEMBER 26, 2021

For data storage, the database is one of the fundamental building blocks. There are many kinds of databases available, each with its strengths and weaknesses. This includes the database vendor, underlying operating system, and the hardware infrastructure components.

Database 52

Database NoSQL Relational Database Data Storage 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Ascend.io

JANUARY 2, 2024

Getting your hands on the right data at the right time is the lifeblood of any forward-thinking company. But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. What Is a Data Pipeline? But our journey doesn’t end there.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Table of Contents Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Identity and Access Management (IAM) is a set of solutions that helps users/companies protect access to their resources and applications on the cloud as well as the corporate data center. For instance, Azure VMs are highly scalable and enable users to run multiple operating systems like Mac, Windows, or Linux.

Data Lake 52

Data Lake Programming Language Certification Java 52

Knowledge Hut

APRIL 24, 2024

FCL has an open-source user interface with easy data access and database connectivity. Azure complements the Microsoft systems super well. These services handle their processes and maintain a connected and integrated system with the help of HTTP or any other lightweight design. How To Become a.NET Developer?

NoSQL 59

NoSQL AWS Cloud Google Cloud 59