ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. Data integration with ETL has changed in the last three decades. Q) Does AWS have an ETL Tool?

AWS 52

AWS Data Management ETL Tools Management 52

Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

Data Integration 98

Data Integration Data Programming Programming Data 98

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. The primary distinction lies in the sequence and location of the data transformation process. What Is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Data Engineering Weekly

MAY 5, 2024

link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management. The granularity of partition creation constrained data consumption.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

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.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

ProjectPro

FEBRUARY 8, 2023

ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Precisely

SEPTEMBER 11, 2023

At Precisely, we recognize the value and potential of AI to help our customers work faster and smarter, and make more powerful, confident decisions grounded in trusted data – supporting our overall mission of unlocking data integrity for organizations of all kinds.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Knowledge Hut

APRIL 23, 2024

Gradually, data storage and processing systems evolved, and today, we see it in one of its most advanced forms, the cloud. These systems hamper data handling to a great extent because errors usually persist. These systems hamper data handling to a great extent because errors usually persist.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Striim

MAY 1, 2024

The sheer volume of data generated from the increasing package deliveries overwhelmed existing data management systems, underscoring a critical need for more advanced data handling capabilities. The absence of real-time data processing capabilities hindered UPS Capital’s risk management and rapid response efforts.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Precisely

NOVEMBER 29, 2023

Organizations should be careful not to automate business processes before considering which data sets those processes impact. Automation increases the potential to create a large volume of bad data very quickly. Digital transformation leverages data and new technologies to drive value through innovation and efficiency.

High Quality Data 64

High Quality Data Data Integration Process Building 64

Knowledge Hut

NOVEMBER 17, 2023

The demand for qualified experts who can make use of Azure's data capabilities, eventually promoting organizational efficiency, innovation, and informed decision-making through efficient data management and analytics, is what motivates employers to hire Azure Data Engineers. Why Do Companies Hire Azure Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 25, 2023

You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company. They guarantee that the data is efficiently cleaned, converted, and loaded.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

The Modern Data Company

APRIL 15, 2024

The Role of a Data Model Explained Think of a data model as the ultimate organizer in the vast library of your company’s data. Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights.

Government 52

Government Metadata Data Data Lake 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

APRIL 23, 2024

Complexity Complexity is governed not just by data size but also by variety, type, speed, processing challenges, and retrieval methods. The more complex your data, the higher the chances of data processing inefficiency. As a result, companies must consider these disadvantages of big data in accounting for costs.

Big Data 52

Big Data Media Government Big Data Skills 52

The Modern Data Company

APRIL 15, 2024

By adopting this product mindset, we make the data process less mysterious and better align it with strategic business goals. It encourages frequent releases based on real-world feedback, transforming data from a static resource into a dynamic asset that drives business growth.

Building 52

Building Raw Data Food Data 52

Knowledge Hut

NOVEMBER 17, 2023

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. Among these, Microsoft Azure stands out as a leader.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 30, 2023

Data engineers are experts who specialize in the design and execution of data systems and infrastructure. They have unique skills, including competence in software engineering, data management, and analytics. Key Benefits and Takeaways: Learn the fundamental principles of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

JULY 26, 2023

What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Precisely

OCTOBER 23, 2023

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.

Data Management 110

Data Management Management Data Data Integration 110

Snowflake

APRIL 5, 2023

To keep the data model in good form, Snowflake allows primary key, foreign key, unique key, and “not null” constraints. However, we may verify the entity relationship and data integrity in the data model using Snowflake Tasks. What is dimensional data modeling? This gives a Data Vault the upperhand in this case.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 72

Data Process Process Raw Data Data 72

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Ascend.io

FEBRUARY 28, 2024

This impact of AI on data engineering is best understood through specific examples: Code and Query Generation AI’s ability to assist in creating and refining SQL queries and Python scripts for data engineering significantly streamlines the development of data processes and analyses.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

DECEMBER 21, 2023

Blockchain data-based cloud data integrity protection mechanism The "Blockchain data-based cloud data integrity protection mechanism" paper suggests a method for safeguarding the integrity of cloud data and which is one of the Cloud computing research topics.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Precisely

JULY 20, 2023

That’s where Precisely Automate comes in – a no-code, low-code solution that helps you accelerate your business processes and improve your data. Use case and demo #1: automating customer master updates How can automating seemingly simple SAP master data processes lead to big results for your business? Let’s dive in.

Process 40

Process Finance Government Coding 40

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Big Query Google’s cloud data warehouse. Data Lake A storage repository where data is stored in its raw format.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. This creates a chaotic data landscape where accountability is elusive and data integrity is compromised.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Data Engineering Podcast

MAY 1, 2022

Summary The predominant pattern for data integration in the cloud has become extract, load, and then transform or ELT. The ecosystems of both cloud technologies and data processing have been rapidly growing and evolving, with new patterns and paradigms being introduced. Visit [link] to learn more.

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Science Blog: Data Engineering

MARCH 5, 2021

Big data has been gradually creeping into a number of industries through the years, and it seems there are no exceptions when it comes to what type of business it plans to affect. Businesses, understandably, are scrambling to catch up to new technological developments and innovations in the areas of data processing, storage, and analytics.

Finance 52

Finance Big Data Banking Algorithm 52