Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. So, let's shape the future of Data Engineering together.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

NOVEMBER 2, 2023

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Knowledge Hut

FEBRUARY 27, 2023

A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Data Engineering Podcast

AUGUST 13, 2022

Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Christophe Blefari

APRIL 8, 2023

The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Actually what I cared was physical storage, data formats, logical partitioning or indexing. I still firmly believe that this is not the role of a data engineer. Data modeling should not be a required data engineer skill.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Actually what I cared was physical storage, data formats, logical partitioning or indexing. I still firmly believe that this is not the role of a data engineer. Data modeling should not be a required data engineer skill.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Ripple Engineering

JANUARY 29, 2024

For Ripple's product capabilities, the Payments team of Ripple, for example, ingests millions of transactional records into databases and performs analytics to generate invoices, reports, and other related payment operations.    A lack of a centralized system makes building a single source of high-quality data difficult.

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52

Dataquest

JANUARY 25, 2017

But what about data engineers? A data scientist is only as good as the data they have access to. Most companies store their data in variety of formats across databases and text files. If you’re the type of person that likes building and tweaking systems, data engineering might be right for you.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Process 91

Process Pipeline-centric Media Metadata 91

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Technology 130

Technology Architecture Google Cloud Metadata 130

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The challenges of data. Data facilitates, incentivizes, and challenges AI.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to data lineage visualization (coming soon) Integration with Multiple Data Sources Data lineage tools are designed to integrate with a wide range of data sources, including databases, data warehouses, and cloud-based data platforms.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

SEPTEMBER 26, 2023

The KnowledgeHut Microsoft Data Architect Certification is a valuable credential for people looking to thrive in the field of data design and management, ideally fitting with the industry's changing requirements. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

DataKitchen

NOVEMBER 4, 2021

The typical pharmaceutical organization faces many challenges which slow down the data team: Raw, barely integrated data sets require engineers to perform manual , repetitive, error-prone work to create analyst-ready data sets. It often takes months to progress from a data lake to the final delivery of insights.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Monte Carlo

JANUARY 23, 2024

Read on to hear their predictions for the 5 pillars the industry will be built on in 2024, and their recommendations for how data teams can maximize AI’s current capabilities in the short-term — while laying the groundwork for long-term transformation. Table of Contents Prediction 1: AI will transform data science and engineering.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Monte Carlo

JULY 28, 2022

But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault. Consider this all too familiar story.

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Knowledge Hut

JULY 3, 2023

This process consists of feeding data from various sources and building it to be available for analysis, storage, or next processing. To achieve this goal, pursuing Data Engineer certification can be highly beneficial. What is Real-Time Data Ingestion? Why is Real-Time Data Ingestion Important?

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Knowledge Hut

APRIL 19, 2023

To simplify, application software includes but is not limited to MS Word (a robust word processor), MS Excel (a comprehensive spreadsheet program to work with and organize data), Google Chrome (a leading search engine), etc. Such software is helpful when the current system's operation is not very precise, predictable, and risky.

Database-centric 52

Database-centric Entertainment Education Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

phData: Data Engineering

JULY 18, 2023

Common Limitations from Legacy Data Systems Long Turn-Around Time to Set up Infrastructure: Having large on-premise infrastructure results in a setup that is deeply interconnected and often requires an army of engineers to maintain. Data teams can focus on delivering higher-value data tasks with better organizational visibility.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. These applications are all what software engineers call “CRUD” apps.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

RandomTrees

NOVEMBER 29, 2023

The choice of tools and adopting the right methodologies becomes the drive for any business and in this the selection on the database technologies is very crucial. Having said this, the need to understand all the primary components of a data warehouse and then designing the data vault components is described.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

ProjectPro

JUNE 1, 2017

Datos IO has extended its on-premise and public cloud data protection to RDBMS and Hadoop distributions. Its RecoverX distributed database backup product of latest version v2.0 Cloudera is more inclined on becoming a product centric business with 23% of its revenue coming from services past year in comparison to 31% for Hortonworks.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52