Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering 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

The Modern Data Company

DECEMBER 29, 2022

Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. This means moving beyond product-centric thinking to a data-driven customer experience model that’s consistent across all channels.

Banking 52

Banking Pipeline-centric Building Finance 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. While they might be more experienced than most data engineers, they need a solid understanding of systems design. The target is to gather, design, and then position it into models developed by them or found.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

François Nguyen

MARCH 22, 2021

You are starting to be an operation or technology centric data team. How to build Data Products or never call me Data Pipeline any more You have this interesting schema in her second article on Data Mesh by Zhamak Dehghani : “Data mesh introduces the concept of data product as its architectural quantum.

Technology 130

Technology Architecture Google Cloud Metadata 130

Ascend.io

APRIL 27, 2023

Going into the Data Pipeline Automation Summit 2023, we were thrilled to connect with our customers and partners and share the innovations we’ve been working on at Ascend. The summit explored the future of data pipeline automation and the endless possibilities it presents.

Data Pipeline 52

Data Pipeline Pipeline-centric Data Validation Data Engineering 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. They are different tools with different capabilities, designed to handle different tasks. Yet, the technical problem is the same.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Data Engineering Podcast

APRIL 7, 2019

Summary How much time do you spend maintaining your data pipeline? Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. How does the data-centric approach of DataCoral differ from the way that other platforms think about processing information?

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Snowflake

JUNE 28, 2023

Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview. Simplified streaming pipelines in Snowflake We are expanding our streaming capabilities with Dynamic Tables (public preview). We also announced the private preview of Snowflake CLI.

Pipeline-centric 57

Pipeline-centric Programming Language Python Government 57

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

NOVEMBER 17, 2023

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. The Microsoft Certified Data Engineer is in charge of designing the entire architecture of the data flow while taking the needs of the business into account. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. There is a lot of value to be gained from having data engineers focus on revenue-generating activities rather than troubleshooting data pipeline issues. Siloed Data.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

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

Knowledge Hut

FEBRUARY 6, 2024

Everyone on the team should, at the very least, be able to access test servers, logs, tools, source code, production builds, and postmortem reports whenever they need them. To deliver software more quickly and frequently, speed up your development pipeline. It consists of two pipelines: a CI pipeline and a continuous testing pipeline.

Pipeline-centric 52

Pipeline-centric Database-centric Coding Consulting 52

Data Engineering Weekly

APRIL 16, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Analytical Engineering is the role often quoted for data engineers who do Accessible Analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

SEPTEMBER 17, 2020

For modern data engineers using Apache Spark, DE offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual troubleshooting, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. Job Deployment Made Simple.

Data Pipeline 103

Data Pipeline Data Engineering Data Engineer Engineering 103

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". In this more transparent system, the patients are empowered with information, procedures are re-designed and simplified, and the preferences of patients are incorporated into the treatments.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Data Engineering Weekly

JANUARY 8, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Pipelines for data in motion can quickly turn into DAG hell. Sign up free to test out the tool today.

Data Engineering 40

Data Engineering Data Engineer Engineering Pipeline-centric 40

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. One of the unique features of Atlan is its human-centric design.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

NOVEMBER 27, 2023

At the forefront of cloud technology is the Google Cloud Platform (GCP), a robust and versatile suite of tools and services designed to enable businesses to build, deploy, and scale their applications with ease and efficiency. GCP prioritizes security, and it provides powerful safeguards to secure data and maintain regulatory compliance.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Knowledge Hut

FEBRUARY 6, 2024

Cloud Instead of using your own hard drive, the cloud is a way to store or access your data online. Nowadays, everything is getting migrated to the cloud and may be kept there as well as executed on it or accessed from it. Some of the most popular deployment tools are Azure DevOps Pipelines , Digital.ai

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

Pinterest Engineering

OCTOBER 31, 2023

At Pinterest, we are evolving our compute platform to provide an application-centric and fully managed compute API for the 90th percentile of use cases. Figure 1: High Level Architecture of PinCompute Users access the platform via Compute APIs to perform operations on their workloads.

Architecture 97

Architecture Pipeline-centric Accessible Accessibility 97

DataKitchen

NOVEMBER 4, 2021

DataOps is an open, secure platform that enables anyone granted permission to access data and update the processes and workflows that operate on data. Open, secure platform for anyone to: Access data and analytics. It is expressly designed to minimize the cycle time of translating an idea into high-quality production insight.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Ascend.io

JUNE 21, 2023

Risk Reduction : Data-centric decision-making can also contribute to risk reduction. In the case of data products, these are networks of data pipelines, which makes them an integral part of your modern operational machinery. Let’s begin by looking at the costs of your data pipeline networks in aggregate.

Pipeline-centric 52

Pipeline-centric Data Pipeline Metadata Data 52

Lyft Engineering

APRIL 3, 2023

Specifically, Lyft’s in-house distributed hyperparameter optimization pipeline is used for the majority of its business critical models. That said, in 2020, Lyft moved towards a more user centric approach — preselecting a user’s most frequently used mode. Screenshots are illustrative. May not capture the current experience.

Systems 87

Systems Pipeline-centric Machine Learning Transportation 87

Dataquest

JANUARY 25, 2017

A data scientist is only as good as the data they have access to. This is where data engineers come in — they build pipelines that transform that data into formats that data scientists can use. Your users have an app on their device through which they access your service. Server analytics logs Server access logs.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

JANUARY 30, 2024

The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP). Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g.,

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Grouparoo

OCTOBER 6, 2021

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. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

SEPTEMBER 14, 2023

As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount. Data-Centric Libraries: Python has purpose-built libraries like Pandas, NumPy, and Scikit-learn, tailored for data manipulation, analysis, and machine learning, streamlining data engineers’ workflows.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

JUNE 26, 2023

Application Management Application management expertise is crucial in an Azure-centric ecosystem. Azure Architect An Azure Architect designs & builds secure, scalable, & highly available cloud solutions across Azure & on-premises. Having this knowledge & expertise is fundamental in today's cloud computing landscape.

Cloud Computing 52

Cloud Computing Certification Pipeline-centric Database-centric 52

Knowledge Hut

JANUARY 2, 2024

Features Eggplant can conduct real, user-centric performance testing and is easy to use. Apache JMeter Apache Jmeter is an open-source load testing software based on Java application designed to simulate the application's endurance in real-time scenarios. This function offers a thorough comprehension of the UX impact at scale.

Pipeline-centric 52

Pipeline-centric Java Database-centric Utilities 52

Knowledge Hut

JULY 26, 2023

It provides a wide range of fully managed mobile-centric services, such as authentication, push messaging, analytics, file storage, and NoSQL databases. Makes monitoring activity accessible. There is also a Sketch design file included. Easy deployments Cons: Pricing - more expensive than other modern options. Documentation 4.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

RandomTrees

NOVEMBER 29, 2023

The use of traditional 3 NF of Bill Inmon in the relational model and Ralf Kimball’s Star Schema design for the OLAP would be a bit outdated. So, here the necessary for a more agile model is required and so a data vault model was designed which would fetch the solution using a 3NF and dimensional model together.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

AltexSoft

JUNE 7, 2021

Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. Every three seconds workers send signals to their master to inform it that everything goes well and data is ready to be accessed. High latency of data access.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Ascend.io

NOVEMBER 14, 2023

Conway’s law states that organizations will invariably design systems that mirror their internal communication and organizational structures. All data used for these purposes, be it organizational or customer-centric, must be handled with diligence and subject to the relevant policies.

Pipeline-centric 52

Pipeline-centric Government Data Pipeline Recruitment 52

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Expensive and Often Manual Journey Towards Insights: Reporting is extremely manual and error-prone.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52