Data Engineering Podcast

NOVEMBER 10, 2021

Summary A significant source of friction and wasted effort in building and integrating data management systems is the fragmentation of metadata across various tools. After experiencing the impacts of fragmented metadata and previous attempts at building a solution Suresh Srinivas and Sriharsha Chintalapani created the OpenMetadata project.

Metadata 100

Metadata Data Warehouse Data Lake BI 100

François Nguyen

MARCH 22, 2021

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. We are Data Teams versus we have to patch the server with the latest version and do the tests.

Technology 130

Technology Architecture Google Cloud Metadata 130

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. Table of Contents What is data lakehouse architecture?

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

LinkedIn Engineering

APRIL 25, 2023

Though this microservice architecture has worked out really well for our API engineers, when our clients need to fetch data they find themselves talking to several of these microservices. Addressing partial failures and resilience issues due to multiple network calls in the distributed microservices architecture.

Architecture 109

Architecture Metadata Java Transportation 109

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. Table of Contents What is data lakehouse architecture?

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Podcast

JULY 3, 2022

These technological shifts have brought about corresponding changes in data and platform architectures for managing data and analytical workflows. She also discusses her views on the role of the data lakehouse as a building block for these architectures and the ongoing influence that it will have as the technology matures.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. This is the promise of the modern data lakehouse architecture. These challenges require architecture changes and adoption of new table formats that can support massive scale, offer greater flexibility of compute engine and data types, and simplify schema evolution. .

Architecture 100

Architecture Metadata Machine Learning Unstructured Data 100

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Conventional architectures simply cannot deliver that because they’re too rigid.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. Can you describe the system architecture that you have built at Acryl? What are some examples of automated actions that can be triggered from metadata changes?

Metadata 100

Metadata BI Data Warehouse Government 100

Knowledge Hut

APRIL 4, 2024

Getting a Chef infrastructure up requires a series of steps detailed below: Components Of Chef Infra Chef is divided down into three basic components: the workstation, the server, and the nodes also referred to as the 3 tier architecture. It is easy to learn the complete Chef architecture through an online Chef course.

Architecture 52

Architecture Amazon Web Services Metadata AWS 52

Edureka

AUGUST 19, 2024

The Azure Databricks architecture is designed to become an incredibly robust framework in data analytics on the Microsoft Azure platform. High-level Architecture Conclusion Frequently Asked Questions Azure Databricks simplifies the data engineering and data science workflows. Table of Contents: What is the meaning of digital forensics?

Architecture 40

Architecture Data Lake Machine Learning Data Ingestion 40

Data Engineering Podcast

APRIL 22, 2018

For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What are some of the types of information that you classify and collect as metadata? Can you talk through the architecture of your platform?

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

Cloudera

SEPTEMBER 29, 2022

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

Architecture 72

Architecture Data Architecture Metadata Data Warehouse 72

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 83

Data Architecture Architecture Management Banking 83

Cloudyard

MARCH 4, 2023

Data Architecture discussed in course was in great detail and instead of just going only video and earning Badge, we plan to implement Architecture based on our understanding. Therefore, After going Video, back and forth multiple times I tried to accumulate the different parts in a single architecture slide in simpler way.

Architecture 52

Architecture Cloud Metadata Data Ingestion 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. Table of Contents What is a data fabric?

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. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Data Mesh: A type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-oriented, self-serve design.

Data Architecture 77

Data Architecture Architecture Data Lake NoSQL 77

Monte Carlo

FEBRUARY 9, 2023

Over the past several years, data warehouses have evolved dramatically, but that doesn’t mean the fundamentals underpinning sound data architecture needs to be thrown out the window. In this blog post we’ll dive into data vault architecture; challenges and best practices for maintaining data quality; and how data observability can help.

Architecture 52

Architecture Raw Data Metadata Data Warehouse 52

AltexSoft

AUGUST 22, 2022

In this post, we’ll attempt to explain the idea behind a data fabric, its architectural building blocks, the benefits it brings, and ways to approach its implementation. Data fabric architecture example. It is also driven by metadata, which it uses to recognize patterns, map data, and perform continuous analysis.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Uber Engineering

AUGUST 3, 2018

Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, … The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.

Metadata 110

Metadata Big Data Transportation Data 110

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 82

Metadata BI Data Lake Business Intelligence 82

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. System metadata is reviewed and updated regularly. Security Architecture Improvements. Logical Architecture.

Architecture 109

Architecture Transportation Certification Government 109

Data Engineering Podcast

AUGUST 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Metadata 100

Metadata MongoDB Scala MySQL 100

AltexSoft

AUGUST 29, 2023

This article explains what a data lake is, its architecture, and diverse use cases. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. An example of a data lake architecture. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. Traditional data warehouse platform architecture. Data lake architecture example. Lakehouse architecture. What is a data lakehouse?

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Podcast

JUNE 16, 2024

Can you describe what role Trino and Iceberg play in Stripe's data architecture? what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? Email hosts@dataengineeringpodcast.com with your story.

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Rockset

APRIL 26, 2023

We’ve noticed many common patterns across streaming data architectures and we’ll be sharing a blueprint for three of the most popular: anomaly detection, IoT, and recommendations. Our example architecture for anomaly detection will leverage both historical data and website activity to search for suspiciously low transaction counts.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. Introduction and Rationale. Networking .

Architecture 100

Architecture Cloud Kafka Hadoop 100

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Rockset

APRIL 11, 2023

Rockset hosted a tech talk on its new cloud architecture that separates storage-compute and compute-compute for real-time analytics. Shared compute architectures have the advantage of making recently generated data immediately available for querying. How does Rockset solve the problem?

Architecture 52

Architecture Cloud Bytes Metadata 52

Monte Carlo

DECEMBER 20, 2023

So what is the optimal data observability architecture or data quality coverage strategy? Data observability adds the ability to monitor metadata and logs from the data systems across your stack for full visibility into anomalous behavior. Monitoring for bad data is like fishing. And, even in the cloud, you can’t be everywhere.

Architecture 40

Architecture Data Datasets Machine Learning 40

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Data Engineering Weekly

JUNE 16, 2024

The author demonstrates a few emerging architecture patterns around the S3 Express One Zone and points out that it can offer low-latency writes suitable for high-throughput workloads; it becomes cost-effective mainly for high-throughput scenarios. link] Picnic: Open-sourcing dbt-score: lint model metadata with ease!

Data Engineer 104

Data Engineer Data Engineering Engineering Kafka 104

ThoughtSpot

NOVEMBER 5, 2024

In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction. What is Atlas?

Metadata 52

Metadata PostgreSQL Java Database 52

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata. What is Data Fabric ?

Data Management 52

Data Management Management Metadata Database-centric 52