phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses. Go to [dataengineeringpodcast.com/materialize]([link] Support Data Engineering Podcast

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Snowflake

JUNE 21, 2024

Snowflake is now making it even easier for customers to bring the platform’s usability, performance, governance and many workloads to more data with Iceberg tables (now generally available), unlocking full storage interoperability. Iceberg tables provide compute engine interoperability over a single copy of data.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

Data Engineering Podcast

FEBRUARY 19, 2023

Summary Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used.

IT 147

IT Data Lake Metadata Data Warehouse 147

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. It will be illustrated with our technical choices and the services we are using in the Google Cloud Platform. Data As Code is a very strong choice : we do not want any UI because it is an heritage of the ETL period.

Technology 130

Technology Architecture Google Cloud Metadata 130

Edureka

MAY 27, 2025

The architecture of Microsoft Fabric is based on several essential elements that work together to simplify data processes: 1. OneLake Data Lake OneLake provides a centralized data repository and is the fundamental storage layer of Microsoft Fabric. What Are the Core Components of Microsoft Fabric Architecture?

Architecture 52

Architecture BI Business Intelligence Raw Data 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Data Engineering Podcast

NOVEMBER 26, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. Data lakes are notoriously complex. Materialize]([link] You shouldn't have to throw away the database to build with fast-changing data.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

OCTOBER 14, 2018

The Hive format is also built with the assumptions of a local filesystem which results in painful edge cases when leveraging cloud object storage for a data lake. One of the complicated problems in data modeling is managing table partitions. What are the unique challenges posed by using S3 as the basis for a data lake?

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Snowflake

DECEMBER 4, 2023

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. Now, Snowflake can make changes to the table.

Building 117

Building Metadata Cloud Storage AWS 117

Cloudera

NOVEMBER 5, 2020

How do you control data privacy and protect against data breaches when the data is spread across so many different systems? How do you optimize your enterprise-wide infrastructure (mostly cloud) and application expenditures? In CDP, an “Environment” is a logical subset of your cloud provider account.

Cloud 74

Cloud Data Lake Data Warehouse Metadata 74

Data Engineering Podcast

DECEMBER 18, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Missing data? Atlan is the metadata hub for your data ecosystem. Struggling with broken pipelines? Stale dashboards?

Metadata 130

Metadata Business Intelligence Data Lake BI 130

phData: Data Engineering

NOVEMBER 1, 2024

Organizations also need a better understanding of how LLMs are trained, especially with external vendors or public cloud environments. In sectors like legal services, safeguarding client data from being used in public apps or external training models is critical.

Government 52

Government Data Governance Finance Metadata 52

Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Cloud Speed and Scale. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Engineer 95

Data Engineer Data Engineering Cloud Engineering 95

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. CDP Data Lake cluster versions – CM 7.4.0, Introduction. Runtime 7.2.8. Architecture.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Data Engineering Podcast

DECEMBER 29, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan's active metadata capabilities. Missing data? If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription.

Management 130

Management Metadata Business Intelligence Data Lake 130

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

Cloud 104

Cloud Data Warehouse Banking Data 104

Data Engineering Podcast

JUNE 17, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. How has the move to the cloud for data warehousing/data platforms influenced the practice of data modeling?

Data Lake 130

Data Lake Machine Learning Data Architecture Metadata 130

Cloudyard

DECEMBER 13, 2022

Read Time: 4 Minute, 23 Second During this post we will discuss how AWS S3 service and Snowflake integration can be used as Data Lake in current organizations. How customer has migrated On Premises EDW to Snowflake to leverage snowflake Data Lake capabilities. Create S3 bucket to hold the tables data.

Data Lake 52

Data Lake AWS Metadata Data 52

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. So you only need to store one copy of data for your streaming and Lakehouse. The fourth difference is the Lakehouse Architecture.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Sync Computing

NOVEMBER 7, 2024

While data warehouses are still in use, they are limited in use-cases as they only support structured data. Data lakes add support for semi-structured and unstructured data, and data lakehouses add further flexibility with better governance in a true hybrid solution built from the ground-up.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Data Engineering Podcast

NOVEMBER 20, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. What is the workflow for someone getting Sifflet integrated into their data stack?

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP. Overview of Cloudera Data Warehouse.

Data Warehouse 96

Data Warehouse Cloud Consulting SQL 96

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Database 90

Database Cloud Data Warehouse Data Lake 90

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has been recognized in this cloud DBMS report since its inception in 2020. We do it today when data is even bigger, and hybrid — and clouds — are expensive. This is unique.

Database 92

Database Cloud Systems Management 92

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 80

Cloud Metadata Google Cloud Data Warehouse 80

Monte Carlo

DECEMBER 12, 2024

In this article, Ill propose a playbook you can deploy to get your team aligned, your data ready, and your stakeholders on the same page. Step 1: Get to the cloud If your data stack isnt already on the cloud whether thats Snowflake, Databricks, or some other warehouse/lake/lakehouse solution the time to get there was yesterday.

Government 52

Government Data Cloud Datasets 52

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? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Striim

MARCH 21, 2025

To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis. Time-sensitive data replication is also a major consideration in cloud migrations, where data is continuously changing and shutting down the applications that connect to operational databases isn’t an option.

IT 52

IT Data Lake Relational Database Data Warehouse 52

Precisely

OCTOBER 16, 2023

Rapid advancements in digital technologies are transforming cloud-based computing and cloud analytics. Big data analytics, IoT, AI, and machine learning are revolutionizing the way businesses create value and competitive advantage. The Rise of Cloud-Based Computing Pivotal changes can often be abrupt and unsettling.

Cloud 71

Cloud Cloud Computing Data Governance Metadata 71

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate.

IT 94

IT Data Lake Data Warehouse Cloud Storage 94

Monte Carlo

AUGUST 25, 2023

At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 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