phData: Data Engineering

OCTOBER 12, 2022

So you’ve heard all the talk around dbt , but now you’re working to determine if you should go with dbt Core or dbt Cloud and you’re wanting to know what advantages dbt Cloud has over the free dbt Core offering. However, dbt Cloud offers you much more than that.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

Snowflake

NOVEMBER 30, 2023

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data.

Data Warehouse 98

Data Warehouse Banking Data Cloud 98

phData: Data Engineering

SEPTEMBER 19, 2023

By employing robust data modeling techniques, businesses can unlock the true value of their data lake and transform it into a strategic asset. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Workfall

JUNE 12, 2023

So, embrace the power of Change Data Capture, and embark on a captivating journey where the magic of real-time data awaits. In this blog, we will cover: What Is CDC and Its Benefits? CDC also plays a crucial role in data integration and ETL processes. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

SQL 71

SQL Data Warehouse AWS Architecture 71

Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. I thought this was a fairly comprehensive list.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). First, we describe how data mesh and data fabric could be related. Data mesh defined. The data itself is then treated as a product.

Architecture 73

Architecture Data Architecture Metadata Data Warehouse 73

Data Engineering Podcast

MARCH 22, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 90

Data Lake Data Warehouse BI SQL 90

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. This will be discussed in a later blog. Relatively fast as the underlying data files are kept in place.

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Data Engineering Weekly

MARCH 10, 2024

Big thanks to our insightful speakers, Hareshkumar Selvakumar - Talks about his work on Data Products for PayPal. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses. Thanks to Ideas2IT Technologies for hosting us in their fantastic space. link] NVIDIA: What Is Trustworthy AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

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

Cloudera

OCTOBER 11, 2022

Different data types need different types of analytics – real-time, streaming, operational, data warehouses. As Mason said, all the data management, data analytics, and data science tools should easily work together and run against all this shared data. It should run on any cloud or on-prem.

Data Science 90

Data Science Aggregated Data Data Consulting 90

Data Engineering Weekly

FEBRUARY 18, 2024

[link] Joe Reis: Everything Ends - My Journey With the Modern Data Stack Joe writes another excellent retrospect for Modern Data Stack, walking down memory lane of the early and golden days of the Modern Data Stack. We are so over the Big Data Era to Modern Data Stack. Elevate your data skills!

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Cloudera

SEPTEMBER 17, 2020

To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle. This platform, including an ad-hoc capable data warehouse service with built-in, easy-to-use visualization, made it easy for anyone to jump in and start experimenting.

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80

Snowflake

APRIL 17, 2023

But the real “gotcha” moment for me was hearing it all come together as the Data Cloud. In an analyst briefing via Zoom, the Snowflake team presented the vision to truly “mobilize the world’s data.” The mission of “mobilizing the world’s data” means enabling companies to collaborate. But it’s really true.

Retail 69

Retail Metadata Cloud Data Warehouse 69

Advancing Analytics: Data Engineering

SEPTEMBER 7, 2021

From Warehouse to Lakehouse Pt.1 1 SCD Type 1 in SQL and Python Introduction With the move to cloud based Data Lake platforms there has often been criticism from the more traditional Data Warehousing community. By its definition, a data lake accepts any data, without oversight or governance.

Data Lake 52

Data Lake Datasets Data Warehouse SQL 52

Data Engineering Weekly

OCTOBER 30, 2022

I found the blog helpful in understanding the generative model’s historical development and the path forward. link] Sponsored- [New eBook] The Ultimate Data Observability Platform Evaluation Guide Considering investing in a data quality solution? The author explains how to dump the history of blockchains into S3.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. The post What is a Data Mesh?

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Cloudera

DECEMBER 21, 2023

In the “assumptions” field, we see how the SQL AI Assistant looked over our data model; compared to what we’re looking for, it was able to find the right tables, columns, and joins needed to provide a query that will give us the list we’re looking for. And as a bonus, we even get the query written for us, saving us even more time!

SQL 66

SQL Data Warehouse Business Analyst Data Schemas 66

Monte Carlo

MARCH 3, 2021

Instead, we only extract query logs, metadata, and aggregated statistics about data usage to ensure that your most critical data assets are as trustworthy and reliable as possible. We designed our product without having to store or access individual records, PII, or any other sensitive information. What’s next?

Metadata 52

Metadata Data Lake Business Intelligence Certification 52

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Luke: Let’s talk about some of the fundamentals of modern data architecture. What is a data fabric? Mark: Gartner states that a data fabric “enables frictionless access and sharing of data in a distributed data environment.”

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

RandomTrees

SEPTEMBER 6, 2020

Snowflake Overview A data warehouse is a critical part of any business organization. Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS).

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Workfall

AUGUST 14, 2023

Two powerful tools that have emerged to simplify the management of data pipelines are DBT (Data Build Tool) and Airflow. These tools, when combined, form a dynamic duo that streamlines and scales data engineering workflows. So, let’s dive into the world of DBT and Airflow and discover how they revolutionize data pipelines.

Data Pipeline 62

Data Pipeline Raw Data Data Database 62

Data Engineering Weekly

NOVEMBER 6, 2022

A data contract is a continuous and collaborative system because the business context and requirements won’t be static. I plan to write a series of blogs on Schemata and Data Contract in the coming weeks. Martin kindly stepped in for me to give the update for my promised blog posts.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Cloudera

NOVEMBER 6, 2017

A noteworthy point is that Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure. The same enterprise capabilities delivered on premises are optimized for cloud environments, taking advantage of the elasticity and delivering the self-service desired.

Cloud 40

Cloud Amazon Web Services AWS Metadata 40

Cloudera

MAY 12, 2021

HYBRID & MULTI-CLOUD INNOVATION. If you are working in an organization that is driving business innovation by unlocking value from data in multiple environments — in the private cloud or across hybrid and multiple public clouds — we encourage you to consider entering this category. SECURITY AND GOVERNANCE LEADERSHIP.

Food 66

Food Healthcare Government Medical 66

Cloudera

FEBRUARY 16, 2022

Each workspace is associated with a collection of cloud resources. In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Figure 03: lineage.yaml.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. In this blog, we share our takeaways as they relate to the DMSA market trends. Cloudera believes disruption persists around multi-cloud. Why multi-cloud?

Data Management 42

Data Management Management Metadata Government 42

Monte Carlo

SEPTEMBER 12, 2022

But with the rise of tools such as Segment, Fivetran, Meltano, and Airbyte, it’s become relatively easy for teams to bring all of their data from external sources into a centralized place like a data warehouse. He continues to share his takes on the Preset blog , and is excited to see what happens in the years to come.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

dbt Developer Hub

AUGUST 23, 2022

Those who have been building data warehouses for a long time have undoubtedly encountered the challenge of building surrogate keys on their data models. This was because storage was expensive — it was more efficient to store data as few times as possible, and rely on joins to connect data tog ether when a report required it.

Datasets 52

Datasets Metadata SQL Data Warehouse 52