Data Engineering Podcast

JULY 1, 2019

It was an interesting conversation about how he stress tested the Instaclustr managed service for benchmarking an application that has real-world utility. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. At CluedIn they call it “eventual connectivity”.

Kafka 100

Kafka Finance Media Architecture 100

Data Engineering Podcast

JULY 14, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Machine Learning 100

Machine Learning Media Cloud Data 100

Data Engineering Podcast

JULY 8, 2019

It was interesting to learn about some of the custom data types and performance optimizations that are included. We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. Coming up this fall is the combined events of Graphorum and the Data Architecture Summit.

Data Warehouse 100

Data Warehouse MySQL Hadoop Data Lake 100

DataKitchen

DECEMBER 30, 2020

In September of 2020, Database Trends & Application’s Big Data Quarterly featured DataKitchen’s DataOps Platform for applying Agile development and Lean Manufacturing to data production through the Platform’s continuous deployment and automated testing and monitoring capabilities: DataKitchen. DataKitchen.

Manufacturing 96

Manufacturing Big Data Data Pipeline Data Science 96

Monte Carlo

FEBRUARY 13, 2025

Summit Essentials Date & Location The Gartner Data & AI Summit takes place May 12-15th, 2025 in London, England. This year, the event will uncover the latest in data management, data trends, governance, and data architecture to deliver value for the future.

Data Analytics 52

Data Analytics Government Data Architecture Data Lake 52

Striim

AUGUST 20, 2024

One powerful way to achieve this transformation is by modernizing data architecture and migrating to the cloud. For retailers, modernizing data architecture is not just about upgrading technology—it’s about empowering teams with better, faster access to data while future-proofing their infrastructure.

Retail 52

Retail Cloud Google Cloud Data Architecture 52

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

The Modern Data Company

FEBRUARY 26, 2024

With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Mixing metaphors aside, this startup knows that to sustain growth and outmaneuver competitors, it needs to evolve its approach to data management.

Architecture 52

Architecture Data Architecture Data Technology 52

Precisely

MAY 3, 2023

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. And, we’ll share how our latest innovations help you unlock success along the way.

Data Integration 52

Data Integration Government AWS Data Governance 52

The Modern Data Company

DECEMBER 29, 2022

If they can streamline their data pipelines to provide actionable insights, they can usher in the next generation of financial services and survive the next global disruption. Instead of a patchwork set of tools and multiple copies of data, users can customize dashboards for the insights they really need.

Banking 52

Banking Pipeline-centric Building Finance 52

phData: Data Engineering

DECEMBER 20, 2022

In contrast, a cloud provider specializes in data infrastructure, typically offers multiple back-ups to reduce the risk of outages, and abstracts away any thought you have to give to data management—it just works. With that openness comes far more opportunity for low-quality data to creep in.

Cloud 52

Cloud Database-centric Data Data Warehouse 52

Snowflake

AUGUST 21, 2023

How Roche is putting data mesh principles into action Roche Diagnostics, the Swiss multinational healthcare organization, was relying on legacy data architectures that were prone to bottlenecks, slow release cycles, massive engineering pipelines, and frequent data siloing.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

The Modern Data Company

APRIL 15, 2024

Value Proposition : Aiming for consistency, high production, and responsiveness to feedback mirrors the goals of data product development, emphasizing the importance of meeting and exceeding user expectations.

Building 52

Building Raw Data Food Data 52

AltexSoft

MARCH 2, 2023

Ideally, despite the model chosen, data governance covers all strategic, tactical, and operational aspects of data management, which brings us to the necessity to distinguish these and other terms. Data management is the overall process of collecting, storing, organizing, maintaining, and using data.

Data Governance 52

Data Governance Government Programming Healthcare 52

Monte Carlo

MAY 25, 2023

By dramatically improving visibility across data operations and streamlining communication, thereby enabling wider trust in data, data consumers and engineers can work with data in more efficient, collaborative, and innovative ways.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

The Modern Data Company

MARCH 1, 2024

For today’s Chief Data Officers (CDOs) and data teams, the struggle is real. We’re drowning in data yet thirsting for actionable insights. We need a new approach, a paradigm shift that delivers data with the agility and efficiency of a speedboat – enter Data Products.

Data Lake 40

Data Lake Database-centric Government Retail 40

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake Machine Learning BI 64

Monte Carlo

APRIL 20, 2023

This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich. Data access and enablement Data lineage is essential to data quality, but that is far from its only use case.

Data Warehouse 52

Data Warehouse BI Data Government 52

The Modern Data Company

JANUARY 31, 2023

We also had the opportunity to talk about DataOS and the new paradigm it presents to the world of data. Our founders — and, as a result, the entire company — think about data differently than everyone else. Schedule a demo and see it all for yourself. Experts couldn’t stop mentioning it. Eager to get started?

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Cloudera

DECEMBER 28, 2017

Alasdair Anderson, Executive Vice President of Big Data, Nordea Bank AB, In order for Nordea to comply, they needed a big data platform that was cost-effective, faster, efficient, and more secure than their legacy technology. Watch the webinar to hear Nordea’s story and see them demo Trifacta and Arcadia Data software on Cloudera.

Banking 40

Banking Data Ingestion Big Data Machine Learning 40

Cloudera

NOVEMBER 21, 2024

Cloudera customers benefit from enterprise-secured tools to build collaborative sandboxes, empowering data engineers, data scientists, and extended data practitioner teams that need insights to drive decisions.

Pipeline-centric 85

Pipeline-centric Data Engineer Data Engineering Engineering 85

Cloudera

DECEMBER 3, 2024

Apache Iceberg, together with the REST Catalog, dramatically simplifies the enterprise data architecture, reducing the Time to Value, Time to Market, and overall TCO, and driving greater ROI. In this case I’m using a role named – “UnitedAirlinesRole” that I can use to share data. SELECT * FROM airlines_data.carriers; 4.

Metadata 84

Metadata SQL Database Data Warehouse 84