databricks

DECEMBER 12, 2023

Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional too.

Data Pipeline 115

Data Pipeline Data Data Science Data Engineering 115

Data Engineering Weekly

APRIL 14, 2024

Meta: OpenEQA - From word models to world models Will AI agents soon become a common fixture in our homes and an integral part of our daily lives? However, TIL about Apache Paimon, a lake format that enables building a real-time lakehouse architecture with Flink and Spark for both streaming and batch operations.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Data Engineering Weekly

MARCH 3, 2024

2) Why High-Quality Data Products Beats Complexity in Building LLM Apps - Ananth Packildurai I will walk through the evolution of model-centric to data-centric AI and how data products and DPLM (Data Product Lifecycle Management) systems are vital for an organization's system. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

APRIL 23, 2024

Jake Bengtson Jake is the Technical Evangelism Director at Cloudera, where he specializes in demonstrating how Cloudera’s Lakehouse supports Generative AI and the entire data lifecycle. Mike shares insights and ideas as a LinkedIn influencer, writing his ENGAGE newsletter and blog, and hosting “The Sustainability Communicator” podcast.

Machine Learning 88

Machine Learning Data Science Retail Consulting 88

databricks

SEPTEMBER 27, 2023

This blog is authored by Ben Dias, Director of Data Science and Analytics and Ioannis Mesionis, Lead Data Scientist at easyJet Introduction to.

Data Science 103

Data Science Data 103

Christophe Blefari

JUNE 3, 2023

Gen AI 🤖 As always the pace of innovation in this field is incredibly fast so here a few news I've seen I found worth it: Japan goes all in: copyright doesn’t apply to AI training — I'm far from being a law expert but it looks like something that will create precedence.

Data Pipeline 130

Data Pipeline Data SQL Algorithm 130

Cloudera

SEPTEMBER 26, 2023

The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog. Apache Kafka has evolved into the most widely-used streaming platform, capable of ingesting and processing trillions of records per day without any perceptible performance lag as volumes scale.

Kafka 92

Kafka Technology IT Government 92

Cloudera

MARCH 26, 2024

Today, 44% of organizations are experimenting with generative AI, with 10% having already implemented it in operational settings. Companies must act now in order to stay in the AI Race. We’ve built a comprehensive AI stack designed to empower businesses to develop AI applications faster and more efficiently.

Machine Learning 81

Machine Learning Banking Professional Services Architecture 81

databricks

OCTOBER 26, 2023

The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the.

Machine Learning 94

Machine Learning Data 94

Christophe Blefari

JULY 3, 2023

This is a small wrap-up from the Snowflake and Databricks Data + AI summits which have taken place last week. They announced: Document AI — A new integrated product where you can ask questions in natural language on documents (PDF, etc.). bias), AI takeoff. Still here the newsletter for last week.

SQL 130

SQL Data Kafka AWS 130

Data Engineering Weekly

NOVEMBER 26, 2023

Revolution in AI: Large Language Models Take the World by Storm I’m not certainly talking about OpenAI boardroom drama. We saw a fleet of announcements from Data Catalogs tools on how LLM can help to auto-generate documentation [See: How Generative AI Is Making Data Catalogs Smarter ]. Let me know your thoughts in the comments.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Data Engineering Weekly

MARCH 10, 2024

link] Piethein Strengholt: Data Quality within Lakehouses This article emphasizes the importance of data quality in data lakehouses, outlining the consequences of neglecting it and advocating for a structured approach through a governance framework. link] NVIDIA: What Is Trustworthy AI?

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. It does not include any generative AI but greatly shows how machine learning can impact business problems. So thank you for that. Stay tuned and let's jump to the content. You bring your own compute.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

databricks

APRIL 26, 2023

One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.

Data Architecture 102

Data Architecture Architecture BI Machine Learning 102

databricks

JUNE 12, 2023

Organizations across industries are adopting the lakehouse architecture and using a unified platform for all their data, analytics and AI workloads. When moving.

Architecture 91

Architecture Data Analytics Data 91

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. Iterations of the lakehouse. The lakehouse, while not yet named, was very much thriving. Somewhere along this timeline, the name “data lakehouse” was coined for this architecture pattern.

Data Lake 92

Data Lake Data Warehouse BI SQL 92

databricks

JANUARY 17, 2023

A new data management architecture known as the data lakehouse emerged independently across many organizations and use cases to support AI and BI.

BI 89

BI Architecture Data Management Management 89

Data Engineering Weekly

AUGUST 13, 2023

🔍 [link] Meta: Scaling the Instagram Explore recommendations system AI plays an important role in what people see on Meta’s platforms. link] Github: [link] Vimeo: From idea to reality - Elevating our customer support through generative AI The application of GenAI has huge potential to disrupt the customer support industry.

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Cloudera

JUNE 7, 2022

This is precisely what industry analysts recommend as mandatory for data fabric, data lakehouse, data mesh and future data ecosystem architectures. That’s where modern data architectures like data lakehouse, data fabric and data mesh come in. The post The Future Is Hybrid Data, Embrace It appeared first on Cloudera Blog.

IT 110

IT Unstructured Data Data Architecture Government 110

Cloudera

MARCH 3, 2023

I must store data efficiently and resiliently, pipe and aggregate data into data lakehouses, and apply machine learning algorithms and AI to uncover actionable insights for our business units. The post Why I Prefer Cloudera CDP appeared first on Cloudera Blog. Thing#1 and Thing#2. CDP gets me all of it.

Aggregated Data 82

Aggregated Data Consulting Government AWS 82

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cloud 86

Cloud Government Cloud Computing Data Architecture 86

Data Engineering Weekly

FEBRUARY 19, 2023

[link] Microsoft: Measuring fairness in Machine Learning Our day-to-day life increasingly depends on AI & ML systems. We trust AI decision-making better than human decision-making to eliminate human bias. However, we can’t forget that these AI/ ML systems also build by humans with bias.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Weekly

AUGUST 20, 2023

We’ve seen text-to-SQL generators, Gen-AI SDK, auto-generate documentation, etc. The blog narrates the potential possibilities of LLM’s impact in each stage of the data warehouse. The blog is an excellent reminder to start somewhere small, then standardize as a platform and improve.

Data Engineering 52

Data Engineering Data Engineer Engineering Data 52

Data Engineering Weekly

JUNE 12, 2023

[link] AWS: Choosing an open table format for your transactional data lake on AWS The adoption of the Lakehouse architecture increasing, but what format to choose? AWS writes a comprehensive analysis of all the Lakehouse formats and their support within the AWS ecosystem.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Data Engineering Weekly

MARCH 5, 2023

Link to the conversation [link] Stanford HAI: Generative AI - Perspectives from Stanford HAI ChatGPT might write an essay, Midjourney could create beautiful illustrations, or MusicLM could compose a jingle. Stanford HAI published its perspective on Generative AI in this extensive report.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Data Engineering Weekly

FEBRUARY 26, 2023

Perhaps merge Data LakeHouse & Data Warehouse in the next edition? link] Funding Circle: Data Engineering Culture @ FC Many companies show their technical excellence in their blogs. the addition of the “Fully Managed” category is an exciting space to watch out for. The gap is blurring between them.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. However, the reality is that the “move to cloud” is a turbulent flight for many of them. Why FinOps?

Cloud 77

Cloud Finance Cloud Computing Government 77

Data Engineering Weekly

MARCH 12, 2023

We take three articles and do an in-depth analysis, and we hope to bring the author of the blogs to discuss more. The blog narrates the architecture to implement an outbox pattern with Debezium, the usage of the outbox router in Debezium, and lessons learned. We call it Data Engineering Weekly Radio.

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 52

Monte Carlo

AUGUST 31, 2023

Regardless of your perspective on the data mesh, it’s certainly taken the data community by storm and surfaced great conversation ( and blog articles ) on the future of our distributed data architectures and team structures. Rise of the Data Lakehouse Data warehouse or data lake? Meet: the data lakehouse.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. When AI started gaining adoption he realized that he had even more potential for a transformative experience. How do you manage the personalization of the AI functionality in your system for each user/team? When is Shortwave the wrong choice?

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Podcast

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. In this episode Alex Merced explains how the branching and merging functionality in Nessie allows you to use the same versioning semantics for your data lakehouse that you are used to from Git.

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Data Engineering Podcast

APRIL 14, 2024

For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Closing Announcements Thank you for listening!

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. Step 1- Automating the Lakehouse's data intake. Step 2- Internal Data transformation at LakeHouse.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

FEBRUARY 25, 2024

For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Promo Code: dataengpod20 Dagster : ![Dagster

Database 162

Database Technology Data Lake High Quality Data 162

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 91

Data Architecture Architecture Data Lake Data 91

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. appeared first on Cloudera Blog. But getting there requires data, and a lot of it.

Cloud 87

Cloud Data Governance Unstructured Data Data Architecture 87