Building Enterprise GenAI Apps with Meta Llama 3 on Databricks
databricks
APRIL 18, 2024
We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama.
databricks
APRIL 18, 2024
We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama.
KDnuggets
APRIL 18, 2024
Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.
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Waitingforcode
APRIL 18, 2024
Streaming jobs are supposed to run continuously but it applies to the data processing logic. After all, sometimes you may need to release a new job package with upgraded dependencies or improved business logic. What happens then?
KDnuggets
APRIL 18, 2024
Learning a new skill can be expensive, but it doesn’t have to be.
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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Cloudera
APRIL 18, 2024
Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.
Snowflake
APRIL 18, 2024
Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. They have become indispensable for organizations worldwide, particularly for security teams. But as much as security operation center (SOC) analysts have come to rely on solutions like Splunk, there is one complaint that comes up for some: Costs can quickly add up.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Cloudera
APRIL 18, 2024
Regulations often get a bad rap. You may have heard the old idiom “cut the red tape” which means to circumvent obstacles like regulations or bureaucracy. But in many – if not most )– cases the underlying need for regulations outweighs the burden of compliance. In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.
Confluent
APRIL 18, 2024
Learn how to use kafka-docker-composer, a simple tool to create a docker-compose.yml file for failover testing, to understand cluster settings like Kraft, and for app development.
Scott Logic
APRIL 18, 2024
In this episode, Oliver Cronk, Andrew Carr and David Hope talk about the ever-changing world of data, with conversations moving from data warehouse to data lake, and data mesh to data fabric. They discuss the importance of data ownership and common tooling, and their view that data mesh is an approach rather than an architecture.
Confluent
APRIL 18, 2024
Siemens and Brose revolutionized global manufacturing operations with Confluent’s data streaming, increasing its IoT integration and the future of Industry 4.0.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Cloudyard
APRIL 18, 2024
Read Time: 2 Minute, 59 Second Consider a Scenario where the Client manages a large Customer-Invoice details with constantly changing Invoice data. The company uses Snowflake to manage Invoice data in a table named S_INVOICE. This table receives daily loads(history + Current) to reflect changes in customer and invoice partial payment. The goal is to efficiently merge this dynamic data into a target table named S_INVOICE_TARGET while performing Insert operations using stored procedure.
RandomTrees
APRIL 18, 2024
In today’s dynamic business landscape, data integration has become a critical component for enterprises to derive meaningful insights and make informed decisions. Among the various tools available for data integration, Informatica and Talend stand out as popular choices, each with its strengths and capabilities. However, migrating from one platform to another can be a daunting task, especially when it involves converting existing code.
DataKitchen
APRIL 18, 2024
Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. With these two products, you will know if your pipelines are running without error and on time and can finally trust your data.
Scott Logic
APRIL 18, 2024
The Internal App Portal Project What do you do when you’re a software consultancy that uses small, internally developed applications, and you need to be able to spin those applications up on demand? You build something! Part of life at a consultancy means stints on the bench, allowing us to participate in internal projects. One of those projects is the ‘Internal Application Portal’ (IAP).
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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