Thu.Nov 21, 2024

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Automation and Data Integrity: A Duo for Digital Transformation Success

Precisely

Key Takeaways: Harness automation and data integrity unlock the full potential of your data, powering sustainable digital transformation and growth. Data and processes are deeply interconnected. Successful digital transformation requires you to optimize both so that they work together seamlessly. Simplify complex SAP® processes with automation solutions that drive efficiency, reduce costs, and empower your teams to act quickly.

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5 Essential Resources for Learning R

KDnuggets

Learn R from top institutions like Harvard, Stanford, and Codecademy.

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Trending Sources

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How to present and share your Notebook insights in AI/BI Dashboards

databricks

We’re excited to announce a new integration between Databricks Notebooks and AI/BI Dashboards, enabling you to effortlessly transform insights from your notebooks into.

BI 132
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What do Snowflake, Databricks, Redshift, BigQuery actually do?

Start Data Engineering

1. Introduction 2. Analytical databases aggregate large amounts of data 3. Most platforms enable you to do the same thing but have different strengths 3.1. Understand how the platforms process data 3.1.1. A compute engine is a system that transforms data 3.1.2. Metadata catalog stores information about datasets 3.1.3. Data platform support for SQL, Dataframe, and Dataset APIs 3.1.4.

Metadata 130
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Integrating Language Models into Existing Software Systems

KDnuggets

Improving existing software systems, making them more robust and capable of solving complex contemporary problems.

Systems 127
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Introducing an exclusively Databricks-hosted Assistant

databricks

We’re excited to announce that the Databricks Assistant , now fully hosted and managed within Databricks, is available in public preview! This version.

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Connect with Confluent Q4 Update: New Program Entrants and SAP Datasphere Hydration

Confluent

Confluent’s CwC partner program introduces bidirectional data streaming for SAP Datasphere, powered by Apache Kafka and Apache Flink; CwC Q4 2024 new entrants.

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Announcing comprehensive Azure Private Link coverage for outbound access to your managed Azure resources

databricks

We are excited to announce that Azure Private Link is now Generally Available (GA) for Databricks serverless and Mosaic AI Model Serving workloads.

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Composable CDPs for Travel: Personalizing Guest Experiences with AI

Snowflake

As travelers increasingly expect personalized experiences, brands in the travel and hospitality industry must find innovative ways to leverage data in their marketing and product experiences. That said, managing vast, complex data sets across multiple brands, loyalty programs and guest touchpoints presents unique challenges for companies in this industry.

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Characterizing Datasets and Building Better Models with Continued Pre-Training

databricks

While large language models (LLMs) are increasingly adept at solving general tasks, they can often fall short on specific domains that are dissimilar.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where data pipeline design patterns come in.

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Choosing Between Star Schema and Snowflake Schema: A Comprehensive Guide

Hevo

In today’s data-driven world, choosing the right schema to store data is equally important as collecting it. Schema design plays a crucial role in the performance, scalability, and usability of your data systems. Different data use cases require the selection of different schema designs.

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How Skyscanner Enabled Data & AI Governance with Monte Carlo

Monte Carlo

For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. As digital natives, the organization is no stranger to staggering volume. Over the years, Skyscanner has grown organically to include a vast network of high-volume data producers and consumers, including: Serving over 110 million monthly users Partnering with hundreds of travel providers Operating in 30+ languages and 180 countries An fulfilling over 5,000

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AI Is the Future. Data Governance Is Now.

Elder Research

Discover how data governance empowers teams with accurate, accessible, and connected data to drive real impact.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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How Skyscanner Enabled Data & AI Governance with Monte Carlo

Monte Carlo

For over 20 years, Skyscanner has been helping travelers plan and book trips with confidence— including airfare, hotels, and car rentals. As digital natives, the organization is no stranger to staggering volume. Over the years, Skyscanner has grown organically to include a vast network of high-volume data producers and consumers, including: Serving over 110 million monthly users Partnering with hundreds of travel providers Operating in 30+ languages and 180 countries An fulfilling over 5,000

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Autoscaling in Databricks: Easy Step-by-Step Explanation

Hevo

According to The Gartner Group, poor data quality drains a company on average $12.9 million annually in resources and expenses for operational inefficiencies, missed sales and unrealized new opportunities. Many companies, even today, struggle with balancing the high cost of computational resources against their often unpredictable needs.

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Elevating Productivity: Cloudera Data Engineering Brings External IDE Connectivity to Apache Spark

Cloudera

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. AI pioneer Andrew Ng recently underscored that robust data engineering is foundational to the success of data-centric AI —a strategy that prioritizes data quality over model complexity.

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Building a Data Warehouse: A Step-by-Step Guide for Modern Businesses

Hevo

Today, information has become one of the most important resources of a company. Businesses are now creating more data in their systems such as customer sales, web traffic and activity, CRM and so much more.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?