Simon Späti
MARCH 11, 2025
Many data engineers and analysts start their journey with Postgres. Postgres is powerful, reliable, and flexible enough to handle both transactional and basic analytical workloads. It’s the Swiss Army knife of databases, and for many applications, it’s more than sufficient. But data volumes grow, analytical demands become more complex, and Postgres stops being enough.
Analytics Vidhya
MARCH 12, 2025
Apache Iceberg is a modern table format designed to overcome the limitations of traditional Hive tables, offering improved performance, consistency, and scalability. In this article, we will explore the evolution of Iceberg, its key features like ACID transactions, partition evolution, and time travel, and how it integrates with modern data lakes. Well also dive into […] The post How to Use Apache Iceberg Tables?
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Snowflake
MARCH 12, 2025
Sports fans are the heart and lifeblood of every game. They are the ones packing stadiums, spending endless hours researching their fantasy lineup, traveling the country or world to support their favorite teams, snapping untold numbers of photos on their phones, passionately posting on social media and purchasing streaming packages and the latest swag.
Monte Carlo
MARCH 13, 2025
By now, most data leaders know that developing useful AI applications takes more than RAG pipelines and fine-tuned models it takes accurate, reliable, AI-ready data that you can trust in real-time. To borrow a well-worn idiom, when you put garbage data into your AI model, you get garbage results out of it. Of course, some level of data quality issues is an inevitabilityso, how bad is “bad” when it comes to data feeding your AI and ML models?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
RandomTrees
MARCH 10, 2025
Let’s explore predictive analytics, the ground-breaking technology that enables companies to anticipate patterns, optimize processes, and reach well-informed conclusions. Predictive analytics is helping businesses succeed in competitive markets and stay ahead of the curve in today’s dynamic environment. Want to know more? Let’s examine its relevance and operation.
KDnuggets
MARCH 13, 2025
The Hundred-Page Language Models Book is the LLM book you shouldn't miss.
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Snowflake
MARCH 12, 2025
In todays data-driven world, organizations depend on high-quality data to drive accurate analytics and machine learning models. But poor data quality gaps, inconsistencies and errors can undermine even the most sophisticated data and AI initiatives. According to a new report by MIT Technology Review Insights , done in partnership with Snowflake, more than half of those surveyed indicated that data quality is a top priority.
Monte Carlo
MARCH 12, 2025
The enterprise AI landscape is expanding all the time. With that expansion comes new challenges and new learning opportunities when it comes to GenAI development. Every day, the engineering team at Monte Carlo works with hundreds of customers across industries who are building AI in production today by monitoring the structured data and RAG pipelines that power their applications, from chatbots and cloud spend optimization to self-service analytics enablement and structuring unstructured data a
databricks
MARCH 10, 2025
While 85% of global enterprises already use Generative AI (GenAI), organizations face significant challenges scaling these projects beyond the pilot phase. Even the most advanced.
Edureka
MARCH 15, 2025
Introduction Developers have a lot of tools and technologies at their disposal that are meant to make work faster and easier. Since its release in 2021, GitHub Copilot has been a star. It does more than just speed things up. It shines when it comes to making complicated code easier to understand and making switching between computer languages easier.
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Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
Hevo
MARCH 9, 2025
Relational databases like Postgres have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.
ArcGIS
MARCH 13, 2025
Here's how you can conjure your own multidirectional hillshading in ArcGIS Pro. And blend colors for trippy realism.
Monte Carlo
MARCH 12, 2025
The enterprise AI landscape is expanding all the time. With that expansion comes new challenges and new learning opportunities when it comes to GenAI development. Every day, the engineering team at Monte Carlo works with hundreds of customers across industries who are building AI in production today by monitoring the structured data and RAG pipelines that power their applications, from chatbots and cloud spend optimization to self-service analytics enablement and structuring unstructured data a
databricks
MARCH 12, 2025
Earlier this week, we announced new agent development capabilities on Databricks. After speaking with hundreds of customers, we've noticed two common challenges to advancing beyond.
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!
Edureka
MARCH 12, 2025
In today’s digital age, cybersecurity companies in India play a crucial role in safeguarding our personal data and critical systems. Because technology is getting into every part of our lives, strong cybersecurity measures are needed to keep data, personal information, and important systems safe from cyber risks that are getting smarter all the time.
WeCloudData
MARCH 12, 2025
Natural Language Processing (NLP) is the key to all the recent advancements in Generative AI. Like many other industries, NLP has also revolutionized the life sciences and healthcare. The application of NLP in the medical domain ranges from drug discovery and efficient diagnosis to patient care and automating administrative tasks. To learn more about how […] The post Natural Language Processing in Healthcare appeared first on WeCloudData.
KDnuggets
MARCH 13, 2025
These models are free to use, can be fine-tuned, and offer enhanced privacy and security since they can run directly on your machine, and match the performance of proprietary solutions like o3-min and Gemini 2.0.
Confluent
MARCH 10, 2025
Unlock the power of data accessibility to drive your business strategy. Learn how to break down data silos, empower teams with actionable insights, and ensure secure, governed access to data for success.
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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.
ArcGIS
MARCH 11, 2025
Rohit Singh demonstrates how to use vision-language models in scenarios where understanding both image and text content is crucial.
Edureka
MARCH 15, 2025
Compared to large language models (LLMs), which are limited in size, speed, and ease of customization, small language models (SLMs) would be a more economical, efficient, and space-saving AI technology for users with limited resources. With fewer parameters (usually less than 10 billion), SLMs are assumed to have lower computational and energy costs.
databricks
MARCH 12, 2025
In todays dynamic retail environment, staying connected to customer sentiments is more crucial than ever. With shoppers sharing their experiences across countless platforms, retailers are.
KDnuggets
MARCH 10, 2025
Find yourself running the same data cleaning steps time and again? Learn how to automate some of this boring stuff using Python and pandas.
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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?
Hevo
MARCH 9, 2025
Does your organization rely on real-time analytics for decision-making, or is your product itself a real-time application? Either way, systems majorly fail when the database can’t keep up. That’s why Amazon introduced DynamoDB, a serverless, cloud database that tracks data modifications in real time through change data capture(CDC).
Uber Engineering
MARCH 10, 2025
From x86 to Arm: How we cut Uber’s infrastructure costs by rebuilding our stack into a multi-architecture environment. Learn how we overcame technical hurdles to unlock performance gains and ultimate supply chain flexibility.
Edureka
MARCH 15, 2025
Deep Convolutional Generative Adversarial Networks (DCGANs) – a subclass of Generative Adversarial Networks (GANs) – have utilized convolutional neural networks (CNNs) to synthesize good-quality images. The architecture was established by Radford et al. in 2015, significantly improving the original GANs from their earlier forms as it innovates these architectural changes that lead to stabilizing the training process and also further the quality of generated images.
databricks
MARCH 11, 2025
As part of our Week of AI agents initiative, were introducing new capabilities to help enterprises build and govern high-quality AI agents.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
KDnuggets
MARCH 10, 2025
Stop overpaying for LLM fine-tuning! Discover 5 affordable cloud alternatives to AWS & GCP.
Hevo
MARCH 9, 2025
Relational databases like Oracle have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.
ArcGIS
MARCH 10, 2025
This is the first installment in a series of blog articles focused on using ArcGIS Notebooks to map gentrification in US cities.
Edureka
MARCH 15, 2025
Salesforce’s Sales Cloud is a set of tools that are meant to help sales teams work faster and better. It has many features that make you more productive, such as managing leads and pipelines, forecasting, getting insights from AI, coaching tools for managers, integration with communication channels (like phone calls, text messages, and LinkedIn InMail), sales cadences for easier outreach, and a powerful to-do list for keeping track of your daily tasks.
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With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.
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