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How to size and scale Apache Kafka, without tears

The first step to sizing or scaling Kafka for optimal cost and performance is understanding how the data streaming platform uses resources. Here’s a primer.

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The future of data transformation is collaborative

Data-driven decision-making suffers from a mismatch between the tools, skills, and understanding of IT and data consumers in most enterprises. Here’s how to bridge the gap.

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People and Python in AI

If you want to squeeze the most value from your data, teach your employees Python and Excel instead of specialized programming languages.

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Starburst Enterprise, Galaxy updated to support on-prem connectivity, storage

The company has also integrated Databricks’ Unity Catalog governance tool to provide an additional metastore alongside AWS Glue, Hive HMS, and the Galaxy Metastore.

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A deep dive into caching in Presto

Understand the caching mechanisms for the popular distributed SQL engine and how to use them to improve query speed and efficiency.

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SAS Viya analytics suite gets SaaS-based AI app development tools

The new offerings will allow enterprises to automate the setup and integration of a cloud-native technology stack to let developers focus on getting AI models and AI-driven applications into production.

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7 Python libraries for parallel processing

Do you need to distribute a heavy Python workload across multiple CPUs or a compute cluster? Here are seven frameworks up to the task.

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What is Llama 2? Meta’s large language model explained

Llama 2 is a family of generative text models that are optimized for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. Code Llama models are fine-tuned for programming tasks.

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IBM unveils generative AI foundation models

IBM Granite series foundation models apply generative AI to natural language and coding tasks. Plus, Watsonx generative AI capabilities are coming to the Watsonx data lakehouse.

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Launch into satellite applications with Microsoft Azure

Microsoft’s Azure Space platform and Azure Orbital Space SDK are taking edge computing to the final frontier, starting with satellite image processing, geospatial, and communications applications.

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3 keys to making data democratization a reality

How do you build an organization of confident data users who are more responsive to customer needs? Focus on these three priorities.

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What SQL users should know about time series data

Four key considerations to keep in mind when you need a database designed for analytical queries of vast quantities of time series data.

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How to take action against AI bias

Humans must be the custodians for preserving high-quality data as AI use continues to advance.

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Understanding OneLake and lakehouses in Microsoft Fabric

Microsoft Azure’s new, unified data platform aims to be your one-stop shop for analytics and machine learning at scale.

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What is generative AI? Artificial intelligence that creates

Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more...

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Teradata acquires Stemma to boost AI-based data search for analytics

Stemma offers integrations with data warehouses, business intelligence tools, collaboration software and security tools.

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Splunk’s new AI tools aim to ease security, observability tasks

The AI tools introduced at the company’s .conf2023 include the Splunk AI Assistant, Splunk Machine Learning Toolkit 5.4, Splunk App for Anomaly Detection, and the Splunk App for Data Science and Deep Learning 5.1.

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Where quantum computing is already delivering value

While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.

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