Thu.May 09, 2024

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Using Groq Llama 3 70B Locally: Step by Step Guide

KDnuggets

Learn how to generate super fast responses in Jan AI and VSCode using Groq LPU Inference Engine.

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How to reduce your Snowflake cost

Start Data Engineering

1. Introduction 2. Snowflake pricing and settings inheritance model 3. Strategies to reduce Snowflake cost 3.1. Quick wins by changing settings 3.1.1. Update warehouse settings 3.2. Analyze usage and optimize table data storage 3.2.1. Identify expensive queries and optimize them 3.2.1.1. Identify expensive queries with query_history 3.2.1.2. Optimize expensive queries 3.2.2.

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5 Machine Learning Papers to Read in 2024

KDnuggets

Enrich your knowledge with these papers

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mapGroupsWithState and.batch?

Waitingforcode

That's one of my recent surprises. While I have been exploring arbitrary stateful processing, hence the mapGroupsWithState among others, I mistakenly created a batch DataFrame and applied the mapping function on top of it. Turns out, it worked! Well, not really but I let you discover why in this blog post.

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A Guide to Debugging Apache Airflow® DAGs

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

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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). This generative powerhouse has fueled vertical integration, giving rise to industry-specific solutions that harness the full potential of generative capabilities and unlocked the imagination of many.

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Working with EMIT Hyperspectral Imagery in ArcGIS

ArcGIS

ArcGIS's capabilities for visualizing and analyzing EMIT hyperspectral imagery bridge the gap between NASA's science data and GIS users.

Data 111

More Trending

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Light and dark color schemes

ArcGIS

Watch this short video to learn how to choose color schemes that work well with light or dark basemaps.

Designing 109
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We’ll See You at the Gartner Data and Analytics Summit

Cloudera

The Gartner Data and Analytics Summit in London is quickly approaching on May 13 th to 15 th , and the Cloudera team is ready to hit the show floor! The theme of this year’s summit, “Generating Value Together: Creating Synergies between Data, Analytics & AI,” could not have come at a better time as we push forward on our AI and analytics journey together.

Banking 102
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What’s new for GeoAI in the Image Analyst extension of ArcGIS Pro 3.3

ArcGIS

ArcGIS Pro 3.3 boosts Image Analyst's AI power! Dive into the new GeoAI features for smarter image analysis.

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Disrupting the Status Quo Through Data and AI: Celebrating the 2024 Data Team Disruptor Award Nominees

databricks

The annual Data Team Awards highlight how diverse enterprise data teams are tackling some of the most prevalent and complex issues facing the.

Data 98
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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Six Sigma Green Belt Project Examples & How to Execute?

Knowledge Hut

The Lean Six Sigma Green Belt certification is an important step in becoming a master of the lean six sigma technique and leading improvement projects for a company. LSS Green Belts identify critical areas for improvement and play a key role in executing the necessary changes, based on the ideas and abilities learned throughout LSS Yellow Belt training.

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Introducing Cloudera’s AI Assistants

Cloudera

In the last couple of years, AI has launched itself to the forefront of technology initiatives across industries. In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.

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Turning marker fills and patterns to map-ready points in ArcGIS Pro

ArcGIS

Cartographic finishing for polygon marker symbol layers with the new Convert marker placement to points tool.

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Hive vs SQL: 5 Critical Differences

Hevo

Apache Hive is a Data Warehouse system that facilitates writing, reading, and manipulating large datasets residing across distributed storage using SQL. SQL (Structured Query Language) is a querying language that is used to perform various operations on the records stored in a database.

SQL 52
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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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How to Install and Setup React Native on Ubuntu?

Knowledge Hut

React is a well-known JavaScript framework for developing front-end applications. It became popular through the use of intuitive programming paradigms that tie JavaScript to an HTML-like system known as JSX. This allows developers to create their applications in a shorter time. Initially, setting up a new React project used to involve complex multi-stage process es such as setting a build system, converting the code transpiler to a code readable by all browsers and the basic directory structure.

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Oracle Vs Teradata: 6 Critical Differences

Hevo

In Today’s data-driven modern world, competition between companies is prevalent when they offer similar products. In a competitive market, providing the best services and products and having the majority of customers for a particular product does help shape a company’s profit.

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Highest Paying Data Science Jobs in the World

Knowledge Hut

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. But which data science jobs pay the most? From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and secto

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Amazon Redshift vs Oracle ADW: 9 Simple Key Differences

Hevo

Given that the world of Big Data often involves the world of Data Warehouses and dealing with massive datasets, it should come as no surprise that a modern Cloud Data Warehouse should be easily Scalable, Fault-Tolerant, and Secure. This post compares two Cloud Data Warehouse Services — Amazon Redshift vs Oracle ADW.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Data Mart vs Data Warehouse: 7 Critical Differences

Hevo

Data platforms are a key ingredient of business success in the current era. Organizations that make better use of their data have a definite edge over their competitors. Making the most of the data is easier said than done.

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Amazon Kinesis vs Kafka: 5 Critical Differences

Hevo

Data is all around us. There is a firehose of information coming from social networks, financial trading floors, and geospatial services. Collecting, storing, and analyzing this type of high throughput information helps organizations stay up-to-date with customers but requires complex infrastructure that can be expensive to manage.

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Standard SQL vs Legacy SQL BigQuery: The Dialects Simplified 101

Hevo

Venturing into Data Science and deciding on a tool to use to solve a given problem can be challenging at times especially when you have a wide array of choices.

SQL 40
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Google BigQuery vs Athena: 7 Critical Differences

Hevo

Today every organization is moving to serverless cloud offerings to solve many of the data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such a situation, they are drawn towards feature-rich cloud-based tools. However, businesses are often confused when comparing cloud-based products and services.

Cloud 40
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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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AWS Aurora vs Snowflake: 5 Critical Differences

Hevo

Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to your mind? That’s a database and a data warehouse, right? And database management systems (DBMS) act as the interface between the user and the database.

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