Thu.May 09, 2024

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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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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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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 101
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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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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?

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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 105

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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.

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Accelerate GenAI App Development with New Updates to Databricks Model Serving

databricks

Last year, we launched foundation model support in Databricks Model Serving to enable enterprises to build secure and custom GenAI apps on a.

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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.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

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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.

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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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5 Machine Learning Papers to Read in 2024

KDnuggets

Enrich your knowledge with these papers

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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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.

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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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.

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