Tue.Nov 14, 2023

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What is an Open Table Format? & Why to use one?

Start Data Engineering

1. Introduction 2. What is an Open Table Format (OTF) 3. Why use an Open Table Format (OTF) 3.0. Setup 3.1. Evolve data and partition schema without reprocessing 3.2. See previous point-in-time table state, aka time travel 3.3. Git like branches & tags for your tables 3.4. Handle multiple reads & writes concurrently 4. Conclusion 5. Further reading 6.

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The Data Discovery Team

Jesse Anderson

A Guest Post by Ole Olesen-Bagneux In this blog post I would like to describe a new data team, that I call ‘the data discovery team’. It’s a team that connects naturally into the constellation of the three data teams Operations team Data engineering team Data Science team as described in Jesse Anderson’s book Data Teams (2020) Before I explain what the data discovery team should do, it is necessary to add a bit of context on the concept of data discovery itself.

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Apache Flink - anatomy of a job

Waitingforcode

Have you written your first successful Apache Flink job and are still wondering the high-level API translates into the executable details? I did and decided to answer the question in the new blog post.

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Fleetclusters for Databricks + AWS to reduce Costs.

Confessions of a Data Guy

Show me the money. That’s what it’s all about. I have a question for you, to tickle your ears and mind. Get you out of that humdrum funk you are in. Here is my question, riddle me this all you hobbits. “Of what use is, and what good does the best and most advanced architecture […] The post Fleetclusters for Databricks + AWS to reduce Costs. appeared first on Confessions of a Data Guy.

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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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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information. Why are you still telling us this, Monica?

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What’s new from the geodatabase team in ArcGIS Pro 3.2

ArcGIS

Here's everything new in ArcGIS Pro 3.2 from the Geodatabase Team. Schema Reports, 64-bit OIDs, Big Integer fields, new date fields, etc.

More Trending

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Deep Learning for Image Analyst – What’s New in ArcGIS Pro 3.2

ArcGIS

This blog details the new features and enhancements that were add for deep learning using the Image Analyst extension - for Pro 3.2.

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3. Psyberg: Automated end to end catch up

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state of our pipelines after incorporating Psyberg.

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Everything you need to become a SAS Certified Machine Learning Engineer

KDnuggets

Read on to find out everything you need to become a SAS Certified Machine Learning Engineer.

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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team. In this post, we will delve into a more detailed exploration of Psyberg’s two primary operational modes: stateless and stateful.

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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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Snowflake Customers Rank Cost-Effectiveness and Ease-of-Use as Top Benefits in New KLAS Research Report

Snowflake

See why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. Since 1996, the analyst firm has been leading the healthcare IT (HIT) industry in providing accurate, honest and impartial insights about vendor solutions and customer satisfaction metrics.

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Demystifying SAR Satellite Data in ArcGIS Pro: ICEYE

ArcGIS

This article is specific to ICEYE SAR satellite data and is part of a blog series on sensor support in ArcGIS Pro.

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7 Steps to Running a Small Language Model on a Local CPU

KDnuggets

Discover how to run a small language model on your local CPU in just seven easy steps.

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Data and AI as the Key to Unlocking Financial Inclusion

Cloudera

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. But as a thought experiment, imagine trying to buy a home or a car without the ability to take out a loan. Try depending on cash payments from your employer, or relying on alternative banking solutions like short-term payday loans, check-cashing services, and prepaid debit cards.

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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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Modernize Payments Architecture for ISO 20022 Compliance

Confluent

Learn how Confluent helps financial services modernize payment platforms. Ensure interoperability between legacy payments messaging data while standardizing on the new ISO 20022 format.

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Are Apache Iceberg Tables Right For Your Data Lake? 6 Reasons Why.

Monte Carlo

Does it feel colder in here or is it all this Apache Iceberg talk? Over the last few months, Apache Iceberg has come to the forefront as a promising new open-source table format that removes many of the largest barriers to lakehouse adoption – namely, the high-latency and lack of OLTP (Online Transaction Processing) support afforded by Apache Hive. Databricks announced that Delta tables metadata will also be compatible with the Iceberg format, and Snowflake has also been moving aggressively to i

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How to create and use a custom vertical transformation in ArcGIS Pro

ArcGIS

Learn how to create and apply a custom vertical transformation in ArcGIS Pro.

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The Chief AI Officer: Avoid The Trap of Conway’s Law

Ascend.io

Conway’s law states that organizations will invariably design systems that mirror their internal communication and organizational structures. This foundational insight into the very fabric of organizational behavior also applies to how many enterprises are approaching the AI opportunity. If you look closely, the solutions being proposed in your organization will likely reflect current departmental silos, legacy objectives, internal politics, and traditional power centers.

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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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Privacy Engineering at DoorDash Drive

DoorDash Engineering

DoorDash proactively embeds privacy into our products. As an example of how we do so, we delve here into an engineering effort to maintain user privacy. We will show how geomasking address data allows DoorDash to protect user privacy while maintaining local analytic capabilities. Privacy engineering overview To facilitate deliveries, users must give us some personal information, including such things as names, addresses, and phone numbers, in a Drive API request.

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From Fiction to Reality: ChatGPT and the Sci-Fi Dream of True AI Conversation

KDnuggets

Have our Sci-Fi dreams become reality?

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Data Orchestration Tools (Quick Reference Guide)

Monte Carlo

Imagine, if you will, a world where data just… flows. No hiccups. No “Oops, wrong format.” Just smooth, seamless operations. This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. Similar to a traffic director for information, data orchestration tools gather data from various locations, organize it into a usable format, and then activate it for analysis and consumption.

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A quick tour of data distribution technologies by David Hope

Scott Logic

In this post we’ll take a look at queues, logs and pub/sub systems in order to understand the options for sending data asynchronously between services. We’ll provide examples of each and discuss the tradeoffs that must be made. Introduction In any organisation there is a need to distribute data from a source system to other systems. This is especially true with the modern micro-services architecture.

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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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Expert Insights on Developing Safe, Secure, and Trustworthy AI Frameworks

KDnuggets

In alignment with President Biden's recent Executive Order emphasizing safe, secure, and trustworthy AI, we share our Trusted AI (TAI) lessons learned two years into the course of our US Federally funded TAI research projects.

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