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VMware Cross-Cloud Architecture: Automate and orchestrate your Software-Defined Data Center on AWS

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Microsoft Dynamics AX 2012 Reporting Cookbook: There no better way of getting to grips with the Dynamics AX framework than learning by example. This cookbook is packed with recipes for creating and managing reports along with full explanations for complete understanding.

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Dynamics 365 Essentials: Getting Started with Dynamics 365 Apps in the Common Data Service

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Microsoft Power BI Performance Best Practices: A comprehensive guide to building consistently fast Power BI solutions

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Democratizing RPA with Power Automate Desktop: Boost your productivity by implementing best practices for automating repetitive desktop processes

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Microsoft Dynamics NAV Development Quick Start Guide: Get up and running with Microsoft Dynamics NAV

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Big Data Visualization: Bring scalability and dynamics to your Big Data visualization

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The Kubernetes Operator Framework Book: Overcome complex Kubernetes cluster management challenges with automation toolkits

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Unlocking the Potential of Big Data with Power BI for Real-Time Analysis and Visualizations

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Microsoft System Center 2016 Orchestrator Cookbook: Simplify the automation of your administrative tasks

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Mastering Azure Serverless Computing: Design and Implement End-to-End Highly Scalable Azure Serverless Solutions with Ease

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Extending Dynamics 365 Finance and Operations Apps with Power Platform: Integrate Power Platform solutions to maximize the efficiency of your Finance & Operations projects

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Microsoft Azure Architect Technologies: Exam Guide AZ-300: A guide to preparing for the AZ-300 Microsoft Azure Architect Technologies certification exam

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Developing Cloud Native Applications in Azure using .NET Core: A Practitioner’s Guide to Design, Develop and Deploy Apps

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SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics

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Mastering Azure Kubernetes Service (AKS): Rapidly Build and Scale Your Containerized Applications with Microsoft Azure Kubernetes Service (English Edition)

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Summary of Building a Second Brain: by Tiago Forte - A Proven Method to Organize Your Digital Life and Unlock Your Creative Potential - A Comprehensive Summary

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Blockchain Basics: A Non-Technical Introduction in 25 Steps

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SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL

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SQL Programming & Database Management For Absolute Beginners SQL Server, Structured Query Language Fundamentals: "Learn - By Doing" Approach And Master SQL

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LINUX: Beginner's Crash Course. Your Step-By-Step Guide To Learning The Linux Operating System And Command Line Easy & Fast!

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Harnessing Generative AI For Creating Educational Content With Illumidesk: Generative AI has unlocked a massive opportunity for content creation. There is also an unfulfilled need for experts to be able to share their knowledge and build communities. Illumidesk was built to take advantage of this intersection. In this episode Greg Werner explains how they are using generative AI as an assistive tool for creating educational material, as well as building a data driven experience for learners.

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Surveying The Market Of Database Products: Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection.

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An Overview Of The Sate Of Data Orchestration In An Increasingly Complex Data Ecosystem: Data systems are inherently complex and often require integration of multiple technologies. Orchestrators are centralized utilities that control the execution and sequencing of interdependent operations. This offers a single location for managing visibility and error handling so that data platform engineers can manage complexity. In this episode Nick Schrock, creator of Dagster, shares his perspective on the state of data orchestration technology and its application to help inform its implementation in your environment.

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Building An Internal Database As A Service Platform At Cloudflare: Data persistence is one of the most challenging aspects of computer systems. In the era of the cloud most developers rely on hosted services to manage their databases, but what if you are a cloud service? In this episode Vignesh Ravichandran explains how his team at Cloudflare provides PostgreSQL as a service to their developers for low latency and high uptime services at global scale. This is an interesting and insightful look at pragmatic engineering for reliability and scale.

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Low Code And High Quality Data Engineering For The Whole Organization With Prophecy: An interview with Raj Bains about how the Prophecy platform provides a smooth experience for the whole organization to build high quality data engineering workflows with a unified model that brings engineers and business users together in one experience.

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Defining A Strategy For Your Data Products: The primary application of data has moved beyond analytics. With the broader audience comes the need to present data in a more approachable format. This has led to the broad adoption of data products being the delivery mechanism for information. In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products.

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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable: Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. In this episode Eric Sammer discusses why more companies are including real-time capabilities in their products and the ways that Decodable makes it faster and easier.

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Making Email Better With AI At Shortwave: Generative AI has rapidly transformed everything in the technology sector. When Andrew Lee started work on Shortwave he was focused on making email more productive. When AI started gaining adoption he realized that he had even more potential for a transformative experience. In this episode he shares the technical challenges that he and his team have overcome in integrating AI into their product, as well as the benefits and features that it provides to their customers.

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Addressing The Challenges Of Component Integration In Data Platform Architectures: Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components. In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team.

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How Data Engineering Teams Power Machine Learning With Feature Platforms: Feature engineering is a crucial aspect of the machine learning workflow. To make that possible, there are a number of technical and procedural capabilities that must be in place first. In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features.

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Building ETL Pipelines With Generative AI: Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI.

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Eliminate The Overhead In Your Data Integration With The Open Source dlt Library: Cloud data warehouses and the introduction of the ELT paradigm has led to the creation of multiple options for flexible data integration, with a roughly equal distribution of commercial and open source options. The challenge is that most of those options are complex to operate and exist in their own silo. The dlt project was created to eliminate overhead and bring data integration into your full control as a library component of your overall data system. In this episode Adrian Brudaru explains how it works, the benefits that it provides over other data integration solutions, and how you can start building pipelines today.

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Enhancing The Abilities Of Software Engineers With Generative AI At Tabnine: Software development involves an interesting balance of creativity and repetition of patterns. Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. In this episode Eran Yahav shares the journey that he has taken in building this product and the ways that it enhances the ability of humans to get their work done, and when the humans have to adapt to the tool.

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Powering Vector Search With Real Time And Incremental Vector Indexes: The rapid growth of machine learning, especially large language models, have led to a commensurate growth in the need to store and compare vectors. In this episode Louis Brandy discusses the applications for vector search capabilities both in and outside of AI, as well as the challenges of maintaining real-time indexes of vector data.

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WBSP293: Grow Your Business by Learning the Specification Management Strategies w/ Matthew Wright

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The Changing Faces of Data and Analytics

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Shining Some Light In The Black Box Of PostgreSQL Performance: Databases are the core of most applications, but they are often treated as inscrutable black boxes. When an application is slow, there is a good probability that the database needs some attention. In this episode Lukas Fittl shares some hard-won wisdom about the causes and solution of many performance bottlenecks and the work that he is doing to shine some light on PostgreSQL to make it easier to understand how to keep it running smoothly.

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Make Your Business Metrics Reusable With Open Source Headless BI Using Metriql: An interview with Burak Kabakcı about the open source headless BI system Metriql and how it provides a central system for defining and using key business metrics.

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WBSP261: Grow Your Business by Understanding Acumatica's Capabilities, an Objective Panel Discussion and Weekly Digital Transformation News Stories

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Designing A Non-Relational Database Engine: Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

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Tackling Real Time Streaming Data With SQL Using RisingWave: Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

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WBSP336: Grow Your Business by Understanding Epicor Kinetic's Capabilities, an Objective Panel Discussion

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Run Your Own Anomaly Detection For Your Critical Business Metrics With Anomstack: If your business metrics looked weird tomorrow, would you know about it first? Anomaly detection is focused on identifying those outliers for you, so that you are the first to know when a business critical dashboard isn't right. Unfortunately, it can often be complex or expensive to incorporate anomaly detection into your data platform. Andrew Maguire got tired of solving that problem for each of the different roles he has ended up in, so he created the open source Anomstack project. In this episode he shares what it is, how it works, and how you can start using it today to get notified when the critical metrics in your business aren't quite right.

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Building Linked Data Products With JSON-LD: A significant amount of time in data engineering is dedicated to building connections and semantic meaning around pieces of information. Linked data technologies provide a means of tightly coupling metadata with raw information. In this episode Brian Platz explains how JSON-LD can be used as a shared representation of linked data for building semantic data products.

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Reduce The Overhead In Your Pipelines With Agile Data Engine's DataOps Service: A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. DataOps has arisen as a parallel set of practices to that of DevOps teams as a means of reducing wasted effort. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow. In this episode Tevje Olin explains how the platform is implemented, the features that it provides to reduce the amount of effort required to keep your pipelines running, and how you can start using it in your own team.

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Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer: Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem. In this episode Artyom Keydunov, creator of Cube, discusses the evolution and applications of the semantic layer as a component of your data platform, and how Cube provides speed and cost optimization for your data consumers.

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Designing Data Transfer Systems That Scale: The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Andrei Tserakhau has dedicated his careeer to this problem, and in this episode he shares the lessons that he has learned and the work he is doing on his most recent data transfer system at DoubleCloud.

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Build Your Second Brain One Piece At A Time: Generative AI promises to accelerate the productivity of human collaborators. Currently the primary way of working with these tools is through a conversational prompt, which is often cumbersome and unwieldy. In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use. In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain.

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Adding An Easy Mode For The Modern Data Stack With 5X: The "modern data stack" promised a scalable, composable data platform that gave everyone the flexibility to use the best tools for every job. The reality was that it left data teams in the position of spending all of their engineering effort on integrating systems that weren't designed with compatible user experiences. The team at 5X understand the pain involved and the barriers to productivity and set out to solve it by pre-integrating the best tools from each layer of the stack. In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value.

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Cloud SQL Insights with Nimesh Bhagat: This week on the podcast, Mark Mirchandani and Gabi Ferrara talk with Nimesh Bhagat about Cloud SQL Insights.