Azure Synapse Analytics Cookbook: Implement a limitless analytical platform using effective recipes for Azure Synapse

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Mastering Azure Synapse Analytics: Learn how to develop end-to-end analytics solutions with Azure Synapse Analytics (English Edition)

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Ultimate Azure Synapse Analytics

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Hands-On Azure Data Platform: Building Scalable Enterprise-Grade Relational and Non-Relational database Systems with Azure Data Services

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Azure Data Engineer Associate Certification Guide: Ace the DP-203 exam with advanced data engineering skills

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Engineering Data Mesh in Azure Cloud: Implement data mesh using Microsoft Azure's Cloud Adoption Framework

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Ultimate Azure Data Engineering: Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications (English Edition)

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Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

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Hands-on Cloud Analytics with Microsoft Azure Stack

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Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases

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Ultimate AWS Data Engineering: Design, Implement, and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact

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Data Analytics with Google Cloud Platform: Build Real Time Data Analytics on Google Cloud Platform

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Data Engineering with AWS Cookbook: A recipe-based approach to help you tackle data engineering problems with AWS services

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SAP on Azure Implementation Guide: Move your business data to the cloud

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Cloud Data Architectures Demystified: Gain the expertise to build Cloud data solutions as per the organization's needs (English Edition)

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Data Analytics with SAS: Explore your data and get actionable insights with the power of SAS (English Edition)

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Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence

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Data Engineering with Scala and Spark: Build streaming and batch pipelines that process massive amounts of data using Scala

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Databricks Essentials: A Guide to Unified Data Analytics

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Amazon DynamoDB - The Definitive Guide: Explore enterprise-ready, serverless NoSQL with predictable, scalable performance

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Advanced Data Analytics with AWS: Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources (English Edition)

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Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

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Effective Business Intelligence with QuickSight

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Learn Microsoft Azure: Step by Step in 7 day for .NET Developers

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Learning Hunk

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Data Labeling in Machine Learning with Python: Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

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Cloud Native AI and Machine Learning on AWS: Use SageMaker for building ML models, automate MLOps, and take advantage of numerous AWS AI services (English Edition)

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Cloud Observability with Azure Monitor: A practical guide to monitoring your Azure infrastructure and applications using industry best practices

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Hands-on Data Virtualization with Polybase: Administer Big Data, SQL Queries and Data Accessibility Across Hadoop, Azure, Spark, Cassandra, MongoDB, CosmosDB, MySQL and PostgreSQL (English Edition)

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MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations

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Business Analytics with SAS Studio: Deliver Business Intelligence by Combining SQL Processing, Insightful Visualizations, and Various Data Mining Techniques

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Hidden Figures: The American Dream and the Untold Story of the Black Women Mathematicians Who Helped Win the Space Race

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Mastering ChatGPT: 21 Prompts Templates for Effortless Writing

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The Innovators: How a Group of Hackers, Geniuses, and Geeks Created the Digital Revolution

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

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Elon Musk

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The Invisible Rainbow: A History of Electricity and Life

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The Professional Voiceover Handbook: Voiceover training, #1

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Alan Turing: The Enigma: The Book That Inspired the Film The Imitation Game - Updated Edition

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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

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Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics

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Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees

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Learning the Chess Openings

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ChatGPT Money Machine 2024 - The Ultimate Chatbot Cheat Sheet to Go From Clueless Noob to Prompt Prodigy Fast! Complete AI Beginner’s Course to Catch the GPT Gold Rush Before It Leaves You Behind

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Deep Search: How to Explore the Internet More Effectively

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CompTIA Security+ Get Certified Get Ahead: SY0-701 Study Guide

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Slenderman: Online Obsession, Mental Illness, and the Violent Crime of Two Midwestern Girls

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Some Future Day: How AI Is Going to Change Everything

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The ChatGPT Millionaire Handbook: Make Money Online With the Power of AI Technology

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Procreate for Beginners: Introduction to Procreate for Drawing and Illustrating on the iPad

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Uncanny Valley: A Memoir

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How to Write a Book: An 11-Step Process to Build Habits, Stop Procrastinating, Fuel Self-Motivation, Quiet Your Inner Critic, Bust Through Writer's Block, & Let Your Creative Juices Flow (Short Read)

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Data Analytics for Beginners: Introduction to Data Analytics

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How to Raise a Healthy Gamer: End Power Struggles, Break Bad Screen Habits, and Transform Your Relationship with Your Kids

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People Skills for Analytical Thinkers

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Excel 101: A Beginner's & Intermediate's Guide for Mastering the Quintessence of Microsoft Excel (2010-2019 & 365) in no time!

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How to Create Cpn Numbers the Right way: A Step by Step Guide to Creating cpn Numbers Legally

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101 Awesome Builds: Minecraft®™ Secrets from the World's Greatest Crafters

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The Hacker Crackdown: Law and Disorder on the Electronic Frontier

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Creating Online Courses with ChatGPT | A Step-by-Step Guide with Prompt Templates

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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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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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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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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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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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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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BigLake with Gaurav Saxena and Justin Levandoski: and Debi Cabrera are learning all about BigLake from guests and of the BigQuery team. BigLake offers unified data management from both data warehouses and data lakes. What exactly is the difference between a data warehouse and a data lake? Justin...

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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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Use Your Data Warehouse To Power Your Product Analytics With NetSpring: With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own category and brought with it several services with generational differences in how they approach the problem. NetSpring is a warehouse-native product analytics service that allows you to gain powerful insights into your customers and their needs by combining your event streams with the rest of your business data. In this episode Priyendra Deshwal explains how NetSpring is designed to empower your product and data teams to build and explore insights around your products in a streamlined and maintainable workflow.

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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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End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256: In this episode of our Strata Data conference series, we’re joined by Burcu Baran, Senior Data Scientist at LinkedIn. At Strata, Burcu, along with a few members of her team, delivered the presentation “Using the full spectrum of data science to...

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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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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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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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The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse: Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they constrain the possibilities of what data you can store and how it can be used. Projects like Apache Iceberg provide a viable alternative in the form of data lakehouses that provide the scalability and flexibility of data lakes, combined with the ease of use and performance of data warehouses. Ryan Blue helped create the Iceberg project, and in this episode he rejoins the show to discuss how it has evolved and what he is doing in his new business Tabular to make it even easier to implement and maintain.

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Cloud Spanner Revisited with Dilraj Kaur and Christoph Bussler: Mark Mirchandani and Stephanie Wong are back this week as we learn about all the new things happening with Google Cloud Spanner.

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

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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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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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Understanding Time-Series Database Patterns

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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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Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary: Working with data is a complicated process, with numerous chances for something to go wrong. Identifying and accounting for those errors is a critical piece of building trust in the organization that your data is accurate and up to date. While there are numerous products available to provide that visibility, they all have different technologies and workflows that they focus on. To bring observability to dbt projects the team at Elementary embedded themselves into the workflow. In this episode Maayan Salom explores the approach that she has taken to bring observability, enhanced testing capabilities, and anomaly detection into every step of the dbt developer experience.

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The Changing Faces of Data and Analytics

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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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Using Data To Illuminate The Intentionally Opaque Insurance Industry: The insurance industry is notoriously opaque and hard to navigate. Max Cho found that fact frustrating enough that he decided to build a business of making policy selection more navigable. In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry.

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Cloud SQL with Amy Krishnamohan: We're learning all about Cloud SQL this week with our guest, Amy Krishnamohan.

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Spanner Myths Busted with Pritam Shah and Vaibhav Govil: This week, we’re busting myths around Google Cloud Spanner with our guests Pritam Shah and Vaibhav Govil. and host this episode and learn about the fantastic capabilities of Cloud Spanner. Our guests give us a quick run-down of Spanner database...