Sat.Jul 15, 2023 - Fri.Jul 21, 2023

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H1 2023 Analytics & Data Science Spend & Trends Report

KDnuggets

The All Things Insights and marketing analytics and data science community completed an extensive survey covering what executives are thinking, how they’re spending and the issues and opportunities they face. Grab your free copy now.

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Building an an Early Stage Startup: Lessons from Akita Software

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only deepdive on Advice on how to sell a startup. To get full issues twice a week, subscribe here.

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How to initialize state in Apache Spark Structured Streaming stateful jobs?

Waitingforcode

Starting from Apache Spark 3.2.0 is now possible to load an initial state of the arbitrary stateful pipelines. Even though the feature is easy to implement, it hides some interesting implementation details!

IT 130
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Data Engineering Best Practices - #1. Data flow & Code

Start Data Engineering

1. Introduction 2. Sample project 3. Best practices 3.1. Use standard patterns that progressively transform your data 3.2. Ensure data is valid before exposing it to its consumers (aka data quality checks) 3.3. Avoid data duplicates with idempotent pipelines 3.4. Write DRY code & keep I/O separate from data transformation 3.5. Know the when, how, & what (aka metadata) of pipeline runs for easier debugging 3.

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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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Datapreneurs - How Todays Business Leaders Are Using Data To Define The Future

Data Engineering Podcast

Summary Data has been one of the most substantial drivers of business and economic value for the past few decades. Bob Muglia has had a front-row seat to many of the major shifts driven by technology over his career. In his recent book "Datapreneurs" he reflects on the people and businesses that he has known and worked with and how they relied on data to deliver valuable services and drive meaningful change.

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4 Alternatives to Fivetran: The Evolving Dynamics of the ETL & ELT Tool Market

Seattle Data Guy

The ETL & ELT tool market is experiencing continuous transformation, propelled by fluctuating pricing structures and the advent of inventive alternatives. This industry remains fiercely competitive due to these changing elements and a swiftly growing user base. In the following sections, we will explore four emerging alternatives to Fivetran. Of course, that is if you… Read more The post 4 Alternatives to Fivetran: The Evolving Dynamics of the ETL & ELT Tool Market appeared first

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How SAS can help catapult practitioners’ careers

KDnuggets

Let's explore the journeys of SAS users who harnessed the power of SAS to unlock new opportunities and achieve their career goals.

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How to Build a 5-Layer Data Stack

Towards Data Science

Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale. Image courtesy of author. We hope it doesn’t make your eyes water. Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline.

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Building your Generative AI apps with Meta's Llama 2 and Databricks

databricks

Today, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development.

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Introducing the Connect with Confluent Partner Program: Supercharging Customer Growth and Extending the Data Streaming Ecosystem

Confluent

Gain the easiest solution for data streaming and increase data flow to your platform through native integrations with Confluent Cloud and 120+ Kafka connectors.

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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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Exploring the Power and Limitations of GPT-4

KDnuggets

Unveiling GPT-4: Deciphering its impact on data science and exploring its strengths and boundaries.

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How ThoughtSpot Partnered with Google Cloud to put AI at the center of BI

ThoughtSpot

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data. In order to achieve this vision, we knew we’d need to work with some of the best, most innovative technology companies across the modern data stack —companies that put their users fir

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Never Miss a Beat: Announcing New Monitoring and Alerting capabilities in Databricks Workflows

databricks

We are excited to announce enhanced monitoring and observability features in Databricks Workflows. This includes a new real-time insights dashboard to see all.

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5 Inspiring Learning Resources That Help Me Stay on Top of Data Analytics

Towards Data Science

5 Inspiring Learning Resources to Propel Your Skills and Expertise Continue reading on Towards Data Science »

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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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ChatGPT Dethroned: How Claude Became the New AI Leader

KDnuggets

Putting the world to shame.

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Getting started with SAR satellite imagery

ArcGIS

This blog shares the resource to the ArcGIS Pro Learn Series about SAR satellite imagery.

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Databricks + MosaicML

databricks

Today, we’re excited to share that we’ve completed our acquisition of MosaicML, a leading platform for creating and customizing generative AI models for you.

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Unlocking the Secrets of Slowly Changing Dimension (SCD): A Comprehensive View of 8 Types

Towards Data Science

Deep Dive Guide for When and How to Use 8 Types of SCD Continue reading on Towards Data Science »

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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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The Drag-and-Drop UI for Building LLM Flows: Flowise AI

KDnuggets

Don’t have any coding experience? Don’t worry. Check out this drag-and-drop tool that helps you to build your own customized LLM flows. And guess what, you don’t have to be a tech professional!

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Analyzing Time Series for Pinterest Observability

Pinterest Engineering

Brian Overstreet | Software Engineer, Observability; Humsheen Geo | Software Engineer, Observability Time series is a critical part of Observability at Pinterest, powering 60,000 alerts and 5,000 dashboards. A time series is an identifier with values where the values are associated with a timestamp. Given the widespread use and critical nature of time series, it’s important to give engineers the ability to adequately express what operations to perform on the time series in a readable, understand

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Go from Months to Hours with Databricks Marketplace for Retailers

databricks

Let's say a distributor reached out wanting to understand what factors are driving the sale of carbonated beverages from customers in their convenience.

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Layers of Data Quality

Towards Data Science

Where and how to address problems with your data Continue reading on Towards Data Science »

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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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ChatGPT-Powered Data Exploration: Unlock Hidden Insights in Your Dataset

KDnuggets

A guide to using ChatGPT for exploratory data analysis. Use ChatGPT to explore a dataset, generate visualizations, and gain insights.

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How to Build a 5-Layer Data Stack

Monte Carlo

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline.

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The Executive’s Guide to Data, Analytics and AI Transformation, Part 7: Move to production and scale adoption

databricks

This is part seven of a multi-part series to share key insights and tactics with Senior Executives leading data and AI transformation initiatives.

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Storing a network diagram or not… This is a real question to consider!

ArcGIS

The purpose is to learn what network diagram storage means and provide guidance to avoid unnecessarily increasing database sizes.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Unveiling the Power of Meta’s Llama 2: A Leap Forward in Generative AI?

KDnuggets

This article explores the technical details and implications of Meta's newly released Llama 2, a large language model that promises to revolutionize the field of generative AI. We delve into its capabilities, performance, and potential applications, while also discussing its open-source nature and the company's commitment to safety and transparency.

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Processing Data At Scale With MapReduce

Towards Data Science

A deep dive into MapReduce and parallelization Continue reading on Towards Data Science »

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Simplified Analytics Engineering with Databricks and dbt Labs

databricks

For over a year now, Databricks and dbt Labs have been working together to realize the vision of simplified real-time analytics engineering, combining.

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Bringing HDR video to Reels

Engineering at Meta

Meta has made it possible for people to upload high dynamic range (HDR) videos from their phone’s camera roll to Reels on Facebook and Instagram. To show standard dynamic range (SDR) UI elements and overlays legibly on top of HDR video, we render them at a brightness level comparable to the video itself. We solved various technical challenges to ensure a smooth transition to HDR video across the diverse range of old and new devices that people use to interact with our services every day.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m