KDnuggets
JULY 17, 2023
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.
The Pragmatic Engineer
JULY 20, 2023
👋 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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Waitingforcode
JULY 21, 2023
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!
Start Data Engineering
JULY 20, 2023
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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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?
Data Engineering Podcast
JULY 16, 2023
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.
Seattle Data Guy
JULY 16, 2023
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
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
ThoughtSpot
JULY 18, 2023
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
Confluent
JULY 18, 2023
Gain the easiest solution for data streaming and increase data flow to your platform through native integrations with Confluent Cloud and 120+ Kafka connectors.
databricks
JULY 18, 2023
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.
Pinterest Engineering
JULY 18, 2023
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
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.
Engineering at Meta
JULY 17, 2023
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.
KDnuggets
JULY 21, 2023
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!
databricks
JULY 18, 2023
We are excited to announce enhanced monitoring and observability features in Databricks Workflows. This includes a new real-time insights dashboard to see all.
LinkedIn Engineering
JULY 19, 2023
Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. Leveraging data to drive decisions allows us to serve our members with better job insights, and connect the world’s professionals with each other.
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.
ArcGIS
JULY 18, 2023
The purpose is to learn what network diagram storage means and provide guidance to avoid unnecessarily increasing database sizes.
KDnuggets
JULY 19, 2023
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.
databricks
JULY 19, 2023
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.
Workfall
JULY 18, 2023
Reading Time: 8 minutes Picture yourself in the bustling world of a leading streaming platform, where countless users rely on personalized recommendations for their next binge-watching adventure. Behind the scenes, a team of data wizards tirelessly crunches mountains of data to make those recommendations sparkle. As one of those wizards, we’ve seen the challenges we face: the struggle to transform massive datasets into meaningful insights, all while keeping queries fast and our system scal
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.
Lyft Engineering
JULY 17, 2023
Our cross-functional development process By: Aastha Bhargava , Jake Hercules , Erik Kamp , Michael Ramdatt , Nathan Van Fleet , Rex Lam , Kieran Gupta Product For years, drivers have been clear about what they wanted: native Lyft support for CarPlay and Android Auto. They’ve made the request across social media platforms, through the app, and in feedback sessions with Lyft researchers.
KDnuggets
JULY 18, 2023
Data Storytelling with Python Altair and Generative AI teaches you how to turn raw data into effective, insightful data stories. You’ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations.
Cloudera
JULY 18, 2023
In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. But let’s face it, navigating the world of any SQL engine is a daunting task, and Hive is no exception. As a Hive user, you will find yourself wanting to go beyond surface-level analysis, and deep dive into the intricacies of how a Hive query is executed.
databricks
JULY 21, 2023
Let's say a distributor reached out wanting to understand what factors are driving the sale of carbonated beverages from customers in their convenience.
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.
The Modern Data Company
JULY 18, 2023
Data Products Data products encompass several key aspects that contribute to their effectiveness and value in addressing data challenges and delivering actionable insights. These aspects ensure that data products are well-designed, user-centric, and aligned with business goals. Let’s explore the key aspects of a data product: Clear Purpose and Goals A data product must have a clear purpose and well-defined goals that align with the organization’s objectives.
KDnuggets
JULY 19, 2023
GPT-Engineer is an AI-powered application builder that generates codebases from project descriptions. It simplifies building applications, including our key-value database example, and works well with GPT-4.
Cloudera
JULY 21, 2023
Congratulations on your pregnancy! Finding out you are pregnant is an exciting and life-changing experience, but it can also bring some unexpected challenges – especially if you find out you’re pregnant with twins after accepting a new job offer. That’s exactly what happened to me. I was thrilled to secure a job at Cloudera, a company I greatly admired.
ArcGIS
JULY 17, 2023
This blog shares the resource to the ArcGIS Pro Learn Series about SAR satellite imagery.
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
Tweag
JULY 19, 2023
One classic appeal of Haskell is that its type system allows experts to define very precise constraints within the program’s problem domain. In my working experience, such powerful constraints are a double-edged sword for projects with long lifespans. These sophisticated types do, as promised, statically prevent many kinds of costly mistakes and are indeed expressed via definitions that resemble the particular problem domain better than many other general purpose languages would allow.
KDnuggets
JULY 17, 2023
Auto-CoT prompting method has LLMs automatically generate their own demonstrations to prompt complex reasoning, using diversity-based sampling and zero-shot generation, reducing human effort in creating prompts. Experiments show it matches performance of manual prompting across reasoning tasks.
Cloudera
JULY 19, 2023
Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The Ozone Manager is a critical component of Ozone. It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone.
Snowflake
JULY 19, 2023
This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). This world of free and open source LLMs took yet another major step forward just this week with Meta’s release of Llama v2.
Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL
Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.
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