September, 2021

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dbt(Data Build Tool) Tutorial

Start Data Engineering

1. Introduction 2. Dbt, the T in ELT 3. Project 3.1. Prerequisites 3.2. Configurations and connections 3.2.1. profiles.yml 3.2.2. dbt_project.yml 3.3 Data flow 3.3.1. Source 3.3.2. Snapshots 3.3.3. Staging 3.3.4. Marts 3.3.4.1. Core 3.3.4.2. Marketing 3.4. dbt run 3.5. dbt test 3.6. dbt docs 3.7. Scheduling 4. Conclusion 5. Further reading 6. References 1.

Building 130
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How to Take Notes in 2021?

Simon Späti

Taking notes helps you not to forget things, teaches you to express yourself, brainstorms your thoughts, research a topic, and so many more things. I used to take notes all my life. Maybe it’s because I’m Swiss, they say we are well organised. I used to write in OneNote for 10+ years. I have notebooks for my bachelor studies and every workplace I worked.

IT 130
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Airflow Trigger Rules: All you need to know!

Marc Lamberti

By default, your tasks get executed once all the parent tasks succeed. this behaviour is what you expect in general. But what if you want something more complex? What if you would like to execute a task as soon as one of its parents succeeds? Or maybe you would like to execute a different set of tasks if a task fails? Or act differently according to if a task succeeds, fails or event gets skipped?

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What’s New in Apache Kafka 3.0.0

Confluent

I’m pleased to announce the release of Apache Kafka 3.0 on behalf of the Apache Kafka® community. Apache Kafka 3.0 is a major release in more ways than one. Apache […].

Kafka 145
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner

Uber Engineering

Introduction. The Fulfillment Platform is a foundational Uber domain that enables the rapid scaling of new verticals. The platform handles billions of database transactions each day, ranging from user actions (e.g., a driver starting a trip) and system actions … The post Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner appeared first on Uber Engineering Blog.

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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. But it requires you to live on the edge. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks.

Medical 118

More Trending

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Groupon

Teradata

Groupon is modernizing with Vantage on AWS to better match its data & analytics with demands of its global business. The Cloud allows Groupon to better leverage infrastructure dollars, support more technology projects and capture opportunity.

AWS 98
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Start DataOps Today with ‘Lean DataOps’

DataKitchen

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines.

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Kafka Summit Americas 2021 Recap

Confluent

The full inventory of three online Kafka Summits in 2021 is now complete. Kafka Summit Americas wrapped just yesterday. Being a part of the event team and the Program Committee, […].

Kafka 145
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Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

Uber Engineering

Uber recently launched a new capability: Ads on UberEats. With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more. This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog.

Kafka 145
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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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What is an A/B Test?

Netflix Tech

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. See here for Part 1: Decision Making at Netflix. Subsequent posts will go into more details on the statistics of A/B tests, experimentation across Netflix, how Netflix has invested in infrastructure to support and scale experimentation, and the importance of the culture

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#ClouderaLife Spotlight: Liz Lashgari, Senior Employee Relations Manager

Cloudera

September 15th marks the beginning of National Hispanic Heritage Month – a month in which the contributions and influence of Hispanic people on the history, culture and achievements of the US are recognized. To commemorate the month, we are spotlighting an employee who is as active within the community as they are in the company and LatinX Employee Resource Group (ERG).

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Unilever

Teradata

Teradata Vantage on Azure supports 27 business services across supply chain, sales, finance, HR, and more.

Finance 98
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What Should Enterprises Do to Offset Future Technology Disruption?

DataKitchen

The post What Should Enterprises Do to Offset Future Technology Disruption? first appeared on DataKitchen.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Announcing ksqlDB 0.21.0

Confluent

We’re pleased to announce ksqlDB 0.21.0! This release includes a major upgrade to ksqlDB’s foreign-key joins, the new data type BYTES, and a new ARRAY_CONCAT function. All of these features […].

Bytes 140
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Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework

Uber Engineering

Introduction. Uber’s GSS (Global Scaled Solutions) team runs scaled programs for diverse products and businesses, including but not limited to Eats, Rides, and Freight. The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions. One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog.

AWS 144
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How We Build Micro Frontends With Lattice

Netflix Tech

Written by Michael Possumato , Nick Tomlin , Jordan Andree , Andrew Shim , and Rahul Pilani. As we continue to grow here at Netflix, the needs of Revenue and Growth Engineering are rapidly evolving; and our tools must also evolve just as rapidly. The Revenue and Growth Tools (RGT) team decided to set off on a journey to build tools in an abstract manner to have solutions readily available within our organization.

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When Data Redefines Companies

Cloudera

The more an enterprise wants to know about itself and its business prospects, the more data it needs to collect and analyze. Additionally, the more data it collects and stores, the better its ability to know customers, to find new ones, and to provide more of what they want to buy. Sounds simple, but a surprising majority of U.S. companies (about two-thirds, according to CIO.com ) are only now getting tuned in to become fully functioning data-driven enterprises by starting new initiatives, scali

Hadoop 97
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Building a Remote-First Culture

Datakin

Blog Building a Remote-First Culture Written by Amanda Bulger on Sep 15, 2021 This morning I was planning an offsite for our team – our first one since Datakin was founded during the pandemic – and I had a realization: I haven’t met most of these people in person yet! We’ve been working together for months and months, solving interesting problems and planning social events, but we have been restricted to knowing each other through a tiny box on a screen.

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Big Data 50: Companies Driving Innovation

DataKitchen

The post Big Data 50: Companies Driving Innovation first appeared on DataKitchen.

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How to Securely Connect Confluent Cloud with Services on AWS, Azure, and GCP

Confluent

The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of fully managed […].

Cloud 120
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MLOps vs DevOps! Here's How They Fit Together

ProjectPro

The word machine learning is buzzing so loud that almost every IT professional has heard this term by now. With time, machine learning has become more applied, and every industry is leveraging it. Most software applications today have sophisticated machine learning algorithms in action behind the scenes - Welcome to the world of MLOps that makes these ML models successful in production.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Rockset Is Now SOC 2 Type II Compliant

Rockset

The Rockset team is proud to announce that we have been accredited as SOC 2 Type II compliant. Our customers entrust Rockset with their data, and now they have rigorous, independent assurance that we protect it by following security best practices. What is SOC 2 Type II? SOC is one of several System and Organization Controls audits developed by the American Institute of CPAs (AICPA), the world’s largest member association of accountants.

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Supercharge your Airflow Pipelines with the Cloudera Provider Package

Cloudera

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. .

Python 96
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Survey: Cloud, Data Management, and Emerging Technology Needs Are Driving Changes to 2022 IT Plans

Teradata

Our latest global industry survey, in partnership with Vanson Bourne, reveals that enterprises are contemplating long-term, data-focused IT investments to address changing market conditions.

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Connecting a Linux VPS to an AWS VPC using a S2S VPN with Static Routing

Hepta Analytics

This blogpost will cover how to connect a standalone Virtual Private Server (VPS) running Linux (specifically Debian) to AWS’ Virtual Private Cloud (VPC) using a site-to-site VPN with Static Routing. This blogpost is relevant for those who find themselves having to integrate their AWS infrastructure with external sites where they do not own, or do not have permission to configure the gateway device (e.g. a Cisco ASA appliance).

AWS 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Getting Started with GraphQL and Apache Kafka

Confluent

GraphQL and Apache Kafka® are sometimes troubled with misconceptions. One of the reasons for this is that people are often familiar with one but not the other. GraphQL is mostly […].

Kafka 119
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Machine Learning (ML) vs NLP - What's the Difference?

ProjectPro

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning. This post attempts to explain two of the crucial sub-domains of artificial intelligence - Machine Learning vs.

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Databricks Delta Cache and Spark Cache

Advancing Analytics: Data Engineering

As data sizes and demand increases as time goes on, you often see slowness on Databricks this can be due to number of factors from security, network transfers, read/write requests, and memory space. A common cause of this is when Databricks has to contently reads parquet files from the file system, increasing the I/O and network throughput. Databricks has to manage and monitor the cluster to ensure it does not exceed the I/O treads threshold and that the workers have enough memory to cope with t

SQL 52
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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Within the context of a broader data and analytics platform implemented in the Cloudera Data Platform ( CDP ), COD will function as highly scalable relational and non-relational transactional database allowing users to leverage big data in operational applications as well as the backbone of the a

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.