Data Engineering Podcast

JULY 17, 2022

Summary There are extensive and valuable data sets that are available outside the bounds of your organization. Whether that data is public, paid, or scraped it requires investment and upkeep to acquire and integrate it with your systems. Crux was built to reduce the total cost of acquisition and ownership for integrating external data, offering a fully managed service for delivering those data assets in the manner that best suits your infrastructure.

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Data Management Management Metadata MongoDB 130

Azure Data Engineering

JULY 16, 2022

Web Activity is the easiest way to call any REST API endpoints within a Data Factory Pipeline. In today’s post, we will discuss the basic settings of Web activity. To create a new web activity , search for ‘web’ in the activities pane. Alternatively, it can be located under the General group in the activities pane. As seen in the screenshot below, the main settings for the web activity are as follows: Azure Data Factory: Web Activity URL: This is the REST API endpoint address that we would like

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Datasets Certification Data Coding 130

KDnuggets

JULY 22, 2022

The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

IT 160

IT 160

Cloudera

JULY 20, 2022

This month, Cloudera Cares is excited to spotlight Burt Wagner, senior solutions engineer from Alexandria, Virginia. Burt — who joined Cloudera earlier this year — volunteers regularly with the Boy Scouts of America. He started Scouting as an eight year old; it has always been an integral part of his life and something he now enjoys sharing with his son.

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Engineering Programming Utilities IT 115

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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?

Business Intelligence

Data Engineering Podcast

JULY 17, 2022

Summary Data engineering is a large and growing subject, with new technologies, specializations, and "best practices" emerging at an accelerating pace. This podcast does its best to explore this fractal ecosystem, and has been at it for the past 5+ years. In this episode Joe Reis, founder of Ternary Data and co-author of "Fundamentals of Data Engineering", turns the tables and interviews the host, Tobias Macey, about his journey into podcasting, how he runs the show behind the sc

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Data Engineering Data Engineer Engineering MongoDB 100

U-Next

JULY 20, 2022

Every layer of business operations today uses the power of metrics and analytics to enhance their market growth and business success. With the fourth industrial revolution increasing the dependency on emerging technologies like Data Science, Cloud Computing, IoT, Business Analytics, etc., the need to master the nuances of the same is relatively high.

Programming 75

Programming Business Analyst Education Data Science 75

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that

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Process Kafka Scala SQL 90

Netflix Tech

JULY 21, 2022

by Aryan Mehra with Farnaz Karimdady Sharifabad , Prasanna Vijayanathan , Chaïna Wade , Vishal Sharma and Mike Schassberger Aim and Purpose?—?Problem Statement The purpose of this article is to give insights into analyzing and predicting “out of memory” or OOM kills on the Netflix App. Unlike strong compute devices, TVs and set top boxes usually have stronger memory constraints.

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Machine Learning Datasets Big Data Data Pipeline 73

Confluent

JULY 18, 2022

Newest features in Confluent’s fully managed, cloud-native data streaming platform: Confluent Terraform provider, Independent Network Lifecycle Management, and more.

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Management Cloud Data 64

KDnuggets

JULY 21, 2022

Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.

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Algorithm 134

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.

Data

Cloudera

JULY 19, 2022

The dynamic and interconnected world of global ecommerce, crypto currencies, and alternative payments places increased pressure on anti-financial crime measures to keep pace and transform alongside these initiatives. Consumers worldwide are projected to use mobile devices to make more than 30.7 billion ecommerce transactions by 2026, a five-fold increase over the 6.1 billion predicted for 2022.

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Banking Education Media Machine Learning 87

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. Much was discussed. Embedded content: [link] Here are the top 10 takeaways from that conversation. 1. NoSQL is great for well understood access patterns.

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NoSQL SQL Database AWS 52

DareData

JULY 21, 2022

If you are a non-technical business user / project manager in an AI / Data Science project, you probably feel a bit overwhelmed with all the technical terms thrown at you. Some examples of things you may have seen being juggled during a data science discussion: correlation, causality, regression, classification, neural networks, decision trees, among others.

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Building Algorithm Data Science Insurance 52

KDnuggets

JULY 19, 2022

The skills you have need maintenance and occasional updates. Doing an interesting data science project is what will keep you from getting rusty.

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Project Data Science Data 134

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.

Manufacturing

Cloudera

JULY 21, 2022

Co-author: Mike Godwin, Head of Marketing, Rill Data. Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. We want Cloudera customers that rely on Apache Druid to know that their clusters are secure and supported by the Cloudera partner ecosystem.

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BI Digital Media Data Warehouse Kafka 86

Rockset

JULY 21, 2022

Rockset was incredibly easy to get started. We were literally up and running within a few hours. - Jeremy Evans, Co-founder and CTO, Savvy At Savvy , we have a lot of responsibility when it comes to data. Our customers are online consumer brands such as Brilliant.org , Flex and Simple Habit. They rely on our cloud-native service to easily build no-code interactive experiences such as video quizzes, calculators and listicles for their websites without the need for developers.

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NoSQL IT MongoDB SQL 52

Scribd Technology

JULY 20, 2022

We brought a whole team to San Francisco to present and attend this year’s Data and AI Summit, and it was a blast! I would consider the event a success both in the attendance to the Scribd hosted talks and the number of talks which discussed patterns we have adopted in our own data and ML platform. The three talks I wrote about previously were well received and have since been posted to YouTube along with hundreds of other talks.

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Kafka Data Engineering IT 52

KDnuggets

JULY 22, 2022

Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

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Business Intelligence Data IT Data Science 111

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.

Systems

Zalando Engineering

JULY 20, 2022

Yet Another "What is a Design System?" There is a lot of literature and countless blog posts around the very definition of the concept of design systems. In this post, we'd like to look at it from an engineering perspective and describe the journey from the initial idea to the complete adoption here at Zalando. You can also find more information about the creation process from a design point of view in this blog post.

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Designing Systems Electronics Architecture 52

dbt Developer Hub

JULY 19, 2022

Stored procedures are widely used throughout the data warehousing world. They’re great for encapsulating complex transformations into units that can be scheduled and respond to conditional logic via parameters. However, as teams continue building their transformation logic using the stored procedure approach, we see more data downtime, increased data warehouse costs, and incorrect / unavailable data in production.

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Data Pipeline SQL Data Warehouse Coding 52

Yelp Engineering

JULY 19, 2022

As part of our effort to connect users with great local businesses, Yelp sends out tens of millions of emails every month. In order to support the scale of those sends, we rely on third-party Email Service Providers (ESPs) as well as our internal email system, Mercury. Delivering the emails is just part of the challenge—we also need to give email developers a way to craft sophisticated templates that conform to our Yelp design guidelines.

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Designing Engineering Systems 52

KDnuggets

JULY 18, 2022

The simple but tricky data science questions that most people struggle to answer.

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Data Science Data 156

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.

Project

InData Labs

JULY 19, 2022

In the Information Age, the world runs on data and lots of it. Artificial intelligence (AI) data management is becoming an essential tool for helping organizations to leverage the massive amount of data that is helping them make better business decisions and giving us a better sense of our world. Human beings have substantial limitations. Запись How AI is being used in data management впервые появилась InData Labs.

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Data Management Management Data IT 52

Meltano

JULY 19, 2022

Data processing has three distinct stages: an extract stage where data is extracted from a store like a database, a load stage where the data is loaded into an analytic database or system, and a transform stage where data is modified to a form suitable for analysis. Combined, these three stages are often referred to as ELT (extract, load, transform).

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Building Python Project Database 52

AltexSoft

JULY 19, 2022

“New is always better.”. Barney Stinson, a fictional character from the CBS show How I Met Your Mother. No matter how ridiculous it may sound, the famous quote is applicable to the technology world in many ways. In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information.

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Architecture Data Lake Medical Datasets 52

KDnuggets

JULY 20, 2022

Language is now less of a barrier than it was in earlier days and the concept of real-time translation is no longer a fantasy with AI. Learn more!

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IT 120

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.

Business Intelligence

Monte Carlo

JULY 18, 2022

I’m excited to share that Monte Carlo, creator of the data observability category and a Powered by Snowflake company, is now a Snowflake Premier Partner! With this milestone, Monte Carlo becomes the first-ever data observability provider to achieve Snowflake Premier Partner status, a distinction granted to technology partners with a strong reference architecture and over 70 mutual customers.

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Machine Learning Architecture Data Pipeline Data 52

Propel Data

JULY 21, 2022

In the “Big Data” industry, there are big differences among the work responsibilities of data scientists, data engineers, and data analysts.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Analytics 40

KDnuggets

JULY 20, 2022

In this article, we discuss the importance of calculus in data science and machine learning.

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Data Science Machine Learning Data 148

KDnuggets

JULY 21, 2022

A simple overview of using an often-misunderstood yet useful function in Python: Numpy's argmax(). Read the what, the how, and the why of argmax() here.

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Python 108

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.

Government