Sat.Jun 26, 2021 - Fri.Jul 02, 2021

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Online, Managed Schema Evolution with ksqlDB Migrations

Confluent

Making changes to a database schema is a natural part of software development. Often, it’s important to carefully manage the timing of changes and keep track of them over time. […].

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

AltexSoft

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent.

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DevOps Is Not DataOps

DataKitchen

Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment. The post DevOps Is Not DataOps first appeared on DataKitchen.

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Putting People First: diversity, equality and inclusion start with data

Cloudera

There have been many points in history where society has been forced to reflect on the expectations of diversity and inclusion and as mentioned in our “ Embracing the conversation ” blog post earlier this year, the last 18 months have presented a real opportunity for change. As companies begin the process of self-examination, data once again holds the potential as an agent of change and Cloudera wants to help our customers unlock the endless potential of the workforce by making data and analyti

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Prepare Now: 2025's Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

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.

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Crossing the Streams: The New Streaming Foreign-Key Join Feature in Kafka Streams

Confluent

Companies adopt streaming data and Apache Kafka® because it provides them with real-time information about their business and customers. In practice, the challenge is that this information is spread across […].

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Is Your Data Ready for Climate Risk Scrutiny?

Teradata

As banks learn to adjust to the changes enforced by the COVID pandemic, the attention of customers, regulators & shareholders is returning to another global crisis – climate change.

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#ClouderaLife Spotlight: Addy Azmi, Senior Internal SOX Auditor

Cloudera

As we wrap up Pride month, we’d like to introduce Addy Azmi, a proud member of our LGBTQ Employee Resource Group. . Based in the Cork, Ireland office, Addy is a Senior Internal SOX Auditor who collaborates with process owners in the Finance team to ensure all processes are in compliance with the Sarbanes-Oxley Act. It’s a role this accounting professional really loves.

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Operationalizing Machine Learning at Scale with MLOps

DataKitchen

MLOps.community leader Demetrios Brinkmann chats with DataKitchen CEO Chris Bergh about the benefits of Data Science teams doing MLOps to pull the pain forward. The post Operationalizing Machine Learning at Scale with MLOps first appeared on DataKitchen.

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A Tale of Baseball and Bad Data: Why I Joined Monte Carlo

Monte Carlo

I guess data runs in the family. Growing up as a kid in the ‘90s, I distinctly remember my father having to bring his laptop everywhere he went with him. Compared to today’s Macbooks and PCs, my dad’s laptop took forever to load and connected to the internet via dial-up, which made an embarrassing noise whenever we were out. The dinner table? Check?

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Managing Supply Chains in the Fast Lane

Teradata

From Brexit to COVID, Supply Chains have endured numerous challenges. Then you add in the necessities of sustainability & ethics, & the need for better ways of managing them is even clearer.

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Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes? A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. Join Nikhil Joshi, a manufacturing technology expert with 18+ years of hands-on experience, in this new webinar as he uncovers the secrets of MES and how to best utilize thes

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Top 50 NLP Interview Questions and Answers for 2023

ProjectPro

Here is a list of NLP research engineer interview questions with answers that will help you ace all kinds of NLP Interview Questions. The interview questions in NLP have been divided into subgroups for your convenience. So get your tickets of time and take the giant leap towards landing your dream job of becoming an NLP Engineer. Most people start their mornings with an energetic morning walk and a bit of grocery shopping.

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DataOps with Chris Bergh

DataKitchen

Joe Reis, host of the Data Nerd Herd podcast & Ternary Data CEO & Co-Founder, interviews DataKitchen CEO Chris Bergh about what DataOps is & why it matters. The post DataOps with Chris Bergh first appeared on DataKitchen.

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Monte Carlo announces integration with Snowflake’s Snowpark developer platform to deliver more secure data monitoring and observability

Monte Carlo

Monte Carlo , the data reliability company, today announced their integration with Snowpark, the new developer experience for Snowflake, the Data Cloud company. As part of this integration, Snowpark will support Java and Scala UDFs, enabling data engineers, data scientists, and developers who prefer other languages to take advantage of Snowflake’s powerful platform capabilities and the benefits of Snowflake’s Data Cloud.

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How we use Kotlin for backend services at Zalando

Zalando Engineering

The adoption of Kotlin at Zalando As outlined in prior posts , Zalando uses a Tech Radar to provide guidance on technology selection. Recently , we moved Kotlin from TRIAL to ADOPT. With this change we are doubling down on the support of Kotlin as the 3rd JVM language next to Java and Scala. This is the result of increased adoption within the company (100+ new applications were written in Kotlin in a year), positive feedback from engineers starting to use it, as well as creation of guidelines, c

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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Production Visibility: Metrics Monitoring and Alerting

Rockset

Pulling back the curtain One thing that makes Rockset so magical is the fact that it “just works”. After years of carefully provisioning, managing, and tuning their data systems, customers feel that Rockset’s serverless offering is too good to be true (we’ve heard this exact phrase from many customers!). We pride ourselves on having abstracted away the Rube Goldberg-like complexities inherent in maintaining indexes and ETL pipelines.

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DataOps Should Be Part of Everyone on the Data Team

DataKitchen

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

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5 Non-Obvious Ways to Make Data Engineers Love Working For You

Monte Carlo

“Hiring data engineers is a piece of cake!” said no one ever. And for good reason. While it’s never been easy to recruit engineers—period, data engineers are a whole new ballgame. Despite the hypergrowth of the data engineering profession, hiring the backbone of your data team has never been more challenging. Why is it so hard to hire data engineers?

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20+ Computer Vision Project Ideas for Beginners in 2023

ProjectPro

On June 10, 2021, Forbes magazine listed 16 Tech Roles That Are Experiencing A Shortage Of Talent. Most of us won’t be surprised to find that out of these sixteen, at least seven of them are related to Artificial Intelligence and Data Science. One such role that the magazine has referred to is AR (Augmented Reality) and MR (Mixed Reality) Architects.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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Real Time Databases vs Time Series Databases vs Real-Time Analytics

Preset

The differences between real-time databases, time-series databases, and real-time analytics.

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Why DataOps Matters in the Data Value Chain

DataKitchen

Samir Sharma, host of The Data Strategy Show podcast & CEO of datazuum, chats with DataKitchen CEO Chris Bergh about how DataOps stitches together data teams. The post Why DataOps Matters in the Data Value Chain first appeared on DataKitchen.

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A Candid Exploration Of Timeseries Data Analysis With InfluxDB

Data Engineering Podcast

Summary While the overall concept of timeseries data is uniform, its usage and applications are far from it. One of the most demanding applications of timeseries data is for application and server monitoring due to the problem of high cardinality. In his quest to build a generalized platform for managing timeseries Paul Dix keeps getting pulled back into the monitoring arena.

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Integrating Mailchimp with your Node.js App

Grouparoo

This is a step-by-step guide that will help you integrate Mailchimp with your Node.js application using Mailchimp's API. We'll begin by walking through the process manually, and end by showing you an easier approach that lets Grouparoo do all the heavy lifting for you. Getting started To get started, you'll be needing the following things prepared: A Mailchimp Account Node.js & npm installed on your machine A basic frontend application to send requests to your Node.js applicat

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

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.

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100+ Kafka Interview Questions and Answers for 2023

ProjectPro

Your search for Apache Kafka interview questions ends right here! This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc.

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The Intersection of DataOps & Data Governance

DataKitchen

BigIDeas on the GO podcast host & BigID CEO Dimitri Sirota interviews DataKitchen CEO Chris Bergh on the importance & influence of DataOps on Data Governance. The post The Intersection of DataOps & Data Governance first appeared on DataKitchen.

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Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK

Data Engineering Podcast

Summary Data integration in the form of extract and load is the critical first step of every data project. There are a large number of commercial and open source projects that offer that capability but it is still far from being a solved problem. One of the most promising community efforts is that of the Singer ecosystem, but it has been plagued by inconsistent quality and design of plugins.