Sat.Feb 20, 2021 - Fri.Feb 26, 2021

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Why Data Capabilities Follow Up a Digital Transformation

Team Data Science

Companies can now make data useful to elevate decision making and to optimise products and processes. But what organizational capabilities are necessary and how to get started? It's currently easy to acquire data strategically. First, consider that smartphones function like questionnaires that customers are frequently filling out in a passive or active manner [ , 1 ].

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The rise and fall of the Agile Spotify Model

François Nguyen

If you are working in the tech field, I think you have already heard of Squads, Tribes, Chapters or Guild. It comes from Spotify, a swedish audio streaming company.If you are organizing #datateams, it could be tempting to copy/paste. You should really not ! The Spotify Model and Engineering Culture If you want to go back to the original article, it his here.

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Lessons Learned from Running Apache Kafka at Scale at Pinterest

Confluent

Apache Kafka® is at the heart of the data transportation layer at Pinterest. The amount of data that runs through Kafka has constantly grown over the years. This growth sometimes […].

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Self Service Open Source Data Integration With AirByte

Data Engineering Podcast

Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed platforms available, but the list of options for an open source system that supports a large variety of sources and destinations is still embarrasingly short. The team at Airbyte is adding a new entry to that list with the goal of making robust and easy to use data integration more accessible to teams who want or need to maintain full control of thei

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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#ClouderaLife Spotlight: Kevin Smith, Staff Customer Operations Engineer

Cloudera

Meet Kevin Smith, a Staff Customer Operations Engineer within the US Public Sector support team. He sums up his day-to-day by saying he works directly with clients on technical cases and provides support and guidance as they troubleshoot unexpected behavior. He also serves as a member of several project teams focusing on upgrade experiences, internal tools, product testing, training, and documentation.

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Packaging award-winning shows with award-winning technology

Netflix Tech

By Cyril Concolato Introduction In previous blog posts, our colleagues at Netflix have explained how 4K video streams are optimized , how even legacy video streams are improved and more recently how new audio codecs can provide better aural experiences to our members. In all these cases, prior to being delivered through our content delivery network Open Connect , our award-winning TV shows, movies and documentaries like The Crown need to be packaged to enable crucial features for our members.

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Teradata Has Been Named One of the World's Most Ethical Companies 2021

Teradata

Teradata has again been recognized as one of the World’s Most Ethical Companies, for 12th consecutive year! Read more.

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Black History Month 2021: Be the light

Cloudera

Be the light – Accepting the call to become the change we seek. As Black History Month comes to a close, global communities and companies alike are left reflecting on recent historical events with shock, awe and a commitment to drive change. We find ourselves faced with the unhealed wounds of our past, a defining moment for our future and an opportunity to become the change we seek as citizens and professionals. .

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Data-driven performance improvements: Football and retail execution

Retail Insight

When I left school to start a professional football career, I understood very little about data – I did keep a note of the goals I scored, the assists I made and, most likely, the keepie-ups I could perform, but that was about it.

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How to Manage Secrets for Confluent Platform with Kubernetes and HashiCorp Vault

Confluent

This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a […].

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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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Knowing Me, Knowing You: Data-Driven CX in Retail

Teradata

Today's retailers need to focus on using data to create scenarios that encourage the customer to engage with them, and then ensure that they act appropriately when they do.

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Change The Way You Do ML With Applied ML Prototypes

Cloudera

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear. However, only 4% of enterprise executives today report seeing success from their ML investment.

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Declarative Data Sync

Grouparoo

Developers have been using the Grouparoo UI to set up automated data movement from their databases to Mailchimp, Marketo, Salesforce, and more. While having these integrations already written for them saved plenty of time, there was something they missed: their normal developer workflow. Grouparoo now supports declarative data models and integrations to continuously sync your data to all of your cloud-based tools.

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Containerized Testing with Kerberos and SSH

Confluent

Kerberos authentication is widely used in today’s client/server applications; however getting started with Kerberos may be a daunting task if you don’t have prior experience. Information on setting up Kerberos […].

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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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Intro to databases on Azure: Basics for aspiring data engineers

A Cloud Guru: Data Engineering

How do you get started with an Azure database? As a database novice or someone new to Microsoft Azure, there are so many options it can be hard to know where to begin. Which is right for you as you get started on the path to becoming a data engineer? Let’s turn the question around […] The post Intro to databases on Azure: Basics for aspiring data engineers appeared first on A Cloud Guru.

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Building loyalty with data and analytics

Cloudera

In 1969, my aunt graduated from university and joined IBM, the dominant player in the nascent tech industry at the time. She remained at “Big Blue” where she met and married my uncle, and rose up through the management ranks, until their joint semi-retirement exactly 30 years later. She recently told me, “the only way you could get fired in those days was to murder someone, embezzle or steal”.

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Data Observability: How Blinkist Prevents Broken Data Pipelines at Scale with Monte Carlo

Monte Carlo

Companies spend upwards of $15 million an nually tackling data downtime , in other words, periods of time where data is missing, broken, or otherwise erroneous, and over 88 percent of U.S. bu sinesses have lost money as a result of data quality issues. Fortunately, there’s hope in the n ext frontier of data engineering: observability. Here’s how the data engineering team at Blinkist, a book-summarizing subscription service, increases cost savings, collaboration, and productivity with data observ

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Knowing Me, Knowing You: Data-Driven CX in Retail

Teradata

Today's retailers need to focus on using data to create scenarios that encourage the customer to engage with them, and then ensure that they act appropriately when they do.

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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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Machine Learning Engineer Salary-The Ultimate Guide for 2023

ProjectPro

Wondering how much is the machine learning engineer salary? Well, we have got you covered. In this article, you’ll get some insider expert advice, including helpful resources, to help determine the machine learning engineer's average salary for your location, skills, and experience level. So, let’s get started! Table of Contents Machine Learning Engineer Salary – How much can you earn in 2023?

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Five Trends for the Financial Services Industry to Track in 2021

Cloudera

With a new year ahead, it’s time for financial services to pause, take stock of the “new normal,” and plan a path forward. COVID-19 forced nearly every industry to adapt to a new reality, and the financial services industry was no exception. Consumer habits shifted drastically. Suddenly, many people started working from home. Employee and customer needs changed.

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Monte Carlo Recognized as a 2021 Enterprise Tech 30 Company

Monte Carlo

We’re excited to share that Monte Carlo was today named to the third-annual 2021 Enterprise Tech 30 , a prestigious list of early-stage, mid-stage, and late-stage private companies identified by top VC and analysts as the most promising in enterprise tech. Organized by Wing Venture Capital, the Enterprise Tech 30 considers over 15,000 companies each year for this celebrated award, narrowing it down to just 30.

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Integration tests with Testcontainers

Zalando Engineering

In this article, I will show how teams at Zalando Marketing Services are using integration tests in Java-based backend applications. We will follow the idea of integration tests: the main concept and the attributes of a good integration test. Then, we will discuss an example based on the TestContainers library used in the Spring environment. Integration tests There are many definitions of integration testing.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Semantic Versioning Starting in Apache Superset™ 1.1

Preset

Semantic versioning is a common strategy for handling releases. We discuss why the Apache Superset™ community is adopting this approach. | Apache Superset™ 1.

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Sample applications for Cloudera Operational Database

Cloudera

Cloudera Operational Database is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. In the previous blog posts, we looked at application development concepts and how Cloudera Operational Database (COD) interacts with other CDP services.

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Beyond REST

Netflix Tech

Rapid Development with GraphQL Microservices by Dane Avilla The entertainment industry has struggled with COVID-19 restrictions impacting productions around the globe. Since early 2020, Netflix has been iteratively developing systems to provide internal stakeholders and business leaders with up-to-date tools and dashboards with the latest information on the pandemic.

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Knowing Your Data Starts with Data Lineage

Silectis

Data lineage can be a tremendously useful tool for data engineering and analytics, but is often treated as an afterthought both because of the challenges in implementation and the fact that it has not been broadly available within organizations. Many practitioners have never had access to data lineage information and may not know what they are missing.

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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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Elasticsearch or Rockset for Real-Time Analytics: How Much Query Flexibility Do You Have?

Rockset

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. In an attempt to mitigate these challenges, many companies are turning to more modern database solutions. Two of these real-time analytics solutions are Elasticsearch and Rockset. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space.

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RippleNet Engineering's Inclusive Language Initiative: Part 1

Ripple Engineering

In 2020, Ripple accelerated our efforts to enhance diversity and inclusion throughout the company. As part of this commitment, we are sharing RippleNet Engineering 's initiative to replace language in our codebase that does not align with the reality in which we collectively want to live. This project was inspired especially by the protests last summer denouncing police brutality against Black citizens and the long fight against systemic racism in the United States.

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The Multifaceted Value Proposition of the Cloudera Data Platform

Cloudera

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets.