June, 2021

article thumbnail

Designing a Data Project to Impress Hiring Managers

Start Data Engineering

Introduction Objective Setup Pre-requisites Project 1. ETL Code 2. Test 3. Scheduler 4. Presentation 4.1. Formatting, Linting, and Type checks 4.2. Architecture Diagram 4.3. README.md 5. Adding Dashboard to your Profile Future Work Tear down infra Conclusion Further Reading References Introduction Building a data project for your portfolio is hard. Getting hiring managers to read through your Github code is even harder.

Project 130
article thumbnail

Turning the page

Cloudera

Today marks the beginning of an exciting new chapter for Cloudera. Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses

Cloud 144
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Better Manage Apache Kafka by Creating Kafka Messages from within Control Center

Confluent

Managing Apache Kafka® clusters can be tricky sometimes. To solve this problem, Confluent Control Center helps you easily manage and monitor your clusters and interact with other Confluent components, such […].

Kafka 137
article thumbnail

How Netflix uses eBPF flow logs at scale for network insight

Netflix Tech

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight.

article thumbnail

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

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.

article thumbnail

Efficient and Reliable Compute Cluster Management at Scale

Uber Engineering

Introduction. Uber relies on a containerized microservice architecture. Our need for computational resources has grown significantly over the years, as a consequence of business’ growth. It is an important goal now to increase the efficiency of our computing resources. Broadly … The post Efficient and Reliable Compute Cluster Management at Scale appeared first on Uber Engineering Blog.

article thumbnail

Make Database Performance Optimization A Playful Experience With OtterTune

Data Engineering Podcast

Summary The database is the core of any system because it holds the data that drives your entire experience. We spend countless hours designing the data model, updating engine versions, and tuning performance. But how confident are you that you have configured it to be as performant as possible, given the dozens of parameters and how they interact with each other?

Database 100

More Trending

article thumbnail

What is new in Cloudera Streaming Analytics 1.4?

Cloudera

At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . Since then, we have been working hard to expose the full power of Apache Flink SQL and the existing Data Warehousing tools in CDP to combine it into a state-of-the-art real-time analytics platform.

Kafka 107
article thumbnail

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. […].

article thumbnail

Introducing Netflix Timed Text Authoring Lineage

Netflix Tech

A Script Authoring Specification By: Bhanu Srikanth, Andy Swan, Casey Wilms, Patrick Pearson The Art of Dubbing and Subtitling Dubbing and subtitling are inherently creative processes. At Netflix, we strive to make shows as joyful to watch in every language as in the original language, whether a member watches with original or dubbed audio, closed captions, forced narratives, subtitles or any combination they prefer.

article thumbnail

Handling Flaky Unit Tests in Java

Uber Engineering

Introduction to Flaky Tests. Unit testing forms the bedrock of any Continuous Integration (CI) system. It warns software engineers of bugs in newly-implemented code and regressions in existing code, before it is merged. This ensures increased software reliability. It also … The post Handling Flaky Unit Tests in Java appeared first on Uber Engineering Blog.

Java 115
article thumbnail

Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

article thumbnail

Accelerating ML Training And Delivery With In-Database Machine Learning

Data Engineering Podcast

Summary When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model inside the database so that you don’t have to move the information? In this episode Paige Roberts explains the benefits of pushing the machine learning processing into the database layer and the approach that Vertica has taken for their implementation.

article thumbnail

Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

AltexSoft

In today’s society, insurers can no longer ignore the mounting expectations of customers. Clients now expect insurers to provide different levels of personalization that are fast, adaptable, and up to date. That is why some insurers have gone further to provide insurance and risk management services that can be adjusted and rewritten in real-time depending on the changing risk in the consumer’s life.

article thumbnail

Cloudera named a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021

Cloudera

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are excited to be recognized in this wave at, what we consider to be, such a strong position. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. The report states that richness of analytics, development tool options and near-effortless scalability are what streaming analytics customers should look for in a provider. .

Kafka 104
article thumbnail

Saxo Bank’s Best Practices for a Distributed Domain-Driven Architecture Founded on the Data Mesh

Confluent

Al data til folket (all data to the people) is a compelling proposition in an enterprise context. Yet the ability to quickly address integration challenges and deliver data to those […].

article thumbnail

How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

article thumbnail

Three Guiding Principles for Open Banking Platform Design

Teradata

Open Banking platforms require high-reliability, seamless interfaces and should be driven by efficiency. Read more.

Banking 85
article thumbnail

Standing Up a DataOps Program for Practitioners

DataKitchen

In this five-module course, Mike Lampa & Chris Bergh teach data professionals to plan their organization's DataOps program for low errors & fast deployment. The post Standing Up a DataOps Program for Practitioners first appeared on DataKitchen.

article thumbnail

Make Sure Your Records Are Reliable With The BookKeeper Distributed Storage Layer

Data Engineering Podcast

Summary The way to build maintainable software and systems is through composition of individual pieces. By making those pieces high quality and flexible they can be used in surprising ways that the original creators couldn’t have imagined. One such component that has gone above and beyond its originally envisioned use case is BookKeeper, a distributed storage system that is optimized for durability and speed.

article thumbnail

Data Engineers of Netflix?—?Interview with Dhevi Rajendran

Netflix Tech

Data Engineers of Netflix?—?Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Dhevi Rajendran is a Data Engineer on the Growth Data Science and Engineering team. Dhevi joined Netflix in July 2020 and is one of many Data Engineers who have onboarded remotely during the pandemic.

article thumbnail

What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

article thumbnail

Validations – Cloudera Support’s Predictive Alerting Program

Cloudera

Cloudera Support’s cluster validations proactively identify known problem signatures contained in customers’ diagnostic data with the goal of increasing cluster health, performance, and overall stability. Cluster validations are included in a customer’s enterprise subscription at no additional cost. All customers with access to the Support case portal will also be able to take advantage of cluster validations.

article thumbnail

Streaming ETL and Analytics on Confluent with Maritime AIS Data

Confluent

One of the canonical examples of streaming data is tracking location data over time. Whether it’s ride-sharing vehicles, the position of trains on the rail network, or tracking airplanes waking […].

Data 114
article thumbnail

Look Out for Risks in Open Banking!

Teradata

Open Banking is re-shaping the landscape of financial services and introducing new types of risks extending beyond data security. Secure open banking is everyone’s responsibility.

Banking 59
article thumbnail

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.

article thumbnail

Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

article thumbnail

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?

article thumbnail

Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team. Samuel and his team build tools and frameworks that support data engineering teams across Netflix.

article thumbnail

How to use Apache Spark with CDP Operational Database Experience

Cloudera

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. CDP Operational Database Experience Experience (COD) is a CDP Public Cloud service that lets you create and manage operational database instances and it is powered by Apache HBase and Apache Phoenix. .

article thumbnail

Are We There Yet? The Query Your Database Can’t Answer

Confluent

What if I told you there is a query your database can’t answer? That would probably surprise you. With decades of effort behind them, databases are one of the most […].

article thumbnail

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.

article thumbnail

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.

Banking 59
article thumbnail

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.

IT 52
article thumbnail

Monte Carlo Expands Leadership Team from Snowflake, Segment to Support Hypergrowth of Data Observability Category

Monte Carlo

Monte Carlo , the data reliability company, today announced two new strategic hires to its leadership team: Daniel Day , Head of Marketing, and Jordan Van Horn , Head of Revenue. With experience leading award-winning go-to-market teams at Snowflake and Segment, Day and Van Horn share a deep expertise in the data industry and will help Monte Carlo meet the growing demands as the industry leader in Data Observability.

article thumbnail

Java vs Python for Data Science in 2023-What's your choice?

ProjectPro

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? Which has a better future: Python or Java in 2021? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

Java 52
article thumbnail

The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.