Sat.Nov 14, 2020 - Fri.Nov 20, 2020

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Analysing historical and live data with ksqlDB and Elastic Cloud

Confluent

Building data pipelines isn’t always straightforward. The gap between the shiny “hello world” examples of demos and the gritty reality of messy data and imperfect formats is sometimes all too […].

Cloud 139
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Fraud Detection using Deep Learning

Cloudera

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important.

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What Banks Can Learn From Disney

Teradata

Being the best bank isn't good enough! In order to win, the Bank of the Future needs to take a page from Big Tech’s playbook & use data to drive personalization of services.

Banking 52
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Web Scraping Using R.!

Data Science Blog: Data Engineering

In this blog, I’ll show you, How to Web Scrape using R.? What is R.? R is a programming language and its environment built for statistical analysis, graphical representation & reporting. R programming is mostly preferred by statisticians, data miners, and software programmers who want to develop statistical software. R is also available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form.

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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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Use Cases and Architectures for HTTP and REST APIs with Apache Kafka

Confluent

This blog post presents the use cases and architectures of REST APIs and Confluent REST Proxy, and explores a new management API and improved integrations into Confluent Server and Confluent […].

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Combating Fraud in Insurance with Data

Cloudera

Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. A fantastic initiative! Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting.

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Is Skepticism Thwarting Your Grandiose AI Plans?

Teradata

The currency of Trust is taking on a new form. As insurance companies rely more on artificial intelligence to make decisions, humans must now trust machines as much as Humans.

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How Real-Time Stream Processing Safely Scales with ksqlDB, Animated

Confluent

Software engineering memes are in vogue, and nothing is more fashionable than joking about how complicated distributed systems can be. Despite the ribbing, many people adopt them. Why? Distributed systems […].

Process 120
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NLP Heroes, Pinot, Data Testing, and More: Top 10 Links From Across the Web

Data Council

Here's our November 2020 roundup of good reads and podcast episodes that might be relevant for your career in data: 1. Heroes of NLP: Quoc Le (Deeplearning.ai) NLP researcher Quoc Le was recently Andrew Ng’s guest as part of the ‘Heroes of NLP’ video series. Their discussion covered Le’s impressive journey, from growing up in Vietnam and developing his first basic chatbot in high school to becoming Google Brain’s first intern, and everything that followed.

Data 52
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Smart Schema: Enabling SQL Queries on Semi-Structured Data

Rockset

Rockset is a real-time indexing database in the cloud for serving low-latency, high-concurrency queries at scale. It is particularly well-suited for serving the real-time analytical queries that power apps, such as personalization or recommendation engines, location search, and so on. In this blog post, we show how Rockset’s Smart Schema feature lets developers use real-time SQL queries to extract meaningful insights from raw semi-structured data ingested without a predefined schema.

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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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Brinker International, Inc.

Teradata

Cloud data analytics is helping to assist in the delivery of serving quality, hot food, with a passionate customer experience that keeps visitors craving seconds.

Food 52
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The Cloud-Native Evolution of Apache Kafka on Kubernetes

Confluent

It’s almost KubeCon! Let’s talk about the state of cloud-native Apache Kafka® and other distributed systems on Kubernetes. Over the last decade, our industry has seen the rise of container […].

Kafka 73
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Announcing the 2020 Data Impact Award Winners

Cloudera

What a fantastic 24-hours it has been here at Cloudera. During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. Streamed to hundreds of people around the globe, we were able to come together to celebrate some incredible successes. . In a year marked by unusual events, and disruption to our “normal” lives, it was a pleasure to recognize our customers’ most impressive achievements.

Medical 120
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Self Service Data Management From Ingest To Insights With Isima

Data Engineering Podcast

Summary The core mission of data engineers is to provide the business with a way to ask and answer questions of their data. This often takes the form of business intelligence dashboards, machine learning models, or APIs on top of a cleaned and curated data set. Despite the rapid progression of impressive tools and products built to fulfill this mission, it is still an uphill battle to tie everything together into a cohesive and reliable platform.

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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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Telecom Operators: The Data Goldmine

Teradata

Learn how more accurate Telecom subscriber tagging based on enhanced data analytics enables businesses to dig into their customers' behaviors and preferences.

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Kafka Summit 2021 – Double the Fun

Confluent

My own sense of the passage of time in 2020 is no sure guide, but honestly it seems like Kafka Summit just happened—yet here we are, deep into planning for […].

Kafka 67
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How a modern data platform supports government fraud detection

Cloudera

November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Some experts estimate the U.S. government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports.

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Fraud Prevention – 3 Data Strategies for Financial Services

Cloudera

Fraud awareness in the Financial Services industry is more important than ever. According to the September 2020 benchmarking report conducted by the Association of Certified Fraud Examiners (ACFE) in response to the coronavirus, 77% of survey respondents, representing a range of industries, have observed an increase in the overall level of fraud as of August, compared with 68% in May.

Banking 103
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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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#ClouderaLife Spotlight: Teresa Morris, Sr. Manager, Technical Partner Support

Cloudera

Meet Teresa Morris! A 3.5 year Clouderan working as a Sr. Manager, Technical Partner Support. Her role entails building and managing support partnerships – it’s one she finds rewarding. “It’s not a one project kind of thing, it’s a whole experience of managing partnerships that bring more business. Being a part of a digital transformation and all the things that drive customers experience is so fulfilling.” .

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With great technology, comes great responsibility

Cloudera

On November 18th, we kicked off our EMEA Influential Women in Data series. As a company, diversity and inclusion is at the very core of our leadership and our company. We’re lucky enough to interact with incredible talent on a daily basis amongst our clients and teams – talent that this series aims to showcase. Our first interviewee was Helen Davis, Assistant Director of IT and Digital at West Midlands Police (WMP).