April, 2020

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Preventing Fraud and Fighting Account Takeovers with Kafka Streams

Confluent

Many companies have recently started to take cybersecurity and data protection even more seriously, particularly driven by the recent General Data Protection Regulation (GDPR) legislation. They are increasing their investment […].

Kafka 145
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Advantages of Using dbt(Data Build Tool)

Start Data Engineering

In this article we aim to go over the reasoning behind why someone might want to use dbt. If you are interested in learning dbt checkout this article.

Building 130
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Breaking the COVID-19 Chain with Data Analytics

Teradata

How can Teradata's data analytics platform help communities stop the spread of COVID-19? Find out more.

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Taming Complexity In Your Data Driven Organization With DataOps

Data Engineering Podcast

Summary Data is a critical element to every role in an organization, which is also what makes managing it so challenging. With so many different opinions about which pieces of information are most important, how it needs to be accessed, and what to do with it, many data projects are doomed to failure. In this episode Chris Bergh explains how taking an agile approach to delivering value can drive down the complexity that grows out of the varied needs of the business.

Hadoop 100
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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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How Netflix brings safer and faster streaming experience to the living room on crowded networks…

Netflix Tech

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 By Sekwon Choi At Netflix, we are obsessed with the best streaming experiences. We want playback to start instantly and to never stop unexpectedly in any network environment. We are also committed to protecting users’ privacy and service security without sacrificing any part of the playback experience.

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5 Must Know Workforce Analytics as an HR Manager

U-Next

Workforce analytics – what sounds like a complex technical term is relatively easy and inevitable when you understand its importance and how to leverage its full potential to your benefit. Some of the elite HR analysts out there have implemented workforce analytics in their businesses and have seen results that their competitors couldn’t dream of. As an HR manager, you need to be aware of these analytics concepts and theories to pave way for organizational and departmental success and curb any b

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Apache Airflow Review: the good, the bad

Start Data Engineering

When getting started with Apache Airflow , data engineers have questions similar to the two below “What are people’s opinions of Airflow?

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Teradata Supports China’s Fight Against COVID-19

Teradata

By fully utilizing the data for telco operators in China, Teradata helped communities battle the COVID-19 epidemic through ongoing public health communication, travel updates and inquiries.

Utilities 111
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Building Real Time Applications On Streaming Data With Eventador

Data Engineering Podcast

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. Eventador is a managed platform designed to let you focus on using the data that you collect, without worrying about how to make it reliable. In this episode Eventador Founder and CEO Kenny Gorman describes how the platform is architected, the challenges inherent to managing reliable streams of data, the simplicity off

Building 100
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Bringing 4K and HDR to Anime at Netflix with Sol Levante

Netflix Tech

By Haruka Miyagawa & Kylee Peña Continue reading on Netflix TechBlog ».

97
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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4 Handy Ways to Read Files in Scala

Rock the JVM

Master file reading in Scala with ease: compare it to other languages and discover how our simple API approach is almost as straightforward as Python's read()

Scala 52
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Confluent Raises $250M and Kicks Off Project Metamorphosis

Confluent

Confluent Raises $250M and Kicks Off Project Metamorphosis It’s an exciting day for Confluent, in the middle of a very unusual and difficult time in the larger world. Nonetheless, I […].

Project 142
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Review: Building a Real Time Data Warehouse

Start Data Engineering

Many data engineers coming from traditional batch processing frameworks have questions about real time data processing systems, like “What kind of data model did you implement, for real-time processing?

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Teradata and the MIT COVID Challenge Hackathon

Teradata

Teradata participated in the MIT COVID Challenge Hackathon to design approaches and mentor teams focused on stamping out the pandemic. Learn more.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Building A Knowledge Graph Of Commercial Real Estate At Cherre

Data Engineering Podcast

Summary Knowledge graphs are a data resource that can answer questions beyond the scope of traditional data analytics. By organizing and storing data to emphasize the relationship between entities, we can discover the complex connections between multiple sources of information. In this episode John Maiden talks about how Cherre builds knowledge graphs that provide powerful insights for their customers and the engineering challenges of building a scalable graph.

Building 100
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Scala For Big Data Engineering – Why should you care?

Advancing Analytics: Data Engineering

The thought of learning Scala fills many with fear, its very name often causes feelings of terror. This suggests it’s either doing something very good, or very bad! The truth is Scala can be used for many things; from a simple web application to complex ML (Machine Learning). Moreover, it unusually fully incorporates two programming paradigms: OOP (Object Orientated Programming) and FP (Functional programming).

Scala 52
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3 Fun Call-by-Name Tricks in Scala

Rock the JVM

Maximize call-by-name semantics in Scala: control when your results are evaluated

Scala 52
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Introducing Confluent Platform 5.5

Confluent

We are pleased to announce the release of Confluent Platform 5.5. With this release, Confluent makes event streaming more broadly accessible to developers of all backgrounds, enhancing three categories of […].

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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3 Key Points to Help You Partition Late Arriving Events

Start Data Engineering

One of the most common issues when ingesting and processing user generated events is, how to deal with late arriving events. Yet this topic is not extensively discussed. Some of the general issues that data engineers usually have are “What should be considered the event time?

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I’m Sorry CXOs, but You’re Mostly Doing Analytics All Wrong

Teradata

There is no ROI in technology - specifically in data analytics, AI & Machine Learning - until we deploy in production and change the way we do business.

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AI and Automation Quick Wins that HR Teams Should Focus On

U-Next

Is your HR department failing to embrace the digital transformation (especially AI) revolution? If so, you are not alone. Human resources departments are notorious for lagging behind in adopting new technologies. It comes as no surprise that the use of automation and artificial intelligence in HR is still relatively rare compared to other departments in organizations across different industries.

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Lessons Gleaned from Attending and Speaking at the World Economic Forum for Africa 2019 Gathering

Hepta Analytics

Last year in September, Hepta Analytics was amongst the few startup companies invited to participate in the World Economic Forum for Africa in Cape Town, South Africa. Such a rare opportunity for a young company like ours given the high profile individuals, such as heads of states invited to attend these types of events. It also included a great mix of local, regional and international companies execs, academic and civil society leaders, all coming together to discuss one thing: Shaping inclusi

Food 52
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Understanding Spark DAGs (Directed Acyclic Graphs)

Rock the JVM

Discover the essential skill for optimizing Spark performance: mastering the Spark UI and understanding the job execution graph

52
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Confluent Platform Now Supports Protobuf, JSON Schema, and Custom Formats

Confluent

When Confluent Schema Registry was first introduced, Apache Avro™ was initially chosen as the default format. While Avro has worked well for many users, over the years, we’ve received many […].

Data 103
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Google Sheets Source

Grouparoo

Grouparoo is the Reverse ETL platform to connect Google Sheets data to your SaaS tools. This enables all of those crazy sheets out there to be the source of truth for your profiles and be fed into your marketing tools. Don't forget: with great power comes great responsibility! Google setup In Grouparoo, apps make the connection to facilitate data movement in the form of sources and destinations.

MySQL 52
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All Models Are Wrong (But Some Are Useful)

Teradata

Lots of smart people have created many predictive analytics models to help us manage the COVID-19 pandemic. But many of these models use different inputs, different heuristics, and come to different conclusions.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

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.

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What? ?Makes? ?For? ?a? ?Great? ?HR? ?Analytics? ?Course?

U-Next

The motto to success in today’s competitive world is very simple – the more you learn, the more you evolve and the more you upskill to trending job roles and requirements, the faster you will succeed in life and career. Generally, you can learn things in life in two different ways. You can either learn from others’ mistakes or make your own, regret and learn valuable lessons months from the moment you take a wrong decision and it is this ability to make the right decision that separates wise fro

Project 52
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Unlock Value From Your Data Lake with Dremio and Superset

Preset

Unlock Value From Your Data Lake with Dremio and Superset

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Understanding Spark DAGs (Directed Acyclic Graphs)

Rock the JVM

Discover the essential skill for optimizing Spark performance: mastering the Spark UI and understanding the job execution graph

52
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Broadcom Modernizes Machine Learning and Anomaly Detection with ksqlDB

Confluent

Mainframes are still ubiquitous, used for almost every financial transaction around the world—credit card transactions, billing, payroll, etc. You might think that working on mainframe software would be dull, requiring […].

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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.