Sat.Oct 03, 2020 - Fri.Oct 09, 2020

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Project Metamorphosis Month 6: Secure Apache Kafka in Confluent Cloud

Confluent

The cloud opens up exciting new opportunities for information gathering, analysis, and sharing that can make every organization’s products and services better. Thanks to the cloud and its decentralized nature, […].

Cloud 111
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7 Requirements for Digital Transformation

Cloudera

Digital transformation is not just about technological transformation of the organization, it’s about transforming the culture of an organization. It’s not enough to bolt technology onto an existing strategy and consider it transformed. That’s the message from our Chief Marketing Officer Mick Hollison discussing digital transformation with Charlene Li at Cloudera Now. .

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Self Service Real Time Data Integration Without The Headaches With Meroxa

Data Engineering Podcast

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy. Meroxa is a new platform that aims to automate the heavy lifting of change data capture, monitoring, and data loading.

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Announcing Vantage on Google Cloud

Teradata

Teradata Vantage on Google Cloud is now generally available! Vantage on Google Cloud is an as-a-service offer in which customers can get the most analytic value from their data. Read more.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Restoring Balance to the Cluster: Self-Balancing Clusters in Confluent Platform 6.0

Confluent

Apache Kafka® scales well. A Kafka cluster can grow to tens or hundreds of brokers and easily sustain tens of GB per second of read and write traffic. But scaling […].

Kafka 103
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7 New Ways Cloudera Is Investing in Our Culture

Cloudera

As Cloudera offices around the world continue to cope with the impact of COVID-19, we have worked hard to ease stress and adapt to remote working. People are the heart of our company and we’re investing in creative, new ways to make every Clouderan feel valued and appreciated. Clouderans are superstars at work and at home, and burn-out is unhealthy for employees, their families, and the company.

Designing 104

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Zero Down – and Pay Only for What You Use with Teradata Consumption Pricing

Teradata

Consumption Pricing is a usage-based option with automatic elasticity in which you pay only for compute resources consumed for successful queries, plus storage. Learn more.

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Introducing Cluster Linking in Confluent Platform 6.0

Confluent

With the release of Confluent Platform 6.0 comes a preview of Confluent Cluster Linking available to self-managed customers and in Confluent Cloud for our early access partners. Cluster Linking is […].

Cloud 90
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Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

Cloudera

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds.

Cloud 93
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Scala 3: Type Lambdas Quickly Explained

Rock the JVM

Exploring type lambdas in Scala 3: a quick yet powerful structure that will elevate your high-level thinking

Scala 52
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Accelerating Innovation in the Analytic Ecosystem: Accessibility

Teradata

In the final part of this 3-part series on reducing conflict between business & IT to accelerate innovation, we focus on enabling accessibility to data with security & governance.

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Getting Started with Kafka Connect for New Relic

Confluent

It’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what the issue is, if it’s impacting users, and resolve it […].

Kafka 46
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Building a Simple CRUD web application and image store using Cloudera Operational Database and Flask

Cloudera

The Cloudera Operational Database (COD) is a managed dbPaaS solution available as an experience in Cloudera Data Platform (CDP). It offers multi-modal client access with NoSQL key-value using Apache HBase APIs and relational SQL with JDBC (via Apache Phoenix). The latter makes COD accessible to developers who are used to building applications that use MySQL, Postgres, etc.

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Types, Kinds, and Type Constructors in Scala

Rock the JVM

Discover Scala's powerful type system: explore type organization, type constructors, and their significance

Scala 52
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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Retailers - Don't be a Data Zombie!

Teradata

The retailer of the future is like a live organism - it will use a data brain to develop new agility and effective responses to rapidly evolving situations. Read more.

Retail 52
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3 Tools to Help Debug Slow Queries in MongoDB

Rockset

Regardless of what database you pick to run your application—MongoDB, Postgres, Oracle, or Cassandra—you will eventually encounter the same issue: slow queries. Slow queries can be the result of inefficient query design, inefficient table design, or general infrastructure problems. Although it may be tempting to add more machines or further complicate your data infrastructure to speed up your queries, improving the queries themselves is usually the best place to start when you want to improve da

MongoDB 40
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Collaboration is Key to Reducing Pain and Finding Value in Data

Cloudera

This is a guest blog post, authored by John Zantey, Director and Co-founder, Qabsu. When it comes to cloud, being an early adopter does not necessarily put you ahead of the game. I know of companies that have been perpetually “doing cloud” for 10 years, but very few that have “done cloud” in a way that democratises and makes data accessible, with minimal pain points.

Bytes 67
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Types, Kinds, and Type Constructors in Scala

Rock the JVM

Discover Scala's powerful type system: explore type organization, type constructors, and their significance

Scala 52
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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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Build A StackOverflow Dashboard (Part 2): Crafting BigQuery Views and Superset Charts

Preset

In part 2, we'll start to visualize trends using Superset charts.

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How Zalando prepares for Cyber Week

Zalando Engineering

Introduction Cyber Week has become an increasingly important time of the year in e-commerce. In 2019 , we have attracted 840,000 new customers and our sales (Gross Merchandise Volume) increased by 32% compared to the previous year. During the event we grew faster as a business than throughout the year where we grow at a 20-25% rate. Our peak orders per minute reached 7,200 compared to 4,200 the year before (+71% YoY).

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The Superset REST API

Preset

A high level tour of Apache Superset's REST API

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