December, 2021

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3 Tools to Track and Visualize the Execution of Your Python Code

KDnuggets

Avoid headaches when debugging in one line of code.

Coding 160
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A Guide to Stream Processing and ksqlDB Fundamentals

Confluent

Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […].

Process 141
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Cloudera Response to CVE-2021-44228

Cloudera

Summary. On December 10th 2021, the Apache Software Foundation released version 2.15.0 of the Log4j Java logging library, fixing CVE-2021-44228 , a remote code execution vulnerability affecting Log4j 2.0-2.14. An attacker can use this vulnerability to instruct affected systems to download and execute a malicious payload through submitting a custom-crafted request.

Java 132
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Revisiting The Technical And Social Benefits Of The Data Mesh

Data Engineering Podcast

Summary The data mesh is a thesis that was presented to address the technical and organizational challenges that businesses face in managing their analytical workflows at scale. Zhamak Dehghani introduced the concepts behind this architectural patterns in 2019, and since then it has been gaining popularity with many companies adopting some version of it in their systems.

BI 130
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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 to choose the right tools for your data pipeline

Start Data Engineering

1. Introduction 2. Requirements 3. Components 4. Choosing tools 4.1 Requirement x Component framework 4.2 Filters 5. Conclusion 6. Further reading 1. Introduction If you are building data pipelines from the ground up, the number of available data engineering tools to choose from can be overwhelming. If you are thinking Most of the tools seem to be doing the same/similar thing, which one should I choose?

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Azure Data Factory Linked Service: Advanced Authoring

Azure Data Engineering

We have discussed Linked Service parameterization through the UI, in a previous post. But not all Linked Service Types support parametrization using the UI. In this post, we will discuss the Linked Services that can’t be parameterized using the UI. (i.e., they don’t have any option to add parameter). If you are familiar with Azure Services, you might know that the Linked Services or any other Azure artefact has corresponding underlying JSON code.

Coding 130

More Trending

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Best Tutorials for Getting Started with Apache Kafka

Confluent

Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […].

Kafka 135
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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

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Fast And Flexible Headless Data Analytics With Cube.JS

Data Engineering Podcast

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. In this episode Artom Keydunov and Pavel Tiunov share their work on Cube.js and the various ways that it is being used in the open source community. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the p

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8 analytics startups to watch over the next year

DataKitchen

The post 8 analytics startups to watch over the next year first appeared on DataKitchen.

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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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Cadence Multi-Tenant Task Processing

Uber Engineering

Introduction. Cadence is a multi-tenant orchestration framework that helps developers at Uber to write fault-tolerant, long-running applications, also known as workflows. It scales horizontally to handle millions of concurrent executions from various customers. It is currently used by hundreds of … The post Cadence Multi-Tenant Task Processing appeared first on Uber Engineering Blog.

Process 104
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4 Reasons Why You Shouldn’t Use Machine Learning

KDnuggets

It's time to learn: machine learning is not a Swiss Army knife.

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I Interviewed Nearly 200 Apache Kafka Experts and I Learned These 10 Things

Confluent

Many leading lights of the Apache Kafka® community have appeared as guests on Streaming Audio at one time or another in the past three years. But some of its episodes […].

Kafka 129
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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines.

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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 Auditable Spark Pipelines At Capital One

Data Engineering Podcast

Summary Spark is a powerful and battle tested framework for building highly scalable data pipelines. Because of its proven ability to handle large volumes of data Capital One has invested in it for their business needs. In this episode Gokul Prabagaren shares his use for it in calculating your rewards points, including the auditing requirements and how he designed his pipeline to maintain all of the necessary information through a pattern of data enrichment.

Building 130
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2022 Big Data Predictions from the Cloud

DataKitchen

The post 2022 Big Data Predictions from the Cloud first appeared on DataKitchen.

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Reference Data: Smoothing Out the Bumps in M&A

Teradata

M&A is an important part of an organization's growth strategy. Getting reference data right can be foundational to overcoming many challenges that come with it.

Data 98
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How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022

KDnuggets

AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

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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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The Definitive Guide to Building a Data Mesh with Event Streams

Confluent

Data mesh. This oft-talked-about architecture has no shortage of blog posts, conference talks, podcasts, and discussions. One thing that you may have found lacking is a concrete guide on precisely […].

Building 129
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AI and ML: No Longer the Stuff of Science Fiction

Cloudera

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have in

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Building A System Of Record For Your Organization's Data Ecosystem At Metaphor

Data Engineering Podcast

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data. In this episode Pardhu Gunnam and Mars Lan explain how they have designed the architecture and user experience to allow everyone to collaborate on the data lifecycle and provide opportunities for automatio

Systems 100
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Reducing The Cost Of Failure With DataOps

DataKitchen

The post Reducing The Cost Of Failure With DataOps first appeared on DataKitchen.

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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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Delivering Actionable Financial Insights to Automotive Business Leaders

Teradata

Automotive businesses need to build new frameworks for CFO Analytics that leverage existing systems to provide the granular, timely data they need to succeed. Read more.

Systems 89
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Hands-On Reinforcement Learning Course, Part 2

KDnuggets

Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.

Python 160
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Serverless Stream Processing with Apache Kafka, AWS Lambda, and ksqlDB

Confluent

It seems like now more than ever developers are surrounded by a sea of terminology—but what does it really all mean? Here, we will take some often heard terms—some considered […].

AWS 126
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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

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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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Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform

Data Engineering Podcast

Summary The core to providing your users with excellent service is to understand them and provide a personalized experience. Unfortunately many sites and applications take that to the extreme and collect too much information. In order to make it easier for developers to build customer profiles in a way that respects their privacy Serge Huber helped to create the Apache Unomi framework as an open source customer data platform.

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2021 Gift Giving Guide for Data Nerds

DataKitchen

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Here are eight highly recommendable books to help you find that special gift. ?? ?? ???. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

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Snaring the Bad Folks

Netflix Tech

Project by Netflix’s Cloud Infrastructure Security team ( Alex Bainbridge , Mike Grima , Nick Siow) Cloud security is a hard problem, but an even harder one is cloud security at scale. In recent years we’ve seen several cloud focused data breaches and evidence shows that threat actors are becoming more advanced with their techniques, goals, and tooling.

AWS 83
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Alternative Feature Selection Methods in Machine Learning

KDnuggets

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

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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.