Sat.Jun 11, 2022 - Fri.Jun 17, 2022

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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Data Orchestration Trends: The Shift From Data Pipelines to Data Products

Simon Späti

Data consumers, such as data analysts, and business users, care mostly about the production of data assets. On the other hand, data engineers have historically focused on modeling the dependencies between tasks (instead of data assets) with an orchestrator tool. How can we reconcile both worlds? This article reviews open-source data orchestration tools (Airflow, Prefect, Dagster) and discusses how data orchestration tools introduce data assets as first-class objects.

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Azure Data Factory: Monitor Self Hosted Integration Runtime Metrics

Azure Data Engineering

Self-hosted integration runtime in the context of Azure data factory is a gateway that connects the on-prem data sources to datastores in the cloud. To know more about Integration runtimes, please refer to the previous post. We have discussed how to check whether Integration Runtime is online or offline using PowerShell command in a previous post. In today’s post, lets have a look at how to monitor self-hosted integration runtime metrics such as CPU utilization, Available memory, number of concu

Utilities 130
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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information. Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time an

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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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14 Essential Git Commands for Data Scientists

KDnuggets

Learn essential Git commands for versioning and collaborating on data science projects.

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Natively Connect Teradata QueryGrid to Google BigQuery

Teradata

With the Teradata QueryGrid Google BigQuery Connector, we’re enabling our customers to natively join data between Vantage and BigQuery in real-time, at scale.

Data 98

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Hire And Scale Your Data Team With Intention

Data Engineering Podcast

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth. In this episode she shares her thoughts and insights on how to be intentional about establishing your own data team.

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Primary Supervised Learning Algorithms Used in Machine Learning

KDnuggets

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

Algorithm 159
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Build Hybrid Data Pipelines and Enable Universal Connectivity With CDF-PC Inbound Connections

Cloudera

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection. A key requirement for these use cases is the ability to not only actively pull data from source systems but to receive data that is being pushed from various sources to the central distribution service. .

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Machine Learning Metrics: How to Measure the Performance of a Machine Learning Model

AltexSoft

Choosing the machine learning path when developing your software is half the success. Yes, it’s an advanced way of doing things. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. But just because you put it there doesn’t guarantee your project will do well and pay off. So, how would you measure the success of a machine learning model?

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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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Autonomous Networks — The Telco and Media Growth Engine

Confluent

How real-time integrations between modern and legacy systems benefit communication service providers with autonomous network features, enhanced customer experiences, and more.

Media 86
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Generate Synthetic Time-series Data with Open-source Tools

KDnuggets

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

Data 155
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Turning Streams Into Data Products

Cloudera

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. .

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How Netflix Content Engineering makes a federated graph searchable (Part 2)

Netflix Tech

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily. This post will discuss how Studio Search supports querying the data available in these indices.

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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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Willie Osborn on Creating a Culture of SDR Success

Confluent

Growth marketing and sales isn’t only for growing revenue, but your sales people. Here’s how our Director of Sales ensured success for our SDRs through mentorship and upward mobility.

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Python For Machine Learning: eBook Review

KDnuggets

The guide to writing production-ready Python code for machine learning projects.

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#Clouderalife Volunteer Spotlight: Michael Billau

Cloudera

Cloudera’s June Volunteer Spotlight is Michael Billau, customer operations engineer from Raleigh, North Carolina! Michael volunteers with the Food Bank of Central and Eastern North Carolina. The Food Bank of Central and Eastern North Carolina provides food daily to the over 200,000 people facing food insecurity and hunger in the Raleigh area, while simultaneously building solutions to end hunger permanently in communities across North Carolina. .

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What is AWS Data Pipeline?

ProjectPro

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. It enables flow from a data lake to an analytics database or an application to a data warehouse. Amazon Web Services (AWS) offers an AWS Data Pipeline solution that helps businesses automate the transformation and movement of data.

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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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IDC Perspective: Accelerate Data Streaming Adoption With Confluent

Confluent

IDC shares takeaways from Kafka Summit London, how data streaming maximizes real-time data connections, revenue growth, and the ability to win in a digital-first world.

Kafka 59
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Top 15 Books to Master Data Strategy

KDnuggets

In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

Data 149
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Cloudera Recognized as 2022 Gartner® Peer Insights™

Cloudera

We are excited to announce that Cloudera is named as a 2022 Gartner Peer Insights Customers’ Choice for Cloud Database Management Systems (DBMS). Peer Insights is a user review site, the technology professional’s “go-to” destination for information on customer experience. Gartner Peer Insights collects anonymous customer reviews on select product categories.

Hadoop 73
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Snowflake Summit 2022: For Customers, Less Than 25 Percent of Data Actually Lives on the Cloud

Monte Carlo

We surveyed over 200 data leaders on the show floor at Snowflake Summit 2022 about their experiences driving data adoption in the cloud. Hint: while progress has been made to migrate data to Snowflake, gaps remain when it comes to quality, documentation, and democratization. Over the past several years, Snowflake has taken the data engineering world by storm, with a rapidly growing list of new product features, a dizzying ecosystem of technology partners, and, most importantly, an impressive col

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Apache Airflow® Best Practices: 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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7 key points to successfully upgrade from Pentaho to Apache Hop

know.bi

Why would you upgrade your Pentaho projects to Apache Hop? Before going into the details of how you should upgrade to Apache Hop , let's have a look at a couple of reasons why upgrading to Apache Hop is a good idea. We'll look at why it helps you to work with a platform that is actively innovating, is truly open source, and has an active community. Work with an innovative platform Since Apache Hop started as an Incubating project at the Apache Software Foundation back in 2020 and graduated in la

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Prepare Your Data for Effective Tableau & Power BI Dashboards

KDnuggets

Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

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Rockset Architecture Whiteboard Session With CTO Dhruba Borthakur

Rockset

In this 30 minute video overview, CTO and Rockset Co-founder Dhruba Borthakur discusses Rockset's ALT architecture , how data is ingested, stored and queried in Rockset, and why Rockset is simple to use, incredibly fast, and capable of the highly efficient execution of complex distributed queries across diverse data sets. Embedded content: [link] We'll be doing more videos like this in the future, so sign up for notices from our blog and join our community so you don't miss them.

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Snowflake Summit 2022 Keynote Recap: Disrupting Data Application Development in the Cloud

Monte Carlo

Conferences typically follow a bell curve. A few people trickle in on day one, a bit more at the welcome event. Then you peak at the keynote. After Day One, these events slowly lose steam until only the most fanatical conference warriors are roaming exhibitor booths late Thursday morning. Snowflake Summit 2022 has been different – and I mean this in the best way possible.

Cloud 52
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Monitoring Your System

Eventbrite Engineering

As Eventbrite engineering leans into team-owned infrastructure, or DevOps, we’re obviously learning a lot of new technologies in order to stand up our infrastructure, but owning the infrastructure also means it’s up to us to make sure that infrastructure is stable as we continue to release software. Obviously, the answer is that we need to … Continue reading "Monitoring Your System" The post Monitoring Your System appeared first on Engineering Blog.

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Top Data Science Podcasts for 2022

KDnuggets

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

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Why we built Propel Data | Propel Data Analytics Blog

Propel Data

Today, we are thrilled to announce Propel Data – an API Platform for developers to easily build in-product analytics with large-scale data.

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How to Build a Culture of Data Trust: A Conversation with Hilary Mason

Monte Carlo

As more companies invest in more data tools, initiatives, and teams, the appetite to become a “data-driven organization” continues to grow. But if stakeholders, consumers, and leaders across the company don’t trust that the data flowing through your pipelines and populating your products is useful and reliable, all that investment is for naught. So how can a team build a culture of data trust—especially within a complex environment?

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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.