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

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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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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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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

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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.

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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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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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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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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.

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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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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.

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

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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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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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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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Introducing the Current 2022 Program Committee

Confluent

The committee will ensure Current has the best speakers from top companies in every industry, and cover all streaming data technologies.

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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.

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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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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.

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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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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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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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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.

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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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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.

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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.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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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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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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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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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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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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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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Python For Machine Learning: eBook Review

KDnuggets

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

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Mistakes That Newbie Data Scientists Should Avoid

KDnuggets

Check out this list of common mistakes that data science newbies make, so you know what to avoid in your job search journey.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.