September, 2022

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Data Lake / Lakehouse Guide: Powered by Data Lake Table Formats (Delta Lake, Iceberg, Hudi)

Simon Späti

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Asked yourself what components and features would that include. Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Or you just wanted to govern your hundreds to thousands of files and have more database-like features but don’t know how?

Data Lake 130
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Airflow Taskflow API: The Guide

Marc Lamberti

Airflow Taskflow is a new way of writing DAGs at ease. As you will see, you need to write fewer lines than before to obtain the same DAG. That helps to make DAGs easier to build, read, and maintain. The Taskflow API has three main aspects: XCOM Args, Decorator, and XCOM backends. In this tutorial, you will learn what the Taskflow API is, why it is crucial for you, and how to create your DAGs.

SQL 130
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Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

Summary Any business that wants to understand their operations and customers through data requires some form of pipeline. Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data.

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How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat

KDnuggets

Subset selection is one of the most frequently performed tasks while manipulating data. Pandas provides different ways to efficiently select subsets of data from your DataFrame.

Data 160
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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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Real-Time Gaming Infrastructure for Millions of Users with Apache Kafka, ksqlDB, and WebSockets

Confluent

How gaming enterprises like Sony and Big Fish Games use Apache Kafka®, Confluent, and ksqlDB’s data streaming technologies for the best in-game experience, ROI, and real-time capabilities.

Kafka 124
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Top 10 Globally Recognized Certifications for Cyber Security

U-Next

Introduction . Cybersecurity or computer security and information security is the act of preventing theft, damage, loss, or unauthorized access to computers, networks, and data. As our interconnections grow, so do the chances for evil hackers to steal, destroy, or disrupt our lives. The increase in cybercrime has increased the demand for cybersecurity expertise.

More Trending

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Large Scale Industrialization Key to Open Source Innovation

Cloudera

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers. Cloudera has been parlaying those patterns into clear wins for the community at large and, more importantly, streamlining the benefits of that innovation to

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Build A Common Understanding Of Your Data Reliability Rules With Soda Core and Soda Checks Language

Data Engineering Podcast

Summary Regardless of how data is being used, it is critical that the information is trusted. The practice of data reliability engineering has gained momentum recently to address that question. To help support the efforts of data teams the folks at Soda Data created the Soda Checks Language and the corresponding Soda Core utility that acts on this new DSL.

Building 100
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More Performance Evaluation Metrics for Classification Problems You Should Know

KDnuggets

When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.

Building 160
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Keeping Multiple Databases in Sync Using Kafka Connect and CDC

Confluent

Microservices have numerous benefits, but data silos are incredibly challenging. Learn how Kafka Connect and CDC provide real-time database synchronization, bridging data silos between all microservice applications.

Kafka 122
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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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Rejoice! The Vantage Analytics and Data Platform Provide Incredible Power for All in a “Cloudy” Environment

Teradata

With the release of VantageCloud Lake and ClearScape Analytics, Teradata brings a cloud-native architecture to extend the technical innovations and differentiators that Vantage is well known for.

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The Rise of the Semantic Layer

Simon Späti

A semantic layer is something we use every day. We build dashboards with yearly and monthly aggregations. We design dimensions for drilling down reports by region, product, or whatever metrics we are interested in. What has changed is that we no longer use a singular business intelligence tool; different teams use different visualizations (BI, notebooks, and embedded analytics).

BI 130
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Data Governance and Strategy for the Global Enterprise

Cloudera

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). If you missed it, you can read up about it here. Modern data lakehouses are typically deployed in the cloud. Cloud computing brings several distinct advantages that are core to the lakehouse value proposition.

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Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

Data Engineering Podcast

Summary Data integration from source systems to their downstream destinations is the foundational step for any data product. With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. The team at Fivetran have recently introduced that functionality to power real-time data products.

Food 100
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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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SQL vs NoSQL: 7 Key Takeaways

KDnuggets

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

NoSQL 160
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Excited to be back at Google Cloud Next 2022!

Confluent

Highlighting sessions on the power of our Confluent-Google partnership: multi-layer data security, real-time cloud data streaming and analytics, database modernization, and more.

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What Do You Want to be Famous for?

Teradata

Financial services organizations that exhibit true data literacy avoid bottlenecks and instead choose to build best in class solutions that meet current and future needs. Find out more.

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

Netflix Tech

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5 years, its usage has increased, and Timestone is now also the priority queueing engine backing Conductor , our general-purpose workflow orchestration engine, and BDP Sch

Systems 87
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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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The Modern Data Lakehouse: An Architectural Innovation

Cloudera

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

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Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Data Engineering Podcast

Summary In order to improve efficiency in any business you must first know what is contributing to wasted effort or missed opportunities. When your business operates across multiple locations it becomes even more challenging and important to gain insights into how work is being done. In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location

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5 Concepts You Should Know About Gradient Descent and Cost Function

KDnuggets

Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.

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Event-Driven Microservices with Python and Apache Kafka

Confluent

A deep dive into how microservices work, why it’s the backbone of real-time applications, and how to build event-driven microservices applications with Python and Kafka.

Kafka 98
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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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KonMari your data: Planning a query migration using the Marie Kondo method

dbt Developer Hub

If you’ve ever heard of Marie Kondo, you’ll know she has an incredibly soothing and meditative method to tidying up physical spaces. Her KonMari Method is about categorizing, discarding unnecessary items, and building a sustainable system for keeping stuff. As an analytics engineer at your company, doesn’t that last sentence describe your job perfectly?!

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Living Out Our Purpose

Teradata

At Teradata, we are committed to operating a business that takes a responsible view of our impact on society and the planet. Find out how we are living this commitment everyday.

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Improve Underwriting Using Data and Analytics

Cloudera

Insurance carriers are always looking to improve operational efficiency. We’ve previously highlighted opportunities to improve digital claims processing with data and AI. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Underwriting is an area that can yield improvements by applying the old saying “work smarter, not harder.

Insurance 101
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Building A Shared Understanding Of Data Assets In A Business Through A Single Pane Of Glass With Workstream

Data Engineering Podcast

Summary There is a constant tension in business data between growing siloes, and breaking them down. Even when a tool is designed to integrate information as a guard against data isolation, it can easily become a silo of its own, where you have to make a point of using it to seek out information. In order to help distribute critical context about data assets and their status into the locations where work is being done Nicholas Freund co-founded Workstream.

Building 100
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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.

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Lessons from a Senior Data Scientist

KDnuggets

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

Data 151
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6 Ways Data Streaming is Transforming Financial Services

Confluent

How banks and finance companies use Confluent to transform their digital systems with event-driven architecture, real-time payment processing, fraud detection, and analytics.

Banking 95
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The case against `git cherry pick`: Recommended branching strategy for multi-environment dbt projects

dbt Developer Hub

Why do people cherry pick into upper branches? ​ The simplest branching strategy for making code changes to your dbt project repository is to have a single main branch with your production-level code. To update the main branch, a developer will: Create a new feature branch directly from the main branch Make changes on said feature branch Test locally When ready, open a pull request to merge their changes back into the main branch If you are just getting started in dbt and deciding which branchin

Project 59
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Three steps to maximise value of RegTech investments

Teradata

RegTech is the word on everyone’s lips as financial services businesses look for ways to manage the avalanche of regulatory reporting precipitated by the 2008 financial crisis.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.