Sat.Nov 06, 2021 - Fri.Nov 12, 2021

article thumbnail

Setting up end-to-end tests for cloud data pipelines

Start Data Engineering

1. Introduction 2. Setting up services locally 3. Writing an end-to-end data pipeline test 4. Conclusion 5. Further reading 6. References 1. Introduction Data pipelines can have multiple software components. This makes testing all of them together difficult. If you are wondering What is the best way to end-to-end test data pipelines? Are end-to-end tests worth the effort?

article thumbnail

Azure Data Factory: Filter Activity

Azure Data Engineering

In the previous post, we discussed the Switch Activity , which is useful for branching the control flow based on some condition. We will discuss about the Filter Activity in this post. The purpose of Filter Activity is to process array items based on some condition. Consider a scenario where we would like to set the value of a variable to the current array item that satisfies some business rule or condition.

SQL 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Scaling Apache Druid for Real-Time Cloud Analytics at Confluent

Confluent

How does Confluent provide fine-grained operational visibility to our customers throughout all of the multi-tenant services that we run in the cloud? At Confluent Cloud, we manage a large number […].

Cloud 133
article thumbnail

How Uber Migrated Financial Data from DynamoDB to Docstore

Uber Engineering

Introduction. Each day, Uber moves millions of people around the world and delivers tens of millions of food and grocery orders. This generates a large number of financial transactions that need to be stored with provable completeness, consistency, and compliance. … The post How Uber Migrated Financial Data from DynamoDB to Docstore appeared first on Uber Engineering Blog.

Food 132
article thumbnail

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?

article thumbnail

Eliminate Friction In Your Data Platform Through Unified Metadata Using OpenMetadata

Data Engineering Podcast

Summary A significant source of friction and wasted effort in building and integrating data management systems is the fragmentation of metadata across various tools. After experiencing the impacts of fragmented metadata and previous attempts at building a solution Suresh Srinivas and Sriharsha Chintalapani created the OpenMetadata project. In this episode they share the lessons that they have learned through their previous attempts and the positive impact that a unified metadata layer had during

Metadata 100
article thumbnail

7 Top Open Source Datasets to Train Natural Language Processing (NLP) & Text Models

KDnuggets

With a lot of excitement and research around NLP, there are growing opportunities to apply these technologies to real-world scenarios. It's not trivial to become familiar with NLP and these open-source data sets can help you increase your skills.

Datasets 123

More Trending

article thumbnail

Bringing AV1 Streaming to Netflix Members’ TVs

Netflix Tech

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources. Netflix is proud to be a founding member of AOMedia and a key contributor to the development of AV1.

Media 98
article thumbnail

Business Intelligence Beyond The Dashboard With ClicData

Data Engineering Podcast

Summary Business intelligence is often equated with a collection of dashboards that show various charts and graphs representing data for an organization. What is overlooked in that characterization is the level of complexity and effort that are required to collect and present that information, and the opportunities for providing those insights in other contexts.

article thumbnail

What Comes After HDF5? Seeking a Data Storage Format for Deep Learning

KDnuggets

In this article we are discussing that HDF5 is one of the most popular and reliable formats for non-tabular, numerical data. But this format is not optimized for deep learning work. This article suggests what kind of ML native data format should be to truly serve the needs of modern data scientists.

article thumbnail

Defining Simplicity for Enterprise Software as “a 10 Year Old Can Demo it”

Cloudera

Arjun (my son) sat next to me at my desk. He was a bit nervous but we had practiced 3 times before he was ‘on stage’ in front of hundreds of people and the zoom meeting turned to him. My ten year old began to demonstrate how to deploy an Operational Database in AWS, showcasing how auto-scaling worked and how to set up replication. All of the sales team and my colleagues were quite impressed with him, and I am very proud of him.

IT 97
article thumbnail

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.

article thumbnail

The Benefits and Drawbacks of DataOps in Practice

DataKitchen

The post The Benefits and Drawbacks of DataOps in Practice first appeared on DataKitchen.

119
119
article thumbnail

Easily Copy or Migrate Schemas Anywhere with Schema Linking

Confluent

Schema Linking is a new feature that’s available in preview for both Confluent Cloud and Confluent Platform 7.0 and can be used to complement Cluster Linking, in order to keep […].

Cloud 72
article thumbnail

Deep Learning on your phone: PyTorch C++ API for use on Mobile Platforms

KDnuggets

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

article thumbnail

Sentry to Ranger – A concise Guide

Cloudera

Cloudera Data Platform (CDP) brings many improvements to customers by merging technologies from the two legacy platforms, Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). CDP includes new functionalities as well as superior alternatives to some previously existing functionalities in security and governance. One such major change for CDH users is the replacement of Sentry with Ranger for authorization and access control. .

Hadoop 77
article thumbnail

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.

article thumbnail

How to Learn Computer Vision from Scratch in 2023?

ProjectPro

Are you willing to learn computer vision but cannot find the perfect guide to start your learning? If yes, then here’s a blog that will help you attain your goal in the easiest way possible! Read this blog until the end to learn how you can learn computer vision from scratch as a beginner. Before diving into the blog further, let us first look at why now is the best time to hone some computer vision skills.

article thumbnail

Building Real-Time Hybrid Architectures with Cluster Linking and Confluent Platform 7.0

Confluent

Companies are increasingly moving to the cloud, undergoing a transition that is often a multi-year journey across incremental stages. Along this journey, many companies embrace hybrid cloud architectures, either temporarily […].

article thumbnail

The Ultimate Guide To Different Word Embedding Techniques In NLP

KDnuggets

A machine can only understand numbers. As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors.

105
105
article thumbnail

Data Lakehouse: Concept, Key Features, and Architecture Layers

AltexSoft

In 1901, a woman by the name of Julia Davis Chandler published the recipe that changed the world for good. People saw the very first recipe of a peanut butter and jelly sandwich. While both a peanut butter sandwich and a jelly sandwich are great individually, it’s hard to argue that together they make the most epic combo complementing each other’s best flavoring qualities.

article thumbnail

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.

article thumbnail

10 Reasons Why Aspiring Data Engineers Choose Pipeline Academy

Pipeline Data Engineering

Ambitious data analysts, data scientists trying to take their careers to the next level, product owners aiming to build next-generation data products, software engineers dealing with legacy data stacks. they all are facing the same challenge: how do I get the data engineering skills that enable me to achieve my goals? This frustration is very real, and it is indeed very common!

article thumbnail

How to Implement CDC for MySQL and Postgres

Rockset

There are multiple change data capture methods available when using a MySQL or Postgres database. Some of these methods overlap and are very similar regardless of which database technology you are using, others are different. Ultimately, we require a way to specify and detect what has changed and a method of sending those changes to a target system.

MySQL 52
article thumbnail

The Common Misconceptions About Machine Learning

KDnuggets

Beginners in the field can often have many misconceptions about machine learning that sometimes can be a make-it-or-break-it moment for the individual switching careers or starting fresh. This article clearly describes the ground truth realities about learning new ML skills and eventually working professionally as a machine learning engineer.

article thumbnail

Data Engineering Annotated Monthly – October 2021

Big Data Tools

The lockdowns are back again in Moscow, which means that conferences are again out of the question for me for some time. The good news is that I had time to put together this new installment of our Data Engineering Annotated! Hi, I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

article thumbnail

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.

article thumbnail

Computer Vision: Algorithms and Applications to Explore in 2023

ProjectPro

Computer vision is one of the most trending and compelling subfields of artificial intelligence. You must have encountered and used the applications of computer vision without even knowing it. Whether it is quality control of crops through image classification or image processing for electronic deposits, computer vision techniques are transforming industries across the globe.

article thumbnail

Banks: The Right Hand of Climate Policy

Teradata

When it comes to making progress on climate change, banks have a critical role in translating commitments into actions by influencing where, how & when money is spent.

Banking 52
article thumbnail

What’s missing from self-serve BI and what we can do about it

KDnuggets

The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.

BI 100
article thumbnail

Data Engineering Annotated Monthly – October 2021

Big Data Tools

The lockdowns are back again in Moscow, which means that conferences are again out of the question for me for some time. The good news is that I had time to put together this new installment of our Data Engineering Annotated! Hi, I’m Pasha Finkelshteyn , and I’ll be your guide through this month’s news. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community.

article thumbnail

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.

article thumbnail

Implementing Graceful Shutdown in Go

RudderStack

This post details the implementation of graceful shutdown on Rudder Server. You'll find a number of anti-patterns & learn how to make exiting graceful in Go.

40
article thumbnail

Announcing Monte Carlo’s End-to-End Field-Level Lineage to Help Teams Achieve Data Reliability

Monte Carlo

Monte Carlo’s field-level lineage helps data teams track column-level dependencies from ingestion in the data warehouse or lake to dashboards and reports in the BI layer. It’s Friday evening, and you are wrapping up after a long week of work. Before logging off, you make a schema change to a table in your warehouse – and don’t think twice as you close your laptop and get started on your weekend.

article thumbnail

OpenAI’s Approach to Solve Math Word Problems

KDnuggets

OpenAI's latest research aims to solve math word problems. Let's dive a bit deeper into the ideas behind this new research.

115
115
article thumbnail

Cloudera Addresses Executive Order on Improving U.S. Cybersecurity with Data Analytics

Cloudera

SANTA CLARA, Calif., Nov. 9, 2021 – Cloudera, the enterprise data cloud company, today announced Cloudera Data Platform capabilities available to help federal agencies meet requirements of the Biden Administration’s Executive Order on improving the Nation’s cybersecurity. Cloudera is committed to supporting the federal government in adhering to this executive order with the company’s technology and special government rates. .

article thumbnail

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.