Uber Engineering

AUGUST 5, 2021

Uber delivers efficient and reliable transportation across the global marketplace, which is powered by hundreds of services, machine learning models, and tens of thousands of datasets. While growing rapidly, we’re also committed to maintaining data quality, as it can greatly … The post How Uber Achieves Operational Excellence in the Data Quality Experience appeared first on Uber Engineering Blog.

Transportation 145

Transportation Datasets Machine Learning Data 145

Confluent

AUGUST 25, 2021

To effectively use ksqlDB, the streaming database for Apache Kafka®, you should of course be familiar with its features and syntax. However, a deeper understanding of what goes on underneath […].

Architecture 144

Architecture Kafka Database IT 144

AltexSoft

AUGUST 25, 2021

Humans have been trying to make machines chat for decades. Alan Turing considered computers’ ability to generate natural speech a proof of their ability to think. Today, we converse with virtual companions all the time. But despite years of research and innovation, their unnatural responses remind us that no, we’re not yet at the HAL 9000-level of speech sophistication.

Process 139

Process Deep Learning Datasets Machine Learning 139

Start Data Engineering

AUGUST 29, 2021

1. Introduction 2. Understanding your data engineering task 2.1. Data infrastructure overview 2.2. What exactly 2.3. Why exactly 2.4. Current state 2.5. Downstream impact 3. Delivering your data engineering task 3.1. How 3.2. Breakdown into sub-tasks 3.3. Delivering the finished task 4. Conclusion 5. Further reading 1. Introduction Congratulations! You are given a quick overview of the business and data architecture and are assigned your very first data engineering task.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Architecture 130

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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.

Architecture

Data Engineering Podcast

AUGUST 10, 2021

Summary All of the fancy data platform tools and shiny dashboards that you use are pointless if the consumers of your analysis don’t have trust in the answers. Stemma helps you establish and maintain that trust by giving visibility into who is using what data, annotating the reports with useful context, and understanding who is responsible for keeping it up to date.

IT 130

IT Building Data Warehouse Python 130

Cloudera

AUGUST 17, 2021

Dear Parents and Educators and Friends of Cloudera, If you are reading this blog, you know us at Cloudera as a group of self-described data geeks and data analysts. We believe data drives better decisions and moves businesses forward and for us, that’s exciting. We are innovating and helping Fortune 500 transform and grow because they can make better data-driven decisions at the accelerated pace we live and work in today.

Machine Learning 125

Machine Learning Entertainment Education Data 125

Confluent

AUGUST 31, 2021

Today, as part of our expanded partnership with Elastic, we are announcing an update to the fully managed Elasticsearch Sink Connector in Confluent Cloud. This update allows you to take […].

Cloud 122

Cloud Data Management Kafka 122

DataKitchen

AUGUST 19, 2021

The post 4 Ways Conversational AI Is Improving the Customer Experience first appeared on DataKitchen.

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Start Data Engineering

AUGUST 17, 2021

Introduction Patterns 1. Batch Data Pipelines 1.1 Process => Data Warehouse 1.2 Process => Cloud Storage => Data Warehouse 2. Near Real-Time Data pipelines 2.1 Data Stream => Consumer => Data Warehouse 2.2 Cloud Storage => process => Data Warehouse Conclusion Further Reading Introduction Loading data into a data warehouse is a key component of most data pipelines.

Data Warehouse 130

Data Warehouse Cloud Storage Data Pipeline Data 130

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis. Vinoth Chandar helped to create the Hudi project while at Uber to address this challenge.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

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!

Data

Cloudera

AUGUST 16, 2021

We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud.

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Teradata

AUGUST 17, 2021

Vantage on AWS supports Next Best Action efforts - adding new supplemental coverage on policy renewals at a rate of 250%.

Insurance 98

Insurance AWS 98

Confluent

AUGUST 6, 2021

It is often difficult enough to build one application that talks to a single middleware or backend layer; e.g., a whole team of frontend engineers may build a web application […].

Designing 119

Designing Building Engineering IT 119

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

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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.

Cloud

Netflix Tech

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In addition, Netflix continuously works with its partners (such as Roku, Samsung, LG, Amazon) to port the Netflix SDK to their new and upcoming devices (TVs, smart boxes, etc), to ensure the quality bar is reached be

Management 89

Management Kafka Transportation Cloud 89

Data Engineering Podcast

AUGUST 27, 2021

Summary The reason that so much time and energy is spent on data integration is because of how our applications are designed. By making the software be the owner of the data that it generates, we have to go through the trouble of extracting the information to then be used elsewhere. The team at Cinchy are working to bring about a new paradigm of software architecture that puts the data as the central element.

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Cloudera

AUGUST 11, 2021

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case.

Cloud 122

Cloud Big Data Cloud Computing Government 122

Teradata

AUGUST 12, 2021

For both analysts and data scientists, identifying paths and patterns in data is a valuable way to gain insight into the occurrences leading to or from any event of interest. Read more.

Data 98

Data 98

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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?

Business Intelligence

Confluent

AUGUST 26, 2021

When companies need help with their vehicle fleets—including transport, storage, or renewing expired registrations—they don’t want to have to deal with multiple vehicle logistics providers. For these companies, ACERTUS provides […].

Transportation 105

Transportation Architecture 105

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.

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Pharmaceutical Pipeline-centric Data Analytics Data Lake 98

AltexSoft

AUGUST 10, 2021

B2B sales strategies can be roughly divided into two activities: lead generation and lead conversion. It’s clear how each works. The former, attracting visitors to your website and then helping them take certain actions, is almost automated and works through carefully placed calls to action. The latter, supporting a lead to make the purchasing decision, is done by professional sales people with their arsenal of personalized tactics.

Machine Learning 72

Machine Learning Data Mining Algorithm Datasets 72

Data Engineering Podcast

AUGUST 25, 2021

Summary The technological and social ecosystem of data engineering and data management has been reaching a stage of maturity recently. As part of this stage in our collective journey the focus has been shifting toward operation and automation of the infrastructure and workflows that power our analytical workloads. It is an encouraging sign for the industry, but it is still a complex and challenging undertaking.

Data 100

Data Metadata Data Engineer Data Engineering 100

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.

Data

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . In-place Upgrade. Sidecar Migration. Rolling Sidecar Migration. Migrating to Cloud. If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. The four strategies will be relevant throughout the rest of this discussion. Today, we’ll discuss an example of how you might make this decision for a cluster using a “round of elimination” process based on our decision workflow.

Finance 120

Finance Cloud Data Government 120

Teradata

AUGUST 26, 2021

As Back to School promotions hit the shelves, Christmas & New Year offers are already locked in. Are these long-lead cycles still effective in today’s dynamic Retail & CPG environment?

Retail 98

Retail 98

Confluent

AUGUST 17, 2021

The Confluent Q3 ‘21 release is here and packed full of new features that enable the world’s most innovative businesses to continue building what keeps them on top: real-time, mission-critical […].

Building 105

Building Cloud Kafka 105

DataKitchen

AUGUST 13, 2021

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug companies desperately look for ways to compress this lengthy time frame and to demonstrate the competitive advantage of their intellectual property.

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Pharmaceutical Amazon Web Services Government Google Cloud 98

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.

Manufacturing

AltexSoft

AUGUST 4, 2021

Imagine you run a candy store. Some sweets are presented on your display cases for quick access while the rest is kept in the storeroom. Now let’s think of sweets as the data required for your company’s daily operations. Instead of combing through the vast amounts of all organizational data stored in a data warehouse, you can use a data mart — a repository that makes specific pieces of data available quickly to any given business unit.

Data Lake 64

Data Lake Data Warehouse ETL Tools Database 64

Data Engineering Podcast

AUGUST 20, 2021

Summary Data lakes have been gaining popularity alongside an increase in their sophistication and usability. Despite improvements in performance and data architecture they still require significant knowledge and experience to deploy and manage. In this episode Vikrant Dubey discusses his work on the Cuelake project which allows data analysts to build a lakehouse with SQL queries.

Building 100

Building Data Lake Data Warehouse SQL 100

Cloudera

AUGUST 2, 2021

Recently, I worked with a large fortune 500 customer on their migration from Apache Storm to Apache NiFi. If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, you’re correct. A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

Kafka 120

Kafka Java Coding Process 120

Teradata

AUGUST 22, 2021

As 5G puts data analytics at the heart of the next wave of sustainable growth, telcos must ensure their existing investments in data infrastructure can be leveraged to enable that growth.

Data Analytics 59

Data Analytics Data 59

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.

Systems