Cloudera

MARCH 14, 2023

In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development. Key requirements for building data pipelines Every data pipeline starts with a business requirement.

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Ascend.io

NOVEMBER 28, 2023

The terms ‘data orchestration’ and ‘data pipeline orchestration’ are often used interchangeably, yet they diverge significantly in function and scope. In contrast, data pipeline orchestration is a more targeted approach. What Is Data Pipeline Orchestration?

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Data Engineering Podcast

OCTOBER 28, 2021

In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. Start trusting your data with Monte Carlo today! Start trusting your data with Monte Carlo today!

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Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). not sponsored.

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Ascend.io

JANUARY 2, 2024

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.

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Ascend.io

MARCH 8, 2023

Calling all Ascend users — and anyone interested in the future of Data Pipeline Automation! Registration for our 2023 Data Pipeline Automation Summit on April 12-14 is now open, completely virtual and free. Over the three-day event, we will be joined by exciting keynotes and expert speakers. Not convinced yet?

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Ascend.io

MARCH 8, 2023

Calling all Ascend users — and anyone interested in the future of Data Pipeline Automation! Registration for our 2023 Data Pipeline Automation Summit on April 12-14 is now open, completely virtual and free. Over the three-day event, we will be joined by exciting keynotes and expert speakers. Not convinced yet?

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Databand.ai

JUNE 8, 2023

Observability in Your Data Pipeline: A Practical Guide Eitan Chazbani June 8, 2023 Achieving observability for data pipelines means that data engineers can monitor, analyze, and comprehend their data pipeline’s behavior. This is part of a series of articles about data observability.

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Data Engineering Podcast

APRIL 19, 2021

Summary Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

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Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council.

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Cloudyard

JULY 11, 2023

Read Time: 4 Minute, 32 Second In this post, we will explore the utilization of EVENT tables to capture erroneous data. To achieve this, a Python process is employed to process the input feed file, identifying and excluding the flawed records, while simultaneously logging them in an event table. import json : To read JSON data.

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Data Engineering Podcast

JANUARY 26, 2020

Summary Data pipelines are complicated and business critical pieces of technical infrastructure. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. What are some of the types of checks and assertions that can be made about a pipeline using Great Expectations?

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ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

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Netflix Tech

NOVEMBER 14, 2023

We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Furthermore, we’ll delve into the inner workings of Psyberg, its unique features, and how it integrates into our data pipelining workflows. It also becomes inefficient as the data scale increases.

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Cloudera

MAY 10, 2024

The event, taking place virtually from May 14-15, features a variety of speaking sessions from experts, community members, and practitioners who will share insights and best practices for leveraging the full power of Iceberg. With that in mind, we’re excited to share that Cloudera is a sponsor of this year’s Iceberg Summit 2024.

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databricks

OCTOBER 24, 2023

"I can't think of anything that's been more powerful since the desktop computer." — Michael Carbin, Associate Professor, MIT, and Founding Advisor, MosaicML A.

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Christophe Blefari

MARCH 24, 2023

I really liked the presentations from Mage and Kestra and even if I was focus on hosting the event it was great to see 2 other visions about the future of orchestration. Out of the box Mage provide all-in-one web editor to write data pipelines with a great UX. Which, to be honest, are not really far from Airflow. Now Kestra.

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Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. Instead, Let’s examine the current data pipeline architecture and ask why data quality is expensive. Instead of looking at the implementation of the data quality frameworks, Let's examine the architectural patterns of the data pipeline.

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Rockset

MARCH 5, 2020

In many organizations, Kafka is the foundational platform for real-time event analytics, acting as a central location for collecting event data and making it available in real time. In this e-commerce example, Fynd analyzes clickstream data in Kafka to understand what’s happening in the business over the last few minutes.

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Netflix Tech

NOVEMBER 14, 2023

Now, let’s explore the state of our pipelines after incorporating Psyberg. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. The session metadata table can then be read to determine the pipeline input.

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Rockset

SEPTEMBER 15, 2020

However, one difference between a real-time database and a streaming logging system is that the database provides a query API that can perform random queries on the event stream. The data warehouse is then used to gather insights from their data. These data pipelines add to data latency.

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Grouparoo

MAY 11, 2021

Sheets has an impressive API , but it's not event driven. It won't easily let him know when the data changes, so he'd probably end up polling it for changes every now and again. But alas, our poor web developer Dylan knows that this isn't so easy. After all, how could one keep Google Sheets in sync with Mailchimp?

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Data Engineering Podcast

NOVEMBER 6, 2022

Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc., Hevo Data is a highly reliable and intuitive data pipeline platform used by data engineers from 40+ countries to set up and run low-latency ELT pipelines with zero maintenance.

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Start Data Engineering

OCTOBER 11, 2021

Leetcode: data structures and algorithms 4. Data modeling 4.1 Data warehousing 4.2 Data pipelines 6. Event streaming 8. Introduction Skills 1. Distributed system fundamentals 7. System design 9. Business questions 10. Cloud computing 11.

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Netflix Tech

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams.

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Christophe Blefari

SEPTEMBER 25, 2023

Data Economy 💰 Cisco acquired Splunk for $28b in cash. Splunk has been here for a while providing a all-in-one platform for tech observability by ingesting logs and events to provide insights on a tech stack. Secoda is a data catalog tool with lineage and monitoring capabilities. Providing more control over data storage.

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Christophe Blefari

SEPTEMBER 25, 2023

Data Economy 💰 Cisco acquired Splunk for $28b in cash. Splunk has been here for a while providing a all-in-one platform for tech observability by ingesting logs and events to provide insights on a tech stack. Secoda is a data catalog tool with lineage and monitoring capabilities. Providing more control over data storage.

Data 130

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Precisely

MAY 13, 2024

You should also be able to deploy data pipelines anywhere your data lives, whether it be on-premises, public cloud, private cloud, multi-cloud, or hybrid environment. Questions to ask each vendor: How do your solutions provide data delivery resiliency and backup in the event of a service disruption?

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Ascend.io

APRIL 22, 2024

The Evolution of Data Engineering Over the past decade, we’ve seen tremendous change in the data engineering landscape. As companies scale their data and analytics capabilities, their data pipelines and operations have grown increasingly complex. Most of this data is never collected, and lost forever.

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Data Engineering Podcast

FEBRUARY 20, 2022

RudderStack’s smart customer data pipeline is warehouse-first. It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. RudderStack’s smart customer data pipeline is warehouse-first.

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Data Engineering Podcast

DECEMBER 4, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines.

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Data Engineering Podcast

DECEMBER 11, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Sign up free at dataengineeringpodcast.com/rudder Build Data Pipelines.

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ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

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Marc Lamberti

SEPTEMBER 21, 2021

Or act differently according to if a task succeeds, fails or event gets skipped? In order to address a ton of use cases with your data pipelines you need to master one concept, the Airflow Trigger Rules. They allow you to make more complex data pipelines and address real use cases.

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Databand.ai

AUGUST 30, 2023

It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time. This includes data ingestion, processing, storage, and analysis.

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Rockset

APRIL 3, 2020

Such events would also lead to business loss. ARCHITECTURE: The proposed template of the solution and data pipeline for fleet management would look as shown in the below diagram. The solution will offer a dashboard to: monitor parameters like overall health – engine temperature, fuel pressure, etc.

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