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

DECEMBER 19, 2022

We hope the real-time demonstrations of Ascend automating data pipelines were a real treat—a long with the special edition T-Shirt designed specifically for the show (picture of our founder and CEO rocking the t-shirt below). Thank you to the hundreds of AWS re:Invent attendees who stopped by our booth!

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Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. With careful consideration and learning about your market, the choices you need to make become narrower and more clear.

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Ascend.io

MARCH 2, 2023

It won with ease of use by our analysts, the comprehensive scope of its automation, and the speed of end-to-end pipeline development. Terry Dougal Intelligent Data Pipelines at Audacy Instead of hiring more data engineers to patch over all the tooling with more bespoke code, Terry shifted gears and looked for a new solution.

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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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Ascend.io

AUGUST 15, 2023

You require a comprehensive solution that addresses every facet, from ingestion and transformation to orchestration and reverse ETL. It’s no surprise, then, that the quest for Fivetran alternatives is on the rise as organizations set their sights on a more holistic data approach.

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Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

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Christophe Blefari

JANUARY 20, 2024

Then here a list of global resources that can help you navigate through the field: The Data Engineer Roadmap — An image with advices and technology names to watch. Reddit r/dataengineering wiki a place where some data eng definitions are written. workflows (Airflow, Prefect, Dagster, etc.)

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Databand.ai

AUGUST 30, 2023

DataOps also encourages a culture of continuous improvement and innovation, as teams work together to identify and address bottlenecks and inefficiencies in their data pipelines and processes. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

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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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Cloudera

NOVEMBER 1, 2023

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.

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Ascend.io

AUGUST 24, 2023

We’ll delve into what a Data Automation Engineer is and what their day-to-day looks like, explore why companies are eager to hire them, highlight how they differ from other data professionals, and offer insights on how to identify this talent. What Is a Data Automation Engineer? Read More: What Is Data Pipeline Automation?

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Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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Data Engineering Podcast

NOVEMBER 6, 2022

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

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Ascend.io

MARCH 6, 2023

Beside the usual bug fixes, this week’s release notes touch on upgrades in two essential capabilities: Observing costs of running data pipelines in the connected data planes Configuring network connections to other systems via the SDK Let’s take a quick look at these in turn.

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Ascend.io

MARCH 6, 2023

Beside the usual bug fixes, this week’s release notes touch on upgrades in two essential capabilities: Observing costs of running data pipelines in the connected data planes Configuring network connections to other systems via the SDK Let’s take a quick look at these in turn.

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Ascend.io

JANUARY 23, 2023

Our engineering team has been busy with customer-driven requirements you can read about in our release notes , but this week let’s highlight two key new capabilities that enhance your intelligent data pipelines. Check out Databricks documentation on this cool capability!

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ProjectPro

FEBRUARY 6, 2023

GCP Data Ingestion with SQL and Google Cloud Dataflow You will create a data ingestion and processing pipeline using real-time streaming and batch loading on the Google cloud platform in this GCP project. For this project, you will require the COVID-19 Cases.csv dataset from data.world.

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Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

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Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

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Ascend.io

JANUARY 10, 2024

This continuous adaptation ensures that your data management stays effective and compliant with current standards. The goal is to ensure your organization has the capability to process and prepare data effectively for your AI models. Your data pipeline platform should excel in collecting data from a wide array of sources.

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Netflix Tech

JANUARY 25, 2023

On the left we show data pipelines which are created by several of our client teams to automatically ingest new data into our service. The most important of such a data pipeline is created by the Machine Learning team. As highlighted above, we support such queries using Elasticsearch.

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Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Ascend.io

MARCH 1, 2023

Sounds like you need a new data quality solution, right? Apply Actionable Data Quality Directly in Your Data Pipelines Turns out you don’t need a new tool to address this common scenario. The fix will take an entire development cycle and run up more costs.

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Data Pipeline Data Ingestion Data Data Integration 52

Ascend.io

FEBRUARY 20, 2023

Sounds like you need a new data quality solution, right? Apply Actionable Data Quality Directly in Your Data Pipelines Turns out you don’t need a new tool to address this common scenario. The fix will take an entire development cycle and run up more costs.

Data Pipeline 52

Data Pipeline Data Ingestion Data Data Integration 52

Ascend.io

FEBRUARY 20, 2023

Sounds like you need a new data quality solution, right? Apply Actionable Data Quality Directly in Your Data Pipelines Turns out you don’t need a new tool to address this common scenario. The fix will take an entire development cycle and run up more costs.

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Data Pipeline Data Ingestion Data Data Integration 52

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Databand.ai

JULY 17, 2023

By adopting a set of best practices inspired by Agile methodologies, DevOps principles, and statistical process control techniques, DataOps helps organizations deliver high-quality data insights more efficiently. Better data observability equals better data quality.

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Monte Carlo

MAY 26, 2023

A better measurement is the data downtime formula (above), which more comprehensively measures the amount of time the data was inaccurate, missing, or otherwise erroneous. A proactive approach for measuring data freshness is to create service level agreements or SLAs for specific data pipelines.

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Data Engineering Podcast

AUGUST 21, 2022

Data stacks are becoming more and more complex. This brings infinite possibilities for data pipelines to break and a host of other issues, severely deteriorating the quality of the data and causing teams to lose trust. Data stacks are becoming more and more complex. In fact, while only 3.5% In fact, while only 3.5%

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Data Engineering Weekly

MARCH 17, 2024

Compliance is mandatory, with strict penalties for violations, emphasizing the importance of data scientists familiarizing themselves with the law to avoid prohibited AI uses and ensure ethical, safe AI development. The article compares all the VectorDB available in the market.

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Ascend.io

FEBRUARY 23, 2024

For this reason, your data platform becomes the foundation for your AI initiatives. Robust Data Ingestion AI systems thrive on diverse data sources. Your platform should be equipped with robust mechanisms for data ingestion and integration, enabling seamless flow of data from various sources into the system.

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DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Data Engineering Weekly

JUNE 4, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Perhaps unit test the pipeline? Sign up free to test out the tool today.

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Data Engineering Data Engineer Engineering Medical 52

DataKitchen

OCTOBER 20, 2023

The Solution: ‘Payload’ Data Journeys Traditional Data Observability usually focuses on a ‘process journey,’ tracking the performance and status of data pipelines. ’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event.

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Data Engineering Podcast

NOVEMBER 13, 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. And don’t forget to thank them for their continued support of this show!

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