Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Ascend.io

JANUARY 2, 2024

Getting your hands on the right data at the right time is the lifeblood of any forward-thinking company. 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. What Is a Data Pipeline?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

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Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Ascend.io

JULY 28, 2023

Data pipelines are integral to business operations, regardless of whether they are meticulously built in-house or assembled using various tools. As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Ready to fortify your data management practice?

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Data Pipeline Architecture Lambda Architecture Data Architecture 52

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Ascend.io

MARCH 17, 2023

Theoretically, data and analytics should be the backbones of decision-making in business. Like mitochondria power a cell, data powers a business. Today, there are no intelligent systems that deliver data at the pace, and with the impact, leaders need to power the business. But for most companies, that’s not the reality.

Data Pipeline 52

Data Pipeline Datasets Data Software Engineer 52

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. 1 The enterprise data lifecycle.

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Data Pipeline Building Manufacturing Data Warehouse 116

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The idea is to create a living reference about Data Engineering.

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Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

MAY 16, 2023

In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive?

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

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. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

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Data Pipeline Architecture Kafka AWS 52

Snowflake

JULY 18, 2023

For many businesses, gathering compliance data means manually collecting PDFs and screenshots. That’s a slow and laborious process, but anecdotes AI streamlines compliance and eliminates redundant work with its advanced compliance data infrastructure. Discover how the company built its platform on Snowflake.

Data Process 52

Data Process Process Data Lake Data Ingestion 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

Towards Data Science

NOVEMBER 4, 2023

Platform Specific Tools and Advanced Techniques Photo by Christopher Burns on Unsplash The modern data ecosystem keeps evolving and new data tools emerge now and then. In this article, I want to talk about crucial things that affect data engineers. Are your data pipelines efficient? Data warehouse exmaple.

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Data Engineering Data Engineer Engineering BI 83

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. By using DataOps tools, organizations can break down silos, reduce time-to-insight, and improve the overall quality of their data analytics processes.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

MARCH 15, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

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. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

MARCH 20, 2024

At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts. Speaking from experience, the data engineers in this role are right in the thick of it all. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

DataKitchen

OCTOBER 20, 2023

In today’s data-driven landscape, Data and Analytics Teams i ncreasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. Data Observability platforms often need to deliver this level of customization.

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Insurance Pharmaceutical Data Data Ingestion 67

Ascend.io

JUNE 8, 2023

Because of its transformative potential, data has graduated from being merely a by-product of business operations to a critical asset in its own right. Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? Without them, data products can’t exist.

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Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Knowledge Hut

NOVEMBER 2, 2023

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. Azure Data Engineers and Azure DevOps Engineers are two critical components of the Azure ecosystem for different but interconnected reasons.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Ascend.io

AUGUST 24, 2023

In recent years, the data space has transformed significantly. This article introduces you to the Data Automation Engineer — a pivotal role in today’s data-driven world. What Is a Data Automation Engineer? The key criterion is their ability to deliver impactful data products.

Engineering 52

Engineering Data Pipeline Data Ingestion Data 52

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

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. Do you need data/ metrics at all? Sign up free to test out the tool today.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

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.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Therefore, the greatest thing you can do as a novice is to work on some real-time data engineering initiatives.

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Data Engineering Data Engineer Coding Project 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 86

Insurance Banking Data Architecture Data Ingestion 86

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Towards Data Science

MAY 3, 2023

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. They store and manage current and historical data in a data warehouse.

Data Lake 84

Data Lake Data SQL Data Warehouse 84

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? In order to manage big data and other operational services, businesses are continuously in need of data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

NOVEMBER 20, 2022

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. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Place?

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Raw Data Data Business Intelligence High Quality Data 67