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. The fact tables then feed downstream intraday pipelines that process the data hourly.

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Ascend.io

AUGUST 31, 2023

In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines. Their task is straightforward: take the raw data and transform it into a structured, coherent format.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. When created, Snowflake materializes query results into a persistent table structure that refreshes whenever underlying data changes. Now, that’s changing.

BI 94

BI Datasets Raw Data SQL 94

Workfall

SEPTEMBER 18, 2023

It’s designed to be user-friendly, customizable, and extensible, making it a valuable tool for data engineers, analysts, and data-driven organizations looking to streamline their data pipelines. With its drag-and-drop interface, creating data pipelines becomes as easy as arranging blocks in a puzzle.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. If you need help to understand how these tools work, feel free to drop us a message!

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

WeCloudData

OCTOBER 19, 2021

The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard. The client intends to build on and improve this data pipeline by moving towards a more serverless architecture and adding DevOps tools & workflows.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Ascend.io

NOVEMBER 21, 2023

More importantly, we will contextualize ELT in the current scenario, where data is perpetually in motion, and the boundaries of innovation are constantly being redrawn. Extract The initial stage of the ELT process is the extraction of data from various source systems. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Striim

NOVEMBER 17, 2023

Striim is the backbone of this integration, and having a working Striim instance is essential for setting up the data pipelines and connecting to your source databases. You should understand how to navigate the Striim environment, configure data sources, and set up data flows.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Grouparoo

DECEMBER 14, 2021

ETL, or Extract, Transform, Load, is a process that involves extracting data from different data sources , transforming it into more suitable formats for processing and analytics, and loading it into the target system, usually a data warehouse. ETL processes are used by organizations to generate business insights from raw data.

Process 52

Process Raw Data Data Warehouse Data Pipeline 52

Monte Carlo

OCTOBER 5, 2023

Enter the world of data clean rooms – the super secure havens where you can mix and mingle data from different sources to get insights without getting your hands dirty with the raw data. How data clean rooms work Data clean rooms combine and analyze different data sources without directly accessing the raw data.

Raw Data 52

Raw Data Medical Manufacturing AWS 52

Ascend.io

JANUARY 10, 2024

This continuous adaptation ensures that your data management stays effective and compliant with current standards. Let’s dive into what this involves and how you can make it actionable in your own setting: Data Ingestion: First things first: getting the data into the system. Actionable tip? Why is this important?

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Ascend.io

AUGUST 15, 2023

Moreover, when it comes to the economics of the modern data stack, of which Fivetran is a part, there’s a notable rent-seeking operation at play. Fragmenting the data pipeline process and relying on separate tools for each segment means you’re paying rent to multiple vendors.

Data Management 52

Data Management Management Data Ingestion Data Pipeline 52

Snowflake

AUGUST 3, 2023

“Media companies need frequent access to valid data to keep the public up-to-date with what’s going on.” Verivox had been providing its press partners with data stored on a Secure File Transfer Protocol (SFTP) server. But this server required maintenance, and the data pipeline needed to be managed by the team, taking up valuable time.

Telecommunication 52

Telecommunication Insurance Raw Data Media 52

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. In the early to mid 2010s, our client began to shift its focus towards their digital platform.

Consulting 52

Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. In the early to mid 2010s, our client began to shift its focus towards their digital platform.

Consulting 52

Consulting Systems NoSQL Raw Data 52

Data Engineering Podcast

DECEMBER 11, 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. constraints on data manipulation, security, privacy concerns, etc.) How does Unomi help with the new third party data restrictions ?

Data Warehouse 100

Data Warehouse Raw Data Data Lake BI 100

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. This is part of a series of articles about data quality.

Data Cleanse 52

Data Cleanse Data Validation Data Pipeline Datasets 52

Databand.ai

AUGUST 30, 2023

Data Processing and Transformation Data processing and transformation involve the manipulation and conversion of raw data into a format suitable for analysis, modeling, and visualization. This may involve the use of data pipelines, data integration platforms, or data processing frameworks.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

Factors Data Engineer Machine Learning Definition Data engineers create, maintain, and optimize data infrastructure for data. In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Your newly mimicked datasets are safe to share with developers, QA, data scientists—heck, even distributed teams around the world.

Data Management 100

Data Management Management MongoDB Scala 100

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. You’ll learn how to load, query, and process your data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

ETL Architecture on AWS: Examining the Scalable Architecture for Data Transformation ETL Architecture on AWS typically consists of three components - Source Data Store A Data Transformation Layer Target Data Store Source Data Store The source data store is where raw data is stored before being transformed and loaded into the target data store.

AWS 52

AWS Data Management ETL Tools Management 52

DataKitchen

OCTOBER 27, 2022

The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at various points in the process and measure. Have those thermometers check while your data and tools are running in production a few things, for example: Did the production process start?

Raw Data 52

Raw Data Data Pipeline Data Data Engineering 52

Data Engineering Weekly

FEBRUARY 26, 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. Identify and study the raw data. Sign up free to test out the tool today.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Hevo

APRIL 27, 2023

In today’s data-driven world, businesses collect and store vast amounts of data from various sources. However, raw data is often unstructured, inconsistent, and may not be immediately usable for analysis or decision-making. That’s where data transformation comes into play.

Process 52

Process Raw Data Data Data Process 52

Knowledge Hut

JANUARY 30, 2024

In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Ascend.io

FEBRUARY 23, 2024

This involves sophisticated data transformation capabilities, including ETL (extract, transform, load) processes, data cleaning, and normalization. Such features enable the transformation of raw data into a format that’s ready for AI and machine learning algorithms to analyze.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

The Modern Data Company

FEBRUARY 15, 2023

Animesh Kundera, co-founder and CTO of The Modern Data Company, distills these ideas down to “the four horsemen of data debt.”

Government 98

Government Data Governance Raw Data Data 98

Cloudera

DECEMBER 17, 2020

First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases. CDP enables a fully integrated and seamless ML lifecycle — from data pipelines to production and everything in between.

Machine Learning 79

Machine Learning Data Science Data Pipeline Raw Data 79

Data Engineering Podcast

MARCH 4, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.

Raw Data 100

Raw Data Machine Learning Data Pipeline Data 100

Data Engineering Podcast

JANUARY 14, 2017

Given that you can version your data and track all of the modifications made to it in a manner that allows for traversal of those changesets, how much additional storage is necessary over and above the original capacity needed for the raw data? What are some things that users should be aware of to help mitigate this?

Data Lake 100

Data Lake Raw Data Kafka Data Pipeline 100

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52