Knowledge Hut

APRIL 23, 2024

It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. The key characteristics of big data are commonly described as the three V's: volume (large datasets), velocity (high-speed data ingestion), and variety (data in different formats).

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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. I'll use Python and Spark because they are the top 2 requested skills in Toronto.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Knowledge Hut

NOVEMBER 2, 2023

These Azure data engineer projects provide a wonderful opportunity to enhance your data engineering skills, whether you are a beginner, an intermediate-level engineer, or an advanced practitioner. Who is Azure Data Engineer? Azure SQL Database, Azure Data Lake Storage). Azure SQL Database, Azure Data Lake Storage).

Data Engineering 52

Data Engineering Data Engineer Project Coding 52

Data Engineering Weekly

MAY 16, 2023

Architectural Patterns for Data Quality Now we understand the trade-off between speed & correctness and the difference between data testing and observability. Let’s talk about the data processing types. In the 'Write' stage, we capture the computed data in a log or a staging area.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. Striim’s integration with Snowpipe Streaming represents a significant advancement in real-time data ingestion into Snowflake.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

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

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

APRIL 23, 2024

Early Challenges and Limitations in Data Handling The history of data management in big data can be traced back to manual data processing—the earliest form of data processing, which makes data handling quite painful.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Christophe Blefari

JANUARY 20, 2024

He wrote some years ago 3 articles defining data engineering field. Some concepts When doing data engineering you can touch a lot of different concepts. The main difference between both is the fact that your computation resides in your warehouse with SQL rather than outside with a programming language loading data in memory.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

DataKitchen

OCTOBER 20, 2023

The Challenge: High Stakes in the Age of Personalized Data Observability The primary challenge stems from the requirement of Data Consumers for personalized monitoring and alerts based on their unique data processing needs. Data Observability platforms often need to deliver this level of customization.

Insurance 70

Insurance Pharmaceutical Data Data Ingestion 70

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster.

Retail 73

Retail Healthcare Data Ingestion Consulting 73

Ascend.io

OCTOBER 4, 2023

It empowers them to tap into the familiar terrain of languages like Scala, Java, and Python, but with the unique advantage of not having to move data out of Snowflake. Together, they redefine data processing by offering enhanced automation, scalability, and a drastically simplified workflow.

Scala 52

Scala Data Ingestion Python Java 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

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

ProjectPro

FEBRUARY 6, 2023

Pub/Sub Use Cases Here are a few Google Cloud Pub/Sub use cases that will help you understand how to leverage this messaging service- Stream Processing Using Google Pub/Sub as input and output for stream processing systems such Spark, Flink, or Beam can be helpful for real-time data processing and analysis.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudera

AUGUST 26, 2021

While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 107

Data Science Cloud Hadoop Metadata 107

Pinterest Engineering

SEPTEMBER 12, 2023

Since it takes so long to iterate on workflows, some ML engineers started to perform data processing directly inside training jobs. This is what we commonly refer to as Last Mile Data Processing. Last Mile processing can boost ML engineers’ velocity as they can write code in Python, directly using PyTorch.

Data Process 87

Data Process Process Datasets Scala 87

Knowledge Hut

MARCH 19, 2024

Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks. It makes real-time streaming data collection, processing, and analytics possible for timely insight and decision-making for businesses. Conclusion AWS has released over two hundred production-level services.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Ascend.io

JANUARY 2, 2024

The sources of data can be incredibly diverse, ranging from data warehouses, relational databases, and web analytics to CRM platforms, social media tools, and IoT device sensors. Regardless of the source, data ingestion, which usually occurs in batches or as streams, is the critical first step in any data pipeline.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion?

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

Databand.ai

JULY 17, 2023

MLOps: Key Similarities and Differences Similarities between DataOps and MLOps Focus on collaboration: Both methodologies emphasize the importance of cross-functional teams working together to improve data processes, including data scientists, engineers, analysts, and business stakeholders.

Data Pipeline 52

Data Pipeline Machine Learning High Quality Data BI 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

Data Engineering Weekly

JUNE 4, 2023

link] Uber: Spark Analysers: Catching Anti-Patterns In Spark Apps One of the challenges in commoditizing data processing engines like Spark is that it requires an expert user to understand and operate this system. Many of the real-world data, all the way from medical images to astro monitoring, are unstructured data.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Booking.com Engineering

DECEMBER 2, 2022

From data ingestion, data science, to our ad bidding[2], GCP is an accelerant in our development cycle, sometimes reducing time-to-market from months to weeks. Data Ingestion and Analytics at Scale Ingestion of performance data, whether generated by a search provider or internally, is a key input for our algorithms.

Systems 52

Systems Cloud MySQL Relational Database 52

Ascend.io

AUGUST 24, 2023

Read More: Introducing Data Products to Deliver Better Value from Data Data Ingestion : The start of the data pipeline involves validating data sources in the data ingestion step — ensuring that they’re consistent and reliable. Decision-makers need fast, actionable data to stay ahead.

Engineering 52

Engineering Data Pipeline Data Ingestion Data 52

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 81

Data Process Process Raw Data Data 81

Towards Data Science

MAY 3, 2023

One such tool is the Versatile Data Kit (VDK), which offers a comprehensive solution for controlling your data versioning needs. VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python.

Data Lake 89

Data Lake Data SQL Data Warehouse 89

Knowledge Hut

APRIL 23, 2024

Gathering data at high velocities necessitates capturing and ingesting data streams as they occur, ensuring timely acquisition and availability for analysis. Utilizing is related to the data processing and analyzing speed for gleaning useful insights. Ensure Data Veracity: Prioritize data quality and reliability.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Databand.ai

AUGUST 30, 2023

Automation plays a critical role in the DataOps framework, as it enables organizations to streamline their data management and analytics processes and reduce the potential for human error. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

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 7, 2021

It calls out that Cloudera DataFlow “ includes streaming flow and streaming data processing unified with Cloudera Data Platform ”.

Kafka 100

Kafka Data Ingestion Architecture Cloud 100

Data Engineering Podcast

OCTOBER 12, 2020

Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms.

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

ProjectPro

FEBRUARY 21, 2023

GCP Data Engineer Certification The Google Cloud Certified Professional Data Engineer certification is ideal for data professionals whose jobs generally involve data governance, data handling, data processing, and performing a lot of feature engineering on data to prepare it for modeling.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

Precisely

SEPTEMBER 11, 2023

At Precisely, we’re dedicated to delivering capabilities that enable organizations to accelerate time-consuming and labor-intensive data processes. We’ve devised a strategy to enhance existing capabilities and introduce new intelligent features to our products, including the Precisely Data Integrity Suite.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52