Start Data Engineering

NOVEMBER 8, 2020

Introduction If you are looking for a simple, cheap data pipeline to pull small amounts of data from a stable API and store it in a cloud storage, then serverless functions are a good choice.

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AWS Cloud Storage Data Pipeline Data 130

Christophe Blefari

SEPTEMBER 28, 2023

That's why big data technologies got swooshed by the modern data stack when it arrived on the market—excepting Spark. We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. Following an E(T)LT approach.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Cloudera

JUNE 5, 2023

On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. The contest challenged developers to build data pipelines that represent their business use cases using Cloudera DataFlow. On the verge of the release of NiFi 2.0, Congratulations Vince!

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Google Cloud Cloud Storage Data Lake Data Pipeline 75

Monte Carlo

JULY 19, 2023

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 96

Building Business Intelligence Cloud Storage BI 96

Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? and parallel data processing. What is it? ML model training using Airflow.

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Data Engineering Data Engineer Engineering BI 83

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Ascend.io

JUNE 22, 2023

Data-driven organizations are increasingly looking for ways to enable both centralized and distributed teams to build, share and collaborate on analytical data products. Ascend is thrilled to announce the availability of our newest feature: the ability to deliver data directly to the MotherDuck analytics platform!

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NoSQL Google Cloud MySQL Data Pipeline 52

Monte Carlo

JANUARY 27, 2024

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 52

Building Business Intelligence Cloud Storage BI 52

Data Engineering Weekly

DECEMBER 3, 2023

[link] Netflix: Streamlining Membership Data Engineering at Netflix with Psyberg A seamless lookback, aka reconciliation pipeline support, is a must-have for your data infrastructure to support data pipelines. Netflix writes about its membership data pipeline and how it supports the lookback approach.

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Data Engineering Data Engineer Engineering Bytes 70

Knowledge Hut

MARCH 21, 2024

It offers a real-time database called Cloud Firestore and handles user authentication and management. It provides scalable and secure cloud storage, secure web hosting, and insights into user behavior. Factor AWS Firebase Company Amazon Google Type Cloud service provider App development platform Compute EC2, Lambda, etc.

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AWS Cloud Storage NoSQL Cloud Computing 52

ProjectPro

FEBRUARY 6, 2023

You will download the Yelp dataset in JSON format for this project, connect it to the Cloud SDK by connecting to the Cloud storage, which is then connected to the Cloud Composer, and publish the Yelp dataset JSON stream to a PubSub topic. For this project, you will require the COVID-19 Cases.csv dataset from data.world.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 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

MARCH 20, 2023

Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud. Maybe you’ve used another tool to load data, or the data is the result of an application running natively in that data cloud.

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Management AWS Cloud Storage Data Pipeline 52

Ascend.io

MARCH 20, 2023

Start Your Pipeline with Pre-Loaded Data Sometimes, your data pipeline starts with data that is already located in a table in your data cloud. Maybe you’ve used another tool to load data, or the data is the result of an application running natively in that data cloud.

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Management AWS Cloud Storage Data Pipeline 52

Cloudera

DECEMBER 21, 2021

In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines. We wanted to develop a service tailored to the data engineering practitioner built on top of a true enterprise hybrid data service platform.

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Data Engineering Data Engineer Engineering Data Pipeline 117

Cloudera

MARCH 31, 2021

The combination of these capabilities will allow customers to easily migrate existing data pipelines to GCP or quickly set up new ones that can ingest from a number of existing or new data sources. Google Cloud Storage buckets – in the same subregion as your subnets .

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Google Cloud Cloud Amazon Web Services Cloud Storage 92

Ascend.io

FEBRUARY 23, 2024

If your core data systems are still running in a private data center or pushed to VMs in the cloud, you have some work to do. To take advantage of cloud-native services, some of your data must be replicated, copied, or otherwise made available to native cloud storage and databases.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

Towards Data Science

JULY 21, 2023

Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Let’s dive into it. The content, not the bean dip.

Building 80

Building Business Intelligence BI Cloud Storage 80

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. Let’s take a closer look. Enterprises have an opportunity to undergo a metamorphosis.

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Data Lake ETL Tools Data Warehouse Data Pipeline 52

Ascend.io

JUNE 6, 2023

In this blog post, we delve deep into the factors that contribute to how Ascend runs in the cloud, focusing on the primary areas that contribute to costs in this context: storage, compute, networking, and retries. But if reading is not your thing, dive right into the fascinating details of how we master cloud costs in the video below.

Cloud 52

Cloud Data Pipeline Data Ingestion Cloud Storage 52

Knowledge Hut

NOVEMBER 16, 2023

The AWS services cheat sheet will provide you with the basics of Amazon Web Service, like the type of cloud, services, tools, commands, etc. Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing.

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AWS Amazon Web Services Cloud Computing Cloud Storage 52

Snowflake

APRIL 19, 2023

Snowpipe Streaming is our latest data ingestion method offering high-throughput, low-latency streaming data ingestion at a low cost. Rows are streamed from data sources directly into Snowflake tables, allowing for faster, more efficient data pipelines.

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Data Ingestion Kafka Java Data Pipeline 57

Knowledge Hut

JUNE 26, 2023

From exploratory data analysis (EDA) and data cleansing to data modeling and visualization, the greatest data engineering projects demonstrate the whole data process from start to finish. Data pipeline best practices should be shown in these initiatives. Source Code: Yelp Review Analysis 2.

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Data Engineering Data Engineer Coding Project 98

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Ascend.io

MAY 18, 2023

The growing complexity drove a proliferation of software and data innovations, which in turn demanded highly trained data engineers to build code-based data pipelines that ensured data quality, consistency, and stability. So what is the modern data stack, and why is it so popular?

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Data Warehouse Data Pipeline Data Lake Data Engineering 52

Monte Carlo

FEBRUARY 20, 2024

Fivetran is the leader in the data ingestion space, known for its ease of use and extensive connector ecosystem. Integrations : They offer a wide array of connectors for databases, SaaS applications, cloud storage solutions, and more, covering both popular and niche data sources.

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Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

NOVEMBER 16, 2023

Although the cloud providers ensure for highest level of safety for the data, it still faces a potential risk. As per the reports, Microsoft AI Research division accidentally leaked 38 terabytes of private data via unsecured cloud storage.

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Data Science Technology Programming Language Cloud Computing 52

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. The data objects are accessible only through SQL query operations run using Snowflake.

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Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Meltano

OCTOBER 5, 2022

A data engineer must figure out how the data will be structured, test data pipelines, and keep an eye on the entire data management process. However, to do their jobs well, data engineers require proper tools and solutions to facilitate the extraction of data from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Data engineering tools can help automate many of these processes, allowing data engineers to focus on higher-level tasks like extracting insights and building data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Monte Carlo

OCTOBER 5, 2023

Aligning with stakeholders: SLAs, SLIs, and SLOs Many organizations adopt an approach to setting data quality standards that will be familiar to stakeholders: SLAs (service-level agreements), SLIs (service-level indicators), and SLOs (service-level objectives). This helps drastically improve time-to-detection.

Government 52

Government Data Governance Data Datasets 52

Monte Carlo

NOVEMBER 14, 2023

This is the world that data orchestration tools aim to create. Data orchestration tools minimize manual intervention by automating the movement of data within data pipelines. Google Cloud Composer And finally, if you’re in the Google Cloud ecosystem, you might be drawn to Cloud Composer.

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Pipeline-centric Google Cloud Data Workflow Python 40

Edureka

FEBRUARY 9, 2023

A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka. Because companies are increasingly replacing physical servers with cloud services, data engineers must understand cloud storage and cloud computing. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Rockset

MAY 17, 2021

Taking it a step further, the automated placement of cold data in cheaper cloud storage, while serving fast analytics off hot data in SSDs, can make real-time analytics even more affordable. Another option is to use more intelligent approaches to data retrieval that tax infrastructure less.

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Cloud Storage Cloud Architecture Data Pipeline 40

ProjectPro

JANUARY 24, 2023

BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats. BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

NOVEMBER 30, 2021

This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. The crux of all data-driven solutions or business decision-making lies in how well the respective businesses collect, transform, and store data.

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