DataKitchen

NOVEMBER 5, 2024

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data.

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Snowflake

MARCH 2, 2023

But before data can be transformed and served or shared, it must be ingested from source systems. Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency. Why Snowpipe Streaming?

Kafka 136

Kafka Data Ingestion Data Pipeline Cloud Storage 136

Scott Logic

APRIL 10, 2024

Further research We struggled to find more official information about how object storage is implemented and measured, so we decided to look at an object storage system that could be deployed locally called MinIO. This was something that the Cloud Carbon Footprint methodology already takes into account.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

DataKitchen

DECEMBER 9, 2024

They opted for Snowflake, a cloud-native data platform ideal for SQL-based analysis. The team landed the data in a Data Lake implemented with cloud storage buckets and then loaded into Snowflake, enabling fast access and smooth integrations with analytical tools. AWS Redshift, GCP Big Query, or Azure Synapse work well, too.

Pharmaceutical 64

Pharmaceutical Data Lake Cloud Storage Project 64

Christophe Blefari

SEPTEMBER 28, 2023

We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. When you are a data engineer you're getting paid to build systems that people can rely on. But there was a big problem: it was hard to manage. Something boring.

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Monte Carlo

NOVEMBER 22, 2024

Object storage solutions like Amazon S3 or Google Cloud Storage are perfect for this. This layer is also crucial for AI systems using Retrieval-Augmented Generation (RAG), where processed data serves as a knowledge base for large language models to generate more accurate, contextualized responses.

Data Engineering 52

Data Engineering Data Engineer Building Engineering 52

Knowledge Hut

NOVEMBER 16, 2023

While cloud computing is pushing the boundaries of science and innovation into a new realm, it is also laying the foundation for a new wave of business start ups. 5 Reasons Your Startup Should Switch To Cloud Storage Immediately 1) Cost-effective Probably the strongest argument in cloud’s favor I is the cost-effectiveness that it offers.

Cloud Computing 98

Cloud Computing Cloud Cloud Storage AWS 98

Start Data Engineering

MARCH 27, 2021

Event driven pipelines Lambda function to trigger spark jobs Setup and run Monitoring and logging Teardown Conclusion Further reading References Event driven pipelines Event driven systems represent a software design pattern where a logic is executed in response to an event.

AWS 100

AWS Cloud Storage Database Cloud 100

Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. What features does AWS Elastic File System offer? What is Amazon EFS? Key features include: 1.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

Netflix Tech

SEPTEMBER 24, 2021

After the inspection stage, we leverage the cloud scaling functionality to slice the video into chunks for the encoding to expedite this computationally intensive process (more details in High Quality Video Encoding at Scale ) with parallel chunk encoding in multiple cloud instances. For write operations, those challenges do not apply.

Cloud 96

Cloud Bytes Cloud Storage Media 96

Data Engineering Podcast

JUNE 12, 2022

What are the types of storage and data systems that you integrate with? How do the trends in cloud storage and data systems influence the ways that you evolve the system? What are the types of storage and data systems that you integrate with?

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Its existing data warehousing service is a 40-node system and is quite static.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Striim

MARCH 21, 2025

Stream processing: data is continuously collected and processed and dispersed to downstream systems. This includes the use of intermediate topics on a persistent messaging system such as Kafka. Your electric consumption is collected during a month and then processed and billed at the end of that period.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Monte Carlo

JANUARY 31, 2025

If youre done with quick fixes that dont hold up, its time to build a system using data validation techniques that actually workone that stops issues before they spiral. A last-minute schema check isnt proactiveits just more noise in an already chaotic system.

Data Validation 52

Data Validation Cloud Storage Raw Data Data 52

RandomTrees

NOVEMBER 13, 2024

However, AI-assisted editing tools are transforming the systems that are capable of eliminating tough jobs from the editing process. AI systems can automate the bulk of this operation and produce complex and realistic animations, effects, and scenes in comparatively less time.

Entertainment 52

Entertainment Media Cloud Cloud Computing 52

Rockset

MARCH 1, 2023

Some of the systems make data immutable, once ingested, to get around this issue – but real world data streams such as CDC streams have inserts, updates and deletes and not just inserts. Whether these are Elasticsearch’s data nodes or Apache Druid’s data servers or Apache Pinot’s real-time servers, the story is pretty much the same.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

Data Engineering Podcast

SEPTEMBER 22, 2019

Your host is Tobias Macey and today I’m interviewing Anand Babu Periasamy about MinIO, the neutral, open source, enterprise grade object storage system. What benefits does object storage provide as compared to distributed file systems? Can you describe how MinIO is implemented and the overall system design?

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Cloudera

JUNE 5, 2023

Cybersecurity is a common domain for DataFlow deployments due to the need for timely access to data across systems, tools, and protocols. RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Congratulations Vince! Runner up Ramakrishna Sanikommu was our runner up.

Google Cloud 77

Google Cloud Cloud Storage Data Lake Data Pipeline 77

Knowledge Hut

OCTOBER 27, 2023

Android Local Train Ticketing System Developing an Android Local Train Ticketing System with Java, Android Studio, and SQLite. Developing a local train ticketing system for Android can be a challenging yet rewarding project idea for Software developer.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Snowflake

JUNE 20, 2024

Designed for processing large data sets, Spark has been a popular solution, yet it is one that can be challenging to manage, especially for users who are new to big data processing or distributed systems. Batch Processing Pipelines : Large volumes of data can be processed on schedule using the tool.

Data Engineering 110

Data Engineering Data Engineer Scala Engineering 110

Snowflake

OCTOBER 15, 2024

Deliver the most relevant results Cortex Search is a fully managed service that includes integrated embedding generation and vector management, making it a critical component of enterprise-grade RAG systems. The size of each chunk directly impacts how well the system retrieves data. Striking the right balance is essential.

SQL 95

SQL Data Preparation Electronics Python 95

Cloudera

SEPTEMBER 23, 2022

Should system resources such as CPU or system memory become constrained, this ops team is responsible to correct. Hardware (compute and storage) : As with PaaS data lakehouses, the CDP One data lakehouse resides in the cloud and uses virtualized compute. To the user, it is a serverless experience.

Data Governance 109

Data Governance Government Amazon Web Services Cloud Computing 109

Knowledge Hut

JULY 2, 2024

However, the hybrid cloud is not going away anytime soon. In fact, the hybrid cloud will likely become even more common as businesses move more of their workloads to the cloud. So what will be the future of cloud storage and security? As a result, Cloud technology will soon necessitate advanced system thinking.

Cloud Computing 98

Cloud Computing Cloud Healthcare Education 98

Towards Data Science

MARCH 5, 2024

BigQuery separates storage and compute with Google’s Jupiter network in-between to utilize 1 Petabit/sec of total bisection bandwidth. The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms. Complete integration testing.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Cloudera

SEPTEMBER 28, 2021

The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Conclusion.

Accessibility 62

Accessibility Accessible Cloud Cloud Storage 62

Tweag

OCTOBER 16, 2024

We recently completed a project with IMAX, where we learned that they had developed a way to simplify and optimize the process of integrating Google Cloud Storage (GCS) with Bazel. rules_gcs is a Bazel ruleset that facilitates the downloading of files from Google Cloud Storage. What is rules_gcs ?

Google Cloud 67

Google Cloud Cloud Storage Accessible Accessibility 67

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

Cloudera

FEBRUARY 14, 2019

But working with cloud storage has often been a compromise. Enterprises started moving to the cloud expecting infinite scalability and simultaneous cost savings, but the reality has often turned out to be more nuanced. The introduction of ADLS Gen1 was exciting because it was cloud storage that behaved like HDFS.

Data Lake 60

Data Lake Hadoop Cloud Storage Cloud 60

Knowledge Hut

DECEMBER 26, 2023

Look for AWS Cloud Practitioner Essentials Training online to learn the fundamentals of AWS Cloud Computing and become an expert in handling the AWS Cloud platform. Chef Chef is used to configure virtual systems and automate manual work in Cloud environments. and more 2.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Towards Data Science

DECEMBER 15, 2023

The Security Angle If we take the security-forward perspective, on the other hand, we have to admit that the larger the quantities of data we have — particularly if there are multiple systems of storage or processes influencing the data — the larger the risk of data breach. This isn’t sustainable, though — not forever anyway.

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

Knowledge Hut

APRIL 30, 2024

We store photos and personal information on our computers and in the cloud. Cybersecurity is the practice of protecting computer systems and networks from unauthorized access or attack. Cybersecurity helps to protect our data and systems from these threats. Some of the most common cyberattacks include: 1.

Banking 98

Banking SQL Cloud Hospitality 98

Netflix Tech

FEBRUARY 9, 2022

see “data pipeline” Intro The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Manually constructed continuous delivery system.

Data Pipeline 84

Data Pipeline Management Scala Python 84

Cloudera

JULY 15, 2019

You can use SELECT statements to query data of all sizes across numerous different systems. This course teaches general skills that apply to all of these systems, but the emphasis is on distributed SQL engines like Hive and Impala that can query extremely large datasets.

Education 59

Education Big Data Data Analysis SQL 59

Cloudera

FEBRUARY 9, 2021

In terms of data analysis, as soon as the front-end visualization or BI tool starts accessing the data, the CDW Hive virtual warehouse will spin up cloud computing resources to combine the persisted historical data from the cloud storage with the latest incremental data from Kafka into a transparent real-time view for the users.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

Netflix Tech

MAY 5, 2021

Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. 2 , are the file system interface, the API interface, and the metadata and data stores.

Metadata 72

Metadata Bytes Media Cloud Storage 72