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 113

Data Science Cloud Hadoop Metadata 113

Snowflake

NOVEMBER 11, 2024

This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution. SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Netflix Tech

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?

Building 90

Building Metadata Transportation Data Ingestion 90

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB MySQL 100

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. Alation, Collibra) to some niche ones Allows easy ingestion of metadata (such as genomics metadata in Fig.

Metadata 100

Metadata Healthcare Medical Data Storage 100

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Maxime Beauchemin

JANUARY 20, 2017

In relation to previously existing roles , the data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. Those systems have been taught to normalize the data for storage on their own.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Confluent

MAY 7, 2019

Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Data processing requirements. We therefore need a way of splitting up the data ingestion work.

Kafka 111

Kafka Accessible Accessibility Metadata 111

Snowflake

FEBRUARY 13, 2024

Snowpark Updates Model management with the Snowpark Model Registry – public preview Snowpark Model Registry is an integrated solution to register, manage and use models and their metadata natively in Snowflake. Learn more here. Learn more here. The pipe can only be set to this state by Snowflake Support.

Data Ingestion 105

Data Ingestion AWS Python Metadata 105

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. Winner of the Data Impact Awards 2021: Security & Governance Leadership. You can become a data hero too.

Government 91

Government Data Security Banking Metadata 91

Cloudera

SEPTEMBER 28, 2020

This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Data Science and machine learning workloads using CDSW. The customer is a heavy user of Kafka for data ingestion. Gather information on the current deployment.

Cloud 132

Cloud Kafka Professional Services Metadata 132

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

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. Collects and aggregates metadata from components and present cluster state. Metadata in cluster is disjoint across components. Data Generation at Scale.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Netflix Tech

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

Building 95

Building Transportation Java Metadata 95

Snowflake

JUNE 4, 2024

Governed internal collaboration with better discoverability and AI-powered object metadata Snowflake is introducing an entirely new way for data teams to easily discover, curate and share data, apps and now also models (private preview soon). Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 100

Government Data Ingestion Data PostgreSQL 100

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Netflix Tech

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. Use cases We found several use cases where a system like AutoOptimize can bring tons of value. We can also reorganize the metadata to make file scanning much faster.

Data Warehouse 84

Data Warehouse Metadata Algorithm Data 84

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

Data Engineering Podcast

AUGUST 6, 2022

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For analytical systems there are decades of investment in data warehouses and various modeling techniques. What are the primary system requirements that have influenced the design choices? In fact, while only 3.5%

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 97

Media Database Metadata Data Schemas 97

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Christophe Blefari

JANUARY 20, 2024

What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Still, we can have a common ground when mixing software engineering, DevOps principles, Cloud — or on-prem — systems understanding and data literacy. Is it really modern?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

ProjectPro

FEBRUARY 8, 2023

When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog. being data exactly matches the classifier, and 0.0 Why Use AWS Glue?

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

DECEMBER 1, 2023

Now you can easily retrieve it from your account by leveraging “data movement platforms” like Fivetran. This tool automates ELT (Extract, Load, Transform) process, integrating your data from the source system of Google Calendar to our Snowflake data warehouse. As of now, Fivetran offers 14-day free trial —  link.

Data Engineer 97

Data Engineer Data Engineering Project Engineering 97

Cloudera

FEBRUARY 8, 2021

ECC will enrich the data collected and will make it available to be used in analysis and model creation later in the data lifecycle. Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig.

Data Pipeline 118

Data Pipeline Building Manufacturing Data Warehouse 118

Data Engineering Weekly

MARCH 24, 2024

The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems. The logging engine to debug AI workflow logs is an excellent system design study if you’re interested in it. The extracted key-value pairs are written to the line’s metadata.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Databand.ai

JUNE 28, 2023

“Observability” has become a bit of a buzzword so it’s probably best to define it: Data observability is the blanket term for monitoring and improving the health of data within applications and systems like data pipelines. Data observability vs. monitoring: what is the difference?

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudyard

MARCH 4, 2023

DCDW Architecture Above all, Architecture was divided into three Business layers: Firstly,Agile Data ingestion : Heterogeneous Source System fed the data into Cloud. Respective Cloud would consume/Store the data in bucket or containers. Load the data AS-IS into Snowflake called RAW layer.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

Monte Carlo

APRIL 4, 2023

The modern data stack consists of multiple interdependent data systems all working together. Data anomalies and incidents can be introduced across any point of this pipeline, which can make root cause analysis a fragmented and frustrating multi-tab process. Was it a query changed within Snowflake? A modified dbt model?

BI 64

BI Data Ingestion Data Pipeline Metadata 64

Precisely

MAY 13, 2024

Are these sources a match for all my batch data ingest and change data capture (CDC) needs? #2. Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. A notable capability that achieves this is the data catalog.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

DataKitchen

OCTOBER 20, 2023

By offering real-time tracking mechanisms and sending targeted alerts to specific consumers, a Payload DJ can immediately notify them of any changes, delays, or issues affecting their data. This transparent system effectively answers real-time data location and status questions, thus enhancing customer trust and satisfaction.

Insurance 67

Insurance Pharmaceutical Data Data Ingestion 67

Rockset

AUGUST 28, 2023

Query across your ANN indexes on vector embeddings, and your JSON and geospatial “metadata” fields efficiently. Spin a Virtual Instance for streaming data ingestion. As AI models become more advanced, LLMs and generative AI apps are liberating information that is typically locked up in unstructured data.

Metadata 78

Metadata Unstructured Data SQL Database 78

Towards Data Science

MARCH 5, 2024

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. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

LinkedIn Engineering

JULY 27, 2023

Costwiz application and workflow management system For the initial rollout, we built a single-page app for users to perform actions on their recommendations (as seen in Figure 1). Data providers: The core input data for which the workflows should be executed and other supporting data required are fed to the system by data providers.

Metadata 75

Metadata Utilities Cloud Database 75

LinkedIn Engineering

DECEMBER 12, 2023

Although we can prescribe a way to achieve an overall privacy guarantee with differential privacy with various algorithms, there is still the challenge of integrating differential privacy into an existing system that can return analytics for streaming data in real-time under intense query loads.

Algorithm 77

Algorithm Metadata SQL Data Ingestion 77