The Pragmatic Engineer

OCTOBER 17, 2024

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. Results are stored in git and their database, together with benchmarking metadata. Benchmarking results for each instance type are stored in sc-inspector-data repo, together with the benchmarking task hash and other metadata.  There

Cloud 273

Cloud AWS Metadata Cloud Computing 273

ThoughtSpot

OCTOBER 18, 2024

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.

Building 52

Building Process Pipeline-centric Database-centric 52

Precisely

APRIL 11, 2023

Let’s explore some of the questions you must ask as you begin the process, then dive into the solutions for common challenges you may face. Do I have access to the data? What do I need to do to access the data now and make it easy to find and access in the future? Where does that data live?

Accessible 52

Accessible Accessibility Metadata Data Integration 52

Cloudera

MARCH 2, 2023

It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. The CSP engine is powered by Apache Flink, which is the best-in-class processing engine for stateful streaming pipelines. Try it out yourself!

Process 112

Process SQL Kafka Database 112

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Missing data?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Netflix Tech

MARCH 10, 2021

ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. They are the one-stop-shop for cloud permissions and access. This happened for us at Netflix.

AWS 102

AWS Accessible Accessibility Cloud 102

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 82

Metadata BI Data Lake Business Intelligence 82

phData: Data Engineering

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. With many data modeling methodologies and processes available, choosing the right approach can be daunting. Efficiency through being able to streamline data storage and retrieval processes.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

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. Every developer who uses Apache Kafka ® has used a Kafka consumer at least once.

Kafka 111

Kafka Accessible Accessibility Metadata 111

ThoughtSpot

NOVEMBER 5, 2024

In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

Metadata 52

Metadata PostgreSQL Java Database 52

Precisely

OCTOBER 31, 2024

Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Real-time access.

Process 69

Process Data Lake Metadata Data Warehouse 69

Cloudera

NOVEMBER 15, 2024

The manual process of switching between tools slows down their work, often leaving them reliant on rudimentary methods of keeping track of their findings. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Metadata 83

Metadata Unstructured Data Data Lake Government 83

Netflix Tech

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. This abstraction simplifies data access, enhances the reliability of our infrastructure, and enables us to support the broad spectrum of use cases that Netflix demands with minimal developer effort.

Bytes 99

Bytes Metadata Database Data 99

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

phData: Data Engineering

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. These systems are built on open standards and offer immense analytical and transactional processing flexibility. Why should we use it? Why are They Essential?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Cloudera

NOVEMBER 15, 2024

The manual process of switching between tools slows down their work, often leaving them reliant on rudimentary methods of keeping track of their findings. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

Data Engineering Weekly

JUNE 16, 2024

Get Your Copy → Walmart: Reliably Processing Trillions of Kafka Messages Per Day Consumer rebalancing and Head-of-line (HOL) blocking are some of the most common challenges while operating Kafka at scale. Apply for early access and achieve effective data orchestration in under 10 minutes!

Data Engineering 104

Data Engineering Data Engineer Engineering Kafka 104

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 88

Metadata Healthcare Medical Data Storage 88

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. Tree Schema is a data catalog that is making metadata management accessible to everyone. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Snowflake

JUNE 11, 2024

Bringing machine learning (ML) models into production is often hindered by fragmented MLOps processes that are difficult to scale with the underlying data. The Snowflake Model Registry , in general availability, provides a centralized repository to manage all models and their related artifacts and metadata.

Management 92

Management Government Metadata Python 92

RandomTrees

SEPTEMBER 17, 2024

Understanding the Object Hierarchy in Metastore Identifying the Admin Roles in Unity Catalog Unveiling Data Lineage in Unity Catalog: Capture and Visualize Simplifying Data Access using Delta Sharing 1. Enhanced Data Security With its robust security model, Unity Catalog provides granular access control and compliance with industry standards.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Snowflake

NOVEMBER 12, 2024

Managing application state and metadata Use Hybrid Tables as the system of record for application configuration, user profiles, workflow state and other metadata that needs to be accessed with high concurrency. Customers such as Siemens and PowerSchool are leveraging Hybrid Tables to track state for a wide variety of use cases.

Food 73

Food Metadata Education AWS 73

Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

Management 96

Management Kafka Metadata Media 96

Snowflake

JULY 25, 2024

It supports “fuzzy” search — the service takes in natural language queries and returns the most relevant text results, along with associated metadata. The service automatically indexes and embeds your data in an incremental fashion, meaning it only processes changed rows from the underlying data source.

Unstructured Data 113

Unstructured Data Metadata Government SQL 113

Snowflake

JUNE 5, 2024

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 103

Government Accessible Accessibility Cloud 103

Engineering at Meta

MARCH 18, 2024

Users can query using regular expressions on log lines, arbitrary metadata fields attached to logs, and across log files of hosts and services. A process can emit multiple log streams ( stdout , stderr , and custom log files). Each log line can have zero or more metadata key-value pairs attached to it. in PyTorch).

Engineering 94

Engineering Metadata Architecture Designing 94

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Metadata 99

Metadata Data Pipeline Scala Data Workflow 99

phData: Data Engineering

NOVEMBER 1, 2024

It serves as a vital protective measure, ensuring proper data access while managing risks like data breaches and unauthorized use. Challenges and Considerations Balancing data access and protection is essential as GenAI tools require broad access while still adhering to governance policies. No problem!

Government 52

Government Data Governance Finance Metadata 52

Ascend.io

JULY 23, 2024

Initially, data teams focused their effort on scaling storage and processing capabilities. Companies like Snowflake and Databricks have made substantial strides in this area, enabling teams to store and process vast amounts of data with relative ease. This sobering statistic has haunted well-intentioned data teams for years.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. One of the core complexities that needs to be addressed is the fractal set of integrations that need to be managed across the individual components.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Precisely

MAY 13, 2024

With these factors and more in mind, starting the process can feel overwhelming – but not to worry. Whether you’re bringing a new system online or connecting an existing database with your analytics platform, the process should be simple and straightforward. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Tweag

APRIL 19, 2023

The MedTech industry is buzzing thanks to a continuous stream of innovation, promising to be more precise, efficient and accessible than ever. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. But as it turns out, we can’t use it. _slides_specs. width , spec.

Medical 60

Medical Process Cloud Bytes 60

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 94

Metadata Python AWS Government 94

Snowflake

JUNE 21, 2024

Zero Ingest with Zero Silos : Iceberg data already managed in a data lake can be accessed directly by Snowflake via an Iceberg catalog integration. You can quickly and easily access Iceberg data in Snowflake without the additional latency that comes with ingesting or copying data.

Data Lake 116

Data Lake BI Business Intelligence Metadata 116

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52