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

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

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

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 97

Metadata Data Pipeline Scala Data Workflow 97

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 94

Management Kafka Metadata Media 94

Towards Data Science

MAY 7, 2024

meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares. This will help create an overall picture of logging, metadata, latency, CDC, and all the other things that come with a pipeline. Gather the team together and determine what these things are.

ETL Tools 84

ETL Tools Metadata Data Integration Data Science 84

Data Engineering Podcast

FEBRUARY 19, 2023

Your host is Tobias Macey and today I'm interviewing Ryan Blue about the evolution and applications of the Iceberg table format and how he is making it more accessible at Tabular Interview Introduction How did you get involved in the area of data management? How does that change based on the type of query/processing engine being used?

IT 147

IT Data Lake Metadata Data Warehouse 147

Snowflake

APRIL 29, 2024

Recover: establish processes for rapid recovery after incidents to ensure business continuity. This translates to several key requirements and their associated benefits: More stringent technical and process-oriented security measures, enhancing protection for both FEs and their ICT third-party providers. Five Core Pillars of DORA 1.

Transportation 84

Transportation Data Governance Government Consulting 84

Towards Data Science

FEBRUARY 6, 2024

ERP and CRM systems are designed and built to fulfil a broad range of business processes and functions. The disconnection between the operational teams immersed in the day-to-day functions and those extracting business value from data generated in the operational processes still remains a significant friction point.

Systems 83

Systems Raw Data Metadata Data Cleanse 83

The Modern Data Company

APRIL 15, 2024

Its job, from its position near the end of the data processing line, is similar to that of a librarian who: Answers queries from various departments looking for specific insights. Manages information about data access and monitors data quality. Helps in organizing new data (like new books) in the right place.

Government 52

Government Metadata Data Data Lake 52

Knowledge Hut

MARCH 7, 2024

Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. The greatest data processing challenge of 2024 is the lack of qualified data scientists with the skill set and expertise to handle this gigantic volume of data.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Data Engineering Weekly

MARCH 24, 2024

As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service. The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

In this article, we’ll peel back the 5 layers that make up data lakehouse architecture: data ingestion, data storage, metadata, API, and data consumption, understand the expanded opportunities a data lakehouse opens up for generative AI, and how to maintain data quality throughout the pipeline with data observability. Metadata layer 4.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

ThoughtSpot

MAY 31, 2023

Looking more broadly, we’ll also describe the security process we follow during any application iteration or enhancement, so you can see the great lengths we take to keep your data secure. This multi-tenant service isolates the tenant metadata index, authorizing and filtering the search answer requests from every tenant.

Data Security 86

Data Security Metadata Transportation Data Warehouse 86

François Nguyen

MARCH 22, 2021

We want interoperability for any data stored versus we have to think how to store the data in a specific node to optimize the processing. and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). What you have to code is this workflow !

Architecture 130

Architecture Technology Google Cloud Metadata 130

Data Engineering Podcast

AUGUST 6, 2022

In this episode Paolo Platter shares the lessons they have learned in that process, the Data Mesh Boost platform that they have built to reduce some of the boilerplate required to make it successful, and some of the considerations to make when deciding if a data mesh is the right choice for you.

Metadata 100

Metadata MongoDB MySQL Business Intelligence 100

François Nguyen

JANUARY 18, 2021

In every step,we do not just read, transform and write data, we are also doing that with the metadata. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.) Who has an access to this Data ? Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Precisely

JUNE 6, 2023

Tendü Yogurtçu offered that organizations today are viewing data as a product, and they are working to streamline access to both data and metadata for faster insights that help business users deliver tangible value. Today’s enterprises are processing more data sources, at a higher volume and velocity than ever before.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Ascend.io

FEBRUARY 28, 2024

Engineers ensure the availability of clean, structured data, a necessity for AI systems to learn from patterns, make accurate predictions, and automate decision-making processes. Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Edureka

MAY 6, 2024

It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. This old process was slow and could lead to mistakes. For some, MLOPS might be a completely new topic, but there are no worries.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Netflix Tech

JUNE 1, 2023

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. It also included metadata about ads, such as ad placement and impression-tracking events. The Mantis query language allowed us to set the percentage of replay traffic to process.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Rockset

APRIL 18, 2023

The process of manually tagging documents requires a host of steps like creating taxonomies, understanding search patterns, analyzing input documents, and maintaining custom rule sets. Vector search has seen an explosion in popularity due to improvements in accuracy and broadened accessibility to the models used to generate embeddings.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Knowledge Hut

APRIL 4, 2024

You can think of a cookbook as a collection of all the recipes, files, characteristics, and metadata you'll need to implement a specific scenario. Metadata A small bit of metadata is required for every cookbook. It's a program that helps automate the process of turning physical structures into computer programs.

Architecture 52

Architecture Amazon Web Services Metadata AWS 52

Monte Carlo

MAY 18, 2023

You may even already have access to one of them. Data lineage tools help you uncover and map the complex relationships between data elements across various sources, systems, and processes. No-code Editor : It’s possible to augment the lineage captured from machine metadata with a drag and drop no-code editor.

Metadata 64

Metadata Data Lake Government Data Governance 64

Precisely

MAY 31, 2023

In the same way that big cloud-platform providers offer simplified access to infrastructure, and data cloud providers like Databricks and Snowflake have vastly simplified access to data and analytics, modern data integrity tools must streamline and automate data integrity processes.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Data Engineering Weekly

DECEMBER 29, 2022

Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise. The modern(?)

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Confluent

FEBRUARY 21, 2019

By taking data from a tool such as Sysmon and streaming it into Kafka for processing in KSQL, you can rapidly detect suspicious behavior by looking for a process spawning a new process that makes an external network connection. This is because the Create method allows a user to create a process either locally or remotely.

Process 81

Process Kafka Datasets SQL 81

Cloudera

AUGUST 10, 2021

We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. . Impala Row Filtering to set access policies for rows when reading from a table. Figure 1: sales group SELECT access.

Cloud 96

Cloud Kafka Metadata SQL 96

LinkedIn Engineering

DECEMBER 19, 2023

These clusters are the backbone for storing and processing extensive data volumes, empowering us to deliver essential features and services to members, such as personalized recommendations, enhanced search functionality, and valuable insights. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Schema : Did the data structure change in ways that will break downstream processes? Volume : Are there too many rows?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. Afterall, retrofitting good governance is a momentous task.

Data Governance 98

Data Governance Government Metadata Medical 98

Data Engineering Weekly

JUNE 29, 2023

The quest to simplify data access is there forever, but with the advancement in LLM, I think it will become a reality. Databricks and Snowflake are better places to index the data and its metadata to enable natural language query capabilities. On top of it, it does support access control for queries and maintains the permission model.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

Cloudera

NOVEMBER 29, 2023

The Model Registry is designed to streamline these processes, offering a variety of tools and features. It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping. You can track each iteration, compare changes, and ensure that you always have access to the version that suits your needs.

Machine Learning 86

Machine Learning Metadata Cloud Project 86

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Another distinction is the ETL vs. ELT choice: In data warehouses, Extract and Transform processes usually occur before data is loaded into the warehouse. This will simplify further reading.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudyard

APRIL 4, 2024

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. Implementation: Implementation: We developed a Snowpark script to process customer transaction data stored in the Snowflake database.

Retail 40

Retail Data Ingestion Metadata Datasets 40