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. Stale dashboards?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Cloudera

APRIL 1, 2024

Our cutting-edge Shared data experience (SDX) service provides a unified control plane for common security, governance and metadata management on all structured and unstructured data. It gives the flexibility to teams to use their choice of tools/engines without worrying about ETL.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Data Engineering Podcast

AUGUST 28, 2022

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. "make sure that this BI dashboard is up to date every 6 hours") What are the tasks that are most complex to build automation for?

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

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

Cloudera

FEBRUARY 22, 2022

Through our contributions, we have extended support for Hive and Impala, delivering on the vision of a data architecture for multi-function analytics from large scale data engineering (DE) workloads to fast BI and querying (within DW) and machine learning (ML). It removes the load from the Metastore and Metastore backend database. .

Metadata 107

Metadata Datasets BI SQL 107

Precisely

OCTOBER 16, 2023

This shift has influenced how cloud resources are designed and marketed, focusing on easy access, modularity, and straightforward deployment. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions. Business users want flexibility, effortless access, and quick solutions to their problems.

Cloud 70

Cloud Cloud Computing Metadata Data Governance 70

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. For query planning Iceberg relies on metadata files, as mentioned earlier, that contains where the data lives and how partitioning and schema are spread across the files.

Metadata 90

Metadata Data Architecture BI Machine Learning 90

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 52

Metadata BI Government ETL Tools 52

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Cloudera

SEPTEMBER 9, 2022

Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. These new formats need to accommodate the massive scale increases while shortening the response windows for accessing, analyzing, and using these data sets for business insights. According to Gartner, Inc.

Architecture 100

Architecture Metadata Unstructured Data Machine Learning 100

Monte Carlo

MAY 30, 2024

This improves the LLM’s outputs by allowing it to access and incorporate up-to-date and reliable information into its responses and reasoning. But rather than augmenting an existing LLM with access to a proprietary database, fine-tuning goes deeper by tailoring the model itself for a specific domain.

Pipeline-centric 52

Pipeline-centric Database-centric Datasets Data Pipeline 52

Monte Carlo

FEBRUARY 26, 2024

It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems. Additionally, data catalogs can centrally enforce rules of access, security, and governance, all in a way that is both automatic and visible.

Metadata 52

Metadata Government Data Data Governance 52

Snowflake

MAY 8, 2023

By leveraging Snowflake’s comprehensive metadata on query history and operator statistics , alongside Acceldata’s advanced query fingerprinting techniques, users can attain a deeper comprehension of their workloads and pinpoint the most resource-intensive or unoptimized queries. This retrieves the stats of the query ID in question.

Technology 111

Technology SQL BI Utilities 111

Monte Carlo

APRIL 27, 2023

The cloud native no-code analytics and business intelligence (BI) platform is a favorite of data teams for its familiar spreadsheet interface and ability to give business users instant access to explore and get insights. However, the insights within any BI tool are only actionable if they can be accessed and trusted.

BI 52

BI Business Intelligence Metadata Data Warehouse 52

Towards Data Science

JULY 24, 2023

Well, the connective tissue that powers and integrates these services is frequently found in the metadata of table formats (storage) and query/job logs (compute). These platforms provide a centralized mechanism to do access control, whereas decoupled architectures require federating roles across multiple query engines — a non-trivial task.

Metadata 95

Metadata Data Warehouse Data Lake Data Science 95

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

Towards Data Science

DECEMBER 1, 2023

However, we will pay particular attention to Access Control (this will be used for dbt access). After the initial sync, you can access your data from the Snowflake UI. As a best practice, you should use different warehouses for different workloads (ad-hoc, sync, BI analytics) or different environments (dev, prod).

Data Engineering 70

Data Engineering Data Engineer Project Engineering 70

Data Engineering Podcast

JULY 30, 2021

As a result, they are relying on a constantly growing number of data sources being accessed by an increasingly varied set of users. The data you’re looking for is already in your data warehouse and BI tools. There has been a surge in tools and services for metadata collection, data catalogs, and data collaboration.

BI 100

BI SQL Metadata Kafka 100

Netflix Tech

NOVEMBER 13, 2023

The detailed temporal metadata SMAD provides about speech and music regions in a polyphonic audio mixture are a first step for structural audio segmentation, indexing and pre-processing audio for the following downstream tasks. Likewise, authoring accessibility-features like Audio Description (AD) involves music and speech segmentation.

Datasets 89

Datasets Metadata Algorithm Architecture 89

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Sample of a high-level data architecture blueprint for Azure BI programs. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance.

IT 93

IT Data Lake Data Warehouse Cloud Storage 93

Monte Carlo

DECEMBER 8, 2023

Data provenance is the record of metadata from data’s original sources, providing the historical context and authenticity of data. Data provenance is the historical record of data from its original sources by capturing metadata of data’s changes throughout the lifecycle. Enter: data provenance and data lineage.

Metadata 52

Metadata Data Data Warehouse Government 52

Monte Carlo

DECEMBER 8, 2023

Data provenance is the record of metadata from data’s original sources, providing the historical context and authenticity of data. Data provenance is the historical record of data from its original sources by capturing metadata of data’s changes throughout the lifecycle. Enter: data provenance and data lineage.

Metadata 52

Metadata Data Data Warehouse Government 52

Monte Carlo

FEBRUARY 8, 2024

Robust role based access controls? Data observability tools should offer both broad automated metadata monitoring across all the tables once they have been added to your selected schemas, as well as deep monitoring for issues inherent in the data itself. Do you have role based access controls? BI tools See above.

BI 59

BI Data Pipeline Data Warehouse Data 59

Monte Carlo

AUGUST 19, 2023

I’ve also updated this post to include additional layers frequently found within a modern data platform such as data governance, access management, and machine learning. Dataform – Now part of the Google Cloud , Dataform allows you to transform raw data from your warehouse into something usable by BI and analytics tools.

Building 52

Building BI Data Lake Data Governance 52

LinkedIn Engineering

JULY 27, 2023

It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together. We evaluated various watermarking strategies and decided on Auxiliary metadata driven watermarking.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Monte Carlo

FEBRUARY 21, 2023

Part of the beauty of the data fabric is its ease of use and accessibility for multiple constituents within an organization, including business users who are not a part of the data engineering team. As your team builds your data fabric, make sure you have a designated way to collect the various metadata associated with your data inputs.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Part of the beauty of the data fabric is its ease of use and accessibility for multiple constituents within an organization, including business users who are not a part of the data engineering team. As your team builds your data fabric, make sure you have a designated way to collect the various metadata associated with your data inputs.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

JUNE 30, 2022

With Shared Data Experience (SDX) which is built in to CDP right from the beginning, customers benefit from a common metadata, security, and governance model across all their data. . Customers use a metadata-only migration in a single command, without touching any of the underlying large data sets.

Data Lake 86

Data Lake Business Intelligence Metadata Data Warehouse 86

dbt Developer Hub

DECEMBER 11, 2023

The Semantic Layer lets teams define business metrics centrally, in dbt, and access them in multiple analytics tools through our semantic layer APIs. They contain metadata about your dbt models in a format that MetricFlow, the query builder that powers the semantic layer, can understand.

Finance 64

Finance BI SQL Cloud 64

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. The system is also packed with data governance features including access control and auditing. Key features of a data lakehouse. ACID transaction support.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Cloudera

NOVEMBER 13, 2020

Unlike traditional planners that need to consider accessing a table via a variety of types of index, Impala’s planner always starts with a full table scan and then applies pruning techniques to reduce the data scanned. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency.

Metadata 143

Metadata Coding SQL Database 143

dbt Developer Hub

JULY 25, 2022

If you’ve needed to grant access to a dbt model between 2019 and today, there’s a good chance you’ve come across the "The exact grant statements we use in a dbt project" post on Discourse. Option B: Too clever by half ​ Now that grants is a real config in dbt, available via dbt metadata, you can do all sorts of fun things with it.

BI 52

BI Metadata Database SQL 52

Data Engineering Podcast

MARCH 22, 2021

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. e.g. APIs and third party data sources How can we integrage CDC into metadata/lineage tooling?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Monte Carlo

NOVEMBER 6, 2023

With features like automated data classification, data quality checks , and data lineage , Collibra helps provide both accessibility and an extra level of reliability for your data. It offers a 360-degree view of your data, including data lineage, relationships, and rich metadata.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

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. Single point of failure.

Process 69

Process Data Lake Metadata Data Warehouse 69