erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Three Types of Metadata in a Data Catalog. Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

MARCH 29, 2024

Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog. For now, let’s filter with the job name multistage-demo.

Metrics 103

Metrics Visualization Dashboards Interactive 103

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 116

Data Lake Data Processing Metadata Snapshot 116

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 93

Management Data Warehouse Metrics Dashboards 93

Cloudera

MARCH 17, 2023

When implementing a data lakehouse, the table format is a critical piece because it acts as an abstraction layer, making it easy to access all the structured, unstructured data in the lakehouse by any engine or tool, concurrently. Also, the data lake layer is not limited to cloud object stores.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

FEBRUARY 24, 2023

An AWS Glue streaming job is connected to Kinesis Data Streams to process the data using the Iceberg connector. Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. Select Kinesis Data Streams and choose Create data stream.

Data Lake 81

Data Lake Metadata Testing Data Warehouse 81

AWS Big Data

APRIL 8, 2024

Prior to this integration, you had to complete the following steps before Amazon DataZone could treat the published Data Catalog table as a managed asset: Identity the Amazon S3 location associated with Data Catalog table. Publish the table metadata to the Amazon DataZone business data catalog.

Finance 76

Finance Sales Publishing Metadata 76

Alation

DECEMBER 15, 2022

June 2017: Dresner Advisory Services names Alation the #1 data catalog in its inaugural Data Catalog End-User Market Study. August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Expiring snapshots is a relatively cheap operation and uses metadata to determine newly unreachable files.

Strategy 56

Strategy Optimization Snapshot Metadata 56

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. If you want more control over and more value from all your data, join us for a demo of erwin MM.

Data Governance 40

Data Governance Risk Metadata Management 40

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. So, how can a data catalog support the critical project of building data pipelines?

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. In the MDM tool, the team should document references to the MDM policy and metadata information from the data catalog.

Management 52

Management Data Quality Metadata Testing 52

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

Alation

SEPTEMBER 7, 2021

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. Alation provides a deep integration with the Snowflake Data Cloud. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

Cloudera

JULY 13, 2023

In this blog, we will discuss performance improvement that Cloudera has contributed to the Apache Iceberg project in regards to Iceberg metadata reads, and we’ll showcase the performance benefit using Apache Impala as the query engine. Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql.

Metadata 69

Metadata Snapshot Data Warehouse Statistics 69

IBM Big Data Hub

OCTOBER 4, 2023

In fact, according in an IDC DataSphere study, IDC estimated that 10,628 exabytes (EB) of data was determined to be useful if analyzed, while only 5,063 exabytes (EB) of data (47.6%) was analyzed in 2022. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

Data Lake 86

Data Lake Metadata Cost-Benefit Data Warehouse 86

Alation

AUGUST 11, 2022

The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Architectures became fabrics.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

APRIL 6, 2023

Other forms of governance address specific sets or domains of data including information governance (for unstructured data), metadata governance (for data documentation), and domain-specific data (master, customer, product, etc.). Data catalogs and spreadsheets are related in many ways.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Jet Global

DECEMBER 1, 2020

Truly efficient and effective reporting requires a BI engine capable of organizing and preprocessing large data sets and managing replication with operational data sources. In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. Less data gets decompressed, deserialized, loaded into memory, run through the processing, etc.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Octopai

JULY 17, 2019

Well, that’s the problem – BI teams today tend to have to map out data lineage manually since they are usually dealing with multi-vendor environments. And if not impossible, then you can bet it’ll take the data analysts a LONG time to figure out. Data lineage visualization is an overview and a journey map of our data.

Metadata 53

Metadata Visualization Reporting Finance 53

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. OutputValue" --output text) Connect to the demo EKS cluster: echo `aws cloudformation describe-stacks --stack-name $stack_name --query "Stacks[0].Outputs[?starts_with(OutputKey,'eksclusterEKSConfig')].OutputValue"

Big Data 79

Big Data Data Processing Interactive Testing 79

Alation

SEPTEMBER 6, 2022

Ten years ago, there was no modern data catalog. So I was excited to sit down recently with Michael Ting, Senior Software Engineer on the Logical Metadata Infrastructure Team. Michael: I saw the actual product demo, and Aaron Kalb showed me a working version of Compose – our intelligent SQL editor. At first I told him, no way!

Data-driven 52

Data-driven Software Testing Metadata 52

Jet Global

MAY 27, 2021

While it has many advantages, it’s not built to be a transactional reporting tool for day-to-day ad hoc analysis or easy drilling into data details. Request a demo. This includes OBIEE, a strategic BI tool that provides a web platform with attractive dashboards suitable for C-level needs. Hubble Equivalent. Repository. Business Area.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

AWS Big Data

MAY 4, 2023

Amazon Redshift Serverless makes it easy to run and scale analytics in seconds without the need to set up and manage data warehouse clusters. Customers use their preferred SQL clients to analyze their data in Redshift Serverless. An Redshift Serverless data warehouse. For this demo, we log in with user Ethan.

Finance 79

Finance Data Warehouse Sales Metadata 79

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 101

Data Lake Management Metrics Data Warehouse 101

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324