AWS Big Data

APRIL 29, 2024

Example permission configuration In a practical application within a company, permissions for tables and fields in the data warehouse are divided based on business departments, isolating sensitive data for different business units. This provides data security and orderly conduct of daily business operations.

Management 109

Management Big Data Data Warehouse Metadata 109

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

Metadata 87

Metadata Data Lake Testing Consulting 87

AWS Big Data

DECEMBER 5, 2023

HR&A Advisors —a multi-disciplinary consultancy with extensive work in the broadband and digital equity space is helping its state, county, and municipal clients deliver affordable internet access by analyzing locally specific digital inclusion needs and building tailored digital equity plans.

Measurement 93

Measurement Dashboards Data Warehouse Analytics 93

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Put AI to work in your business with IBM today IBM is infusing watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Data Warehouse 66

Jet Global

DECEMBER 1, 2020

Finally, you will likely spend a great deal of time formatting and manipulating all of that data so that it is presented in a way that makes sense to the people reading it. 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

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. But it isn’t just aggregating data for models.

Data Science 94

Data Science Snapshot Data Warehouse Metadata 94

AWS Big Data

AUGUST 8, 2024

Following thorough team discussions and consultations with the AWS experts, the team concluded that a solution using Amazon S3 and Athena stood out as the most cost-effective and straightforward choice. Partition projection in Athena allows you to improve query efficiency by projecting the metadata of your partitions.

Interactive 118

Interactive Metadata Optimization Testing 118

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

AWS Big Data

JUNE 27, 2024

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Document the entire disaster recovery process.

Snapshot 80

Snapshot Data Warehouse Data Processing Strategy 80

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tags provide metadata about resources at a glance.

Snapshot 90

Snapshot Metadata Measurement Data Warehouse 90

Octopai

OCTOBER 3, 2019

If you are part of a large organization, chances are good that you’re up to your eyeballs in data. Not only that, but the data you have is probably from multiple sources, stored in multiple formats, and housed in various file systems, databases, and data warehouses. Not Without a Metadata Management Tool.

Enterprise 56

Enterprise Metadata Data Warehouse Consulting 56

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 103

Data Lake Data Processing Metadata Snapshot 103

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. Frequent table maintenance needs to be performed to prevent read performance from degrading over time.

Data Lake 125

Data Lake Metadata Statistics Optimization 125

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

Ontotext

OCTOBER 14, 2021

For the purposes of this article, you just need to know the following: A graph is a method of storing and modeling data that uniquely captures the relationships between data. A knowledge graph uses this format to integrate data from different sources while enriching it with metadata that documents collective knowledge about the data.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. With its industry-based, consultative approach, Cognizant helps clients envision, build, and run more innovative and efficient businesses.

Data Warehouse 64

Data Warehouse Cost-Benefit Metadata Data Lake 64

AWS Big Data

FEBRUARY 13, 2023

We live in a data-producing world, and as companies want to become data driven, there is the need to analyze more and more data. These analyses are often done using data warehouses. Status quo before migration Here at OLX Group, Amazon Redshift has been our choice for data warehouse for over 5 years.

Snapshot 73

Snapshot Data Warehouse Analytics Testing 73

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 75

Cost-Benefit Metadata Optimization Management 75

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. He works backward from customer’s use cases and designs data solutions to solve their business problems. versions).

Data Lake 104

Data Lake Unstructured Data Management Snapshot 104

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 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. Also, implementation is costly and lengthy, often requiring consultants to build new reports or convert Discoverer reports to OBIEE. It’s like looking for a needle in a haystack.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

JUNE 17, 2021

So while the process of gathering data and establishing metadata to support transfer pricing would be highly standardized, the new system would have flexibility built in from the start to accommodate inevitable change. Adopting Key Principles.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Jet Global

SEPTEMBER 22, 2023

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 1, 2023

Services Technical and consulting services are employed to make sure that implementation and maintenance go smoothly. These include how-to guides, best practices, and in-person consultations. Every time a hospital administrator wants to check inventory levels, they consult a dashboard. The days of Big BI are over. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

DECEMBER 17, 2021

Historically, organizations have relied on the upload of.CSV files and mapping tables to affect a data transfer. But such an approach is very susceptible to errors, as for example, metadata such as cost centers, accounts, and hierarchies, is changed on one side of the interface but not the other.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52

BI-Survey

MARCH 6, 2025

Choices for Data Pipelining Development Organizations rely on various tools for data pipeline development, each serving different business needs. Data Integration Specialists focus on connectivity and transformation logic, enabling robust data pipelines. Want to know more about Data Warehouse Automation?

Data Warehouse 52

Data Warehouse Metadata Unstructured Data Data-driven 52

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The new technique captures real-time statistical metadata gathered during data ingestion without incurring additional computational overhead.

Statistics 88

Statistics Data Warehouse Metadata Data Lake 88

AWS Big Data

FEBRUARY 27, 2025

Data governance involves establishing clear ownership and accountability for data, including defining roles, responsibilities, and decision-making authority related to data management. A mechanism to handle the custom authorization flow when a consumer triggers the subscription grant to an environment.

Metadata 72

Metadata Data Governance Testing Data Lake 72