DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Note, this is based on a post by Zhamak Dehghani of Thoughtworks. .

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

SEPTEMBER 7, 2023

AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. The AWS Glue crawler writes metadata to the Data Catalog by classifying the data to determine the format, schema, and associated properties of the data. Big Data Architect.

Metadata 95

Metadata Dashboards Metrics Visualization 95

Octopai

MAY 13, 2020

Talent retention isn’t the only result of good onboarding, especially in the complex world of business intelligence. Octopai’s platform was able to shorten their onboarding process as new hires were able to perform data analysis without the aid of numerous coworkers. Creating an efficient onboarding solution isn’t always easy.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

Octopai

DECEMBER 15, 2019

Business leaders are becoming increasingly aware that data lineage mapping is not just a useful tool to trace the flow of data, it is a vital function of running an efficient business. As such, the use of data lineage automation tools such as Octopai has skyrocketed. Automation Allows for Faster Data Analysis.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 52

DataKitchen

OCTOBER 11, 2021

The biggest challenge is broken data pipelines due to highly manual processes. Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Monitoring Job Metadata.

Testing 157

Testing Metadata Dashboards Statistics 157

AWS Big Data

MAY 1, 2024

Excel-based data utilization Microsoft Excel is available on almost everyone’s PC in the company, and it helps lower the hurdles when starting to utilize data. However, Excel is mainly designed for spreadsheets; it’s not designed for large-scale data analytics and automation.

Dashboards 107

Dashboards Data-driven Publishing Cost-Benefit 107

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

AWS Big Data

AUGUST 15, 2023

As customers accelerate their migrations to the cloud and transform their businesses, some find themselves in situations where they have to manage data analytics in a multi-cloud environment, such as acquiring a company that runs on a different cloud provider. The following screenshot shows our database details.

Recreation/Entertainment 84

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 84

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. She helps customers architect data analytics solutions at scale on AWS.

Measurement 79

Measurement Dashboards Data Warehouse Analytics 79

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

NOVEMBER 22, 2022

“Unique insights derived from an organization’s data constitute a competitive advantage that’s inherent to their business and not easily copied by competitors,” she observes. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

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Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

MARCH 4, 2024

To deliver a cohesive data strategy, seamless data access and sharing requires the breaking down of data silos. This is where data fabric tools with their focus on orchestration, contextual layering, and metadata management are important elements to add to the equation. To learn more, visit us here.

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Insurance Strategy Data Governance Data Integration 91

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 91

Data Lake Data Warehouse Machine Learning Cost-Benefit 91

CIO Business Intelligence

DECEMBER 16, 2022

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Security, as ever, made a strong showing, with big premiums paid for experience in cryptography, penetration testing, risk analytics and assessment, and security testing. in the previous six months. since March.

Testing 94

Testing Metadata Data Processing Machine Learning 94

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. In a first test of the technology, he used Alation to catalog a subset of Very’s data held in an old Teradata database. We’re a Power BI shop,” he says.

IT 89

IT Forecasting Data Lake Enterprise 89

CIO Business Intelligence

JUNE 23, 2022

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system.

IT 85

IT Data Architecture Unstructured Data Big Data 85

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 91

Data Lake Data Warehouse Machine Learning Cost-Benefit 91

FineReport

NOVEMBER 17, 2021

It was an American interactive data visualization software company of business intelligence. Data Management. Tableau : There are specialized modules to manage metadata. FineReport: When organizing data management, we may face data source replacement. Meanwhile, Domo grows external data value.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

AWS Big Data

JULY 20, 2023

These data pipelines generate valuable insights and curated data that are stored in Apache Iceberg tables for downstream usage. This data is then used by various applications for streaming analytics, business intelligence, and reporting. Oded Lifshiz is a Principal Software Engineer at Orca Security.

Data Lake 84

Data Lake Analytics Snapshot Optimization 84

BI-Survey

FEBRUARY 6, 2020

Only a minority of companies say they have a modern reporting landscape and regularly base decisions on data. These problems become even more obvious when contrasted with modern infrastructures built in the cloud and micro services as well as the challenges caused by exploding data volume and variety. This will and must change.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

CIO Business Intelligence

MARCH 29, 2022

. • You have data but don’t use it. Why does valuable data so often go unused? Lack of annotation with the right metadata is a contributing factor. Another is poor communication between projects or business units. An even larger issue is that people may not know how to see value in data. About Ellen Friedman.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Your Future Requires You to Define Your Real Master Data. Don’t You Need to Understand Your Business Information Architecture?

Analytics 68

Analytics Metadata Data Governance Management 68

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. Shane Thompson is a Sr.

Data Lake 81

Data Lake Data Transformation Cost-Benefit Data-driven 81

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Grooper

OCTOBER 23, 2019

See where you fit in below: We mostly govern our data based on industry regulations, and we don’t have a single-source-of-truth for the majority of our data. Each department controls their data silos without a central policy or plan. The optimal infrastructure is elastic – a dependency on dynamic cloud services.

Metrics 59

Metrics Measurement Strategy Optimization 59

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. It’s a good idea to record metadata.

Metadata 99

Metadata Visualization Unstructured Data Data mining 99

Data Virtualization

JANUARY 18, 2024

Reading Time: 3 minutes Today, the most innovative and successful organizations leverage data to increase revenue, minimize expenses, and deliver products and services that meet the needs of their customers. To be truly “data-driven,” an organization must view data as more than a byproduct. The post How to Shop for Data?

Data-driven 59

Data-driven Data Integration Management Metadata 59

Alation

APRIL 14, 2022

And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

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Data Lake Unstructured Data Data Warehouse Data Quality 112