CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

DataKitchen

JANUARY 3, 2022

There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps expands upon this approach by focusing on the processes and workflows that create data enablement and business analytics. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

CIO Business Intelligence

APRIL 8, 2025

We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

OCTOBER 18, 2022

Noel had already established a relationship with consulting firm Resultant through a smaller data visualization project. Resultant then provided the business operations team with a set of recommendations for going forward, which the Rangers implemented with the consulting firm’s help.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

CIO Business Intelligence

NOVEMBER 28, 2023

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Cloudera

NOVEMBER 17, 2022

HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making. Smooth, hassle-free deployment in just six weeks. ” Prior to the upgrade, HBL’s 27 node cluster ran on CDH 6.1

Management 85

Management Data Lake Consulting Unstructured Data 85

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

BI-Survey

AUGUST 21, 2020

People from BI and analytics teams, business units, IT, corporate management and external consultant teams took part. A time-consuming development process and restricted support of self-service BI are the major drivers for modernizing the data warehouse.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

MARCH 25, 2024

Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis. For more details, refer to Create a low-latency source-to-data lake pipeline using Amazon MSK Connect, Apache Flink, and Apache Hudi.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

CIO Business Intelligence

SEPTEMBER 21, 2023

Enterprises still aren’t extracting enough value from unstructured data hidden away in documents, though, says Nick Kramer, VP for applied solutions at management consultancy SSA & Company. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

AWS Big Data

FEBRUARY 6, 2023

He mainly works with enterprise customers to help data lake migration and modernization, and provides guidance and technical assistance on big data projects such as Hadoop, Spark, data warehousing, real-time data processing, and large-scale machine learning. George Zhao is a Senior Data Architect at AWS ProServe.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

CIO Business Intelligence

MAY 12, 2022

The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. Everyone has data lakes, data ponds – whatever you want to call them. How do you get your arms around all the data you have? So, real-time data has become air.

Testing 98

Testing Advertising Data Lake Marketing 98

CDW Research Hub

JULY 27, 2021

Cloud-based solutions are promising, but some organizations are reluctant to migrate from legacy systems because it could result in costly downtime and many unknown data architecture and migration issues. Reduce the total cost of ownership of the data infrastructure. Mitigate risks with a seamless cloud migration.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 105

Data Warehouse Testing Data Lake Data-driven 105

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. George Zhao is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Peter James Thomas

MAY 3, 2019

As part of my consulting business , I end up thinking about Data Capability Frameworks quite a bit. Sometimes this is when I am assessing current Data Capabilities, sometimes it is when I am thinking about how to transition to future Data Capabilities. Data Architecture / Infrastructure. Introduction.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Peter James Thomas

APRIL 3, 2020

The way that this consistency of figures is achieved is by all elements of the Structured Reporting Framework drawing their data from the same data repositories. Without paying attention to this, your shiny warehouse or data lake will be a technological curiosity, not an indispensable business tool.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

APRIL 28, 2023

This will include how to configure Okta, AWS Lake Formation , and a business intelligence tool to enable SAML-based federated use of Athena for an enterprise BI activity. When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform.

Data Governance 71

Data Governance Management Data-driven Analytics 71

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix.

IT 119

IT Insurance Cost-Benefit Testing 119

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. The following diagram illustrates the different layers of the data lake.

Data Lake 97

Data Lake Machine Learning Data Architecture Data-driven 97