CIO Business Intelligence

JULY 24, 2022

Rouch joins from IT services and consulting firm Class where she’d been CTO since March 2020. Paul Keen departs from Nuix, Alexis Rouch takes CIO role. Alexis Rouch will join software vendor Nuix as CIO in August replacing Paul Keen who is leaving the company. Rouch brings more than 20 years of experience in both private and public sectors.

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

CIO Business Intelligence

NOVEMBER 28, 2023

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

SEPTEMBER 6, 2023

If care is not taken in the intake process, there could be huge risks if that security scheme or other info are inadvertently pushed to generative AI, says Jim Kohl, Devops Consultant at GAIG. For example, litigation has surfaced against companies for training AI tools using data lakes with thousands of unlicensed works.

Software 120

Software Experimentation Risk Data Lake 120

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). Akhil is a Lead Consultant at AWS Professional Services.

Data Quality 64

Data Quality Data Lake Data Warehouse Data-driven 64

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 92

Data Lake Data Processing Metadata Snapshot 92

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 93

Data Lake Unstructured Data Management Modeling 93

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

AUGUST 4, 2022

This inflection point related to the increasing amount of time needed for AI model training — as well as increasing costs around data gravity and compute cycles — spurs many companies to adopt a hybridized approach and move their AI projects from the cloud back to an on-premises infrastructure or one that’s colocated with their data lake.

Modeling 97

Modeling Cost-Benefit ROI Data Lake 97

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Introducing Data Lakes.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

CDW Research Hub

JULY 27, 2021

Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools. Are you interested in building a modern data platform with Denodo and Snowflake?

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

IBM Big Data Hub

APRIL 9, 2024

In a continuous design thinking process, teams from IBM Consulting and the club collaborate to improve the fan experience year after year. This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools.

Management 88

Management IT Machine Learning Metrics 88

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 Metadata 66

DataKitchen

AUGUST 27, 2021

DataOps automation replaces the non-value-add work performed by the data team and the outside dollars spent on consultants with an automated framework that executes efficiently and at a high level of quality. The DataOps Platform does not replace a data lake or the data hub.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Cloudera

SEPTEMBER 15, 2021

The algorithms are imperfect, but they will get better in time as they “learn” by processing more data. . Fast-changing Data. Data analytics at the edge also allow organizations to cope with another significant challenge. Take the data that government agencies and medical researchers have tracked during the COVID-19 pandemic.

IoT 121

IoT Analytics Internet of Things Data Lake 121

CIO Business Intelligence

MARCH 18, 2024

“By investing in the development of our full-time equivalents [FTEs] and equipping our technologists with the requisite expertise, we aim to minimize reliance on external consultants and maximize our ability to drive innovation from within,” says Nafde. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 69

Optimization Data Lake Cost-Benefit Reporting 69

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

CIO Business Intelligence

JUNE 1, 2022

Finally, make sure you understand your data, because no machine learning solution will work for you if you aren’t working with the right data. Data lakes have a new consumer in AI. IT is a consulting service to the DBC, which is charged for the IT resources it consumes. You are both CIO and chief digital officer.

IT 97

IT Interactive Marketing Consulting 97

IBM Big Data Hub

MAY 19, 2023

With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely. In addition, it helps to reduce backup costs, provide permanent access to archived data, store data for cloud-native applications and create data lakes for big data analytics and AI.

Unstructured Data 82

Unstructured Data Data Processing Manufacturing Data Lake 82

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 83

Measurement Dashboards Data Warehouse Analytics 83

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 94

Data Quality Statistics Data Lake Visualization 94

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

APRIL 19, 2023

About the authors Vinay Kumar Khambhampati is a Lead Consultant with the AWS ProServe Team, helping customers with cloud adoption. He is passionate about big data and data analytics. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation.

Metadata 79

Metadata Testing Data Lake Consulting 79

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. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

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.

Data Lake 116

Data Lake Metadata Optimization Statistics 116

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. The benchmark run by McKnight Consulting Group used the Impala engine.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

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

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 98

Data Warehouse Testing Data Lake Data-driven 98

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

JULY 19, 2023

He is passionate about architecting fast-growing data environments, diving deep into distributed big data software like Apache Spark, building reusable software artifacts for data lakes, and sharing knowledge in AWS Big Data blog posts.

Big Data 82

Big Data Software Consulting Unstructured Data 82

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. This is where business intelligence consulting comes into the picture. What is Business Intelligence?

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Jet Global

OCTOBER 7, 2020

That means creating new entities from scratch or paying to have it done by an outside consultant. In practice, the Data Entity Store offers less flexibility than working with the aforementioned data entities. Working with Data Entities. Data entities are extracted using Microsoft’s Data Extract Apps.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Alation

FEBRUARY 13, 2020

But what is the value of the Alation Data Catalog in dollars and cents (or euros or yen)? To answer that question, Alation worked with Forrester Consulting and seven of our production customers to conduct a Total Economic Impact (TEI) study. What do improvements in productivity, governance, and collaboration mean to the bottom line?

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

Andrew White

OCTOBER 24, 2019

Vision/Data Driven/Outcomes 28. Modern) Master Data Management 16. Data lake 4. Data Literacy 4. Data Management platform 7. Senior Consultant 1. AI/Innovation 3. AI/Automation 6. Rolls and Skills 5. Getting Started 6. D&A Strategy 19. Entity resolution/DQ 3. Role (38): CIO 19. VP Architecture 2.

Recreation/Entertainment 49

Recreation/Entertainment Data Lake IT Insurance 49

AWS Big Data

FEBRUARY 6, 2023

He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. He is an experienced analytics leader working with AWS customers to deliver modern data solutions.

Dashboards 75

Dashboards Optimization Data Lake Cost-Benefit 75