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 103

Data Lake Data Processing Metadata Snapshot 103

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

AWS Big Data

DECEMBER 12, 2024

In the context of comprehensive data governance, Amazon DataZone offers organization-wide data lineage visualization using Amazon Web Services (AWS) services, while dbt provides project-level lineage through model analysis and supports cross-project integration between data lakes and warehouses.

Snapshot 78

Snapshot Recreation/Entertainment Experimentation Data Lake 78

CIO Business Intelligence

OCTOBER 18, 2022

Driving better fan experiences with data. 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

JANUARY 20, 2023

But Kevin Young, senior data and analytics consultant at consulting firm SPR, says organizations can first share data by creating a data lake like Amazon S3 or Google Cloud Storage. Members across the organization can add their data to the lake for all departments to consume,” says Young.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

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

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

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

AWS Big Data

JANUARY 27, 2023

Verify all table metadata is stored in the AWS Glue Data Catalog. Consume data with Athena or Amazon EMR Trino for business analysis. Update and delete source records in Amazon RDS for MySQL and validate the reflection of the data lake tables. As we mentioned earlier, Iceberg and Hudi have different catalog management.

Data Lake 66

Data Lake Metadata Business Analysis Data-driven 66

AWS Big Data

NOVEMBER 11, 2024

Sesha Sanjana Mylavarapu is an Associate Data Lake Consultant at AWS Professional Services. She specializes in cloud-based data management and collaborates with enterprise clients to design and implement scalable data lakes.

Snapshot 97

Snapshot Strategy Dashboards Data Lake 97

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 96

Data Lake Big Data Data Warehouse Consulting 96

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

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 Data Warehouse Digital Transformation 98

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 103

Data Lake Data Warehouse Data-driven B2B 103

CIO Business Intelligence

APRIL 8, 2025

Comparison of modern data architectures : Architecture Definition Strengths Weaknesses Best used when Data warehouse Centralized, structured and curated data repository. Inflexible schema, poor for unstructured or real-time data. Data lake Raw storage for all types of structured and unstructured data.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

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

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

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 119

Software Experimentation Risk Uncertainty 119

AWS Big Data

FEBRUARY 7, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Apache Hudi supports ACID transactions and CRUD operations on a data lake. You don’t alter queries separately in the data lake.

Data Lake 80

Data Lake Testing Big Data Structured Data 80

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.

Visualization 98

Visualization Analytics Data Warehouse Data Lake 98

DataKitchen

JANUARY 17, 2022

If data is sequestered in access-controlled data islands, the process hub can enable access. Operational systems may be configured with live orchestrated feeds flowing into a data lake under the control of business analysts and other self-service users. Figure 1: A DataOps Process Hub.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

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

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

CIO Business Intelligence

DECEMBER 21, 2022

By 2025, it’s estimated we’ll have 463 million terabytes of data created every day,” says Lisa Thee, data for good sector lead at Launch Consulting Group in Seattle. But what they really need to do is fundamentally rethink how data is managed and accessed,” he says. We all hear the horror stories,” he says.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

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

IBM Big Data Hub

JANUARY 19, 2024

The solution, as discussed by McKinsey, is to create a data lake where all the collected data pools and relevant parties have access to aggregate information to make smarter decisions. Then CX and customer service professionals can use customer relationship management (CRM) tools to take actions on this data.

Data-driven 84

Data-driven Consulting Interactive Data Lake 84

Cloudera

SEPTEMBER 10, 2021

Both customers also gain from modernizing their data lake architecture to allow them to decouple compute nodes from storage. With the net new workloads of our pharmaceutical CDH customer, they could further reduce compute costs by dynamically spinning up Data Hubs for various jobs instead of having an always-on cluster.

Cost-Benefit 83

Cost-Benefit Data Lake Data Warehouse Management 83

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

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 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

OCTOBER 19, 2022

“So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions. We kept the data warehouse but augmented it with a cloud-based enterprise data lake and ML platform.

IT 124

IT Data Warehouse Digital Transformation Risk 124

IBM Big Data Hub

JUNE 11, 2024

This migration not only reduces operational costs and complexities associated with maintaining physical data centers but also enhances security, compliance and innovation capabilities. IBM Consulting offers AWS Migration Factory, an innovative engagement model that is built on IBM Garage™ Methodology for app modernization.

Consulting 66

Consulting Optimization Manufacturing Management 66

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

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 104

Data Lake Unstructured Data Management Snapshot 104

CIO Business Intelligence

MAY 26, 2022

And this means developing expertise in a wide range of activities, says Meagan Gentry, national practice manager for the AI team at Insight, a Tempe-based technology consulting company. MLOps covers the full gamut from data collection, verification, and analysis, all the way to managing machine resources and tracking model performance.

Machine Learning 145

Machine Learning Data-driven Modeling Dashboards 145

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 105

Data Analytics Analytics Data Warehouse Data Lake 105