IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

CIO Business Intelligence

JANUARY 24, 2024

Using unstructured data for actionable insights will be a crucial task for IT leaders looking to drive innovation and create additional business value.” One of the keys to benefiting from unstructured data is to define clear objectives, Miller says. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Cost efficiencies by taking advantage of Spot instances. Conclusion.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

AWS Big Data

SEPTEMBER 13, 2024

AWS as a key enabler of CFM’s business strategy We have identified the following as key enablers of this data strategy: Managed services – AWS managed services reduce the setup cost of complex data technologies, such as Apache Spark. At this stage, CFM data scientists can perform analytics and extract value from raw data.

Interactive 108

Interactive Strategy Cost-Benefit Data Governance 108

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

IBM Big Data Hub

JULY 5, 2023

In the case of Hadoop, one of the more popular data lakes, the promise of implementing such a repository using open-source software and having it all run on commodity hardware meant you could store a lot of data on these systems at a very low cost. But it never co-existed amicably within existing data lake environments.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

AWS Big Data

AUGUST 19, 2024

We also use Amazon S3 to store AWS Glue scripts, logs, and temporary data generated during the ETL process. This approach offers the following benefits: Enhanced security – By using PrivateLink and VPC endpoints, data transfer between Snowflake and Amazon S3 is secured within the AWS network, reducing exposure to potential security threats.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

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

Data Insight

JANUARY 21, 2020

Last year almost 200 data leaders attended DI Day, demonstrating an abundant thirst for knowledge and support to drive data transformation projects throughout their diverse organisations. This year we expect to see organisations continue to leverage the power of data to deliver business value and growth.

Internet of Things 52

Internet of Things Data Science Cost-Benefit Data Governance 52

Alation

JANUARY 17, 2023

In actual fact, it isn’t all that confusing at all, and understanding what it means can have huge benefits for your organization. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? Extract, load, Transform (ELT) tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Anmut

APRIL 6, 2022

For example, the data elements name, address, phone number, and account number may be grouped together to form your customer data set. A data asset is a collection of data sets expected to provide specific future economic benefits to the organisation and its stakeholders.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? This platform can be implemented in a cost-effective serverless cloud environment and put to work right away. DataOps is critically dependent on robust governance and cataloging capabilities. Alation’s DataOps Role.

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Ontotext

FEBRUARY 12, 2024

The data mesh concept will mitigate cognitive overload when building data-driven organizations that require intense technical, domain, and operational knowledge. For many organizations, a centralized data platform will fall short as it gives data teams much less autonomy over managing increasingly diverse and voluminous datasets.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

AWS Big Data

APRIL 29, 2025

Businesses increasingly require scalable, cost-efficient architectures to process and transform massive datasets. At the BMW Group, our Cloud Efficiency Analytics (CLEA) team has developed a FinOps solution to optimize costs across over 10,000 cloud accounts. However, our initial data architecture led to challenges.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54

CIO Business Intelligence

JANUARY 10, 2025

Benefits of Tableau certification Individuals whove obtained Tableau certification say Tableau skills remain in-demand in the job market, and adding Tableau certification to their CVs has helped them gain the attention of hiring managers. The Tableau Certified Data Analyst title is active for two years from the date achieved.

Data Analytics 105

Data Analytics Analytics Consulting Visualization 105