AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Alation

MARCH 31, 2023

Actually, with Solomon-like wisdom, Zaidi and Thanaraj suggest a scenario where data fabric and data mesh work together — a Reese’s Peanut Butter Cup of data architecture, representing a “meshy fabric” scenario I presented last year. Data governance. “I He compared governance to the U.S.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

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. What are common data challenges for the travel industry? Travel can be stressful and emotionally fraught.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I saw the winds change and the inquiry requests shifted towards advanced analytics involving machine learning (ML) questions. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges. Big data storage.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

CIO Business Intelligence

DECEMBER 11, 2023

Capture patient documentation with a digital scribe. Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets.

Unstructured Data 74

Unstructured Data Interactive Data-driven Consulting 74

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 130

Metadata Testing Risk Data Science 130

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 79

Cost-Benefit Metadata Data Governance Modeling 79

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. Still, certain issues surface time and time again to trouble business outcomes regardless of the strategic objectives. “Few

Digital Transformation 145

Digital Transformation Data-driven Business Objectives Strategy 145

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

Alation

APRIL 14, 2022

This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. The Cloud Data Migration Challenge. Data Governance and Data Security.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

Metrics 52

Metrics Dashboards Sales Reporting 52

CIO Business Intelligence

JUNE 20, 2022

This landmark document will look at how we can build on this momentum and apply the lessons challenges ahead of us, including tackling the COVID backlog and making the reforms that are vital to the future of health and care. Data Governance, Government, Government IT, Healthcare Industry EPR and NHS App targets.

Data Strategy 97

Data Strategy Strategy Digital Transformation Data Architecture 97

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

IT 78

IT Data Governance Modeling Cost-Benefit 78

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

AUGUST 22, 2023

It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 136

Analytics Slice and Dice Metrics Sales 136

Alation

FEBRUARY 10, 2022

Further, as emerging privacy laws mandate how data can be used, data classification helps you meet these requirements. With data classification, metadata tags are used to: Protect sensitive data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS. Accelerate Data Analytics.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Cloudera

FEBRUARY 11, 2019

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Governing digital transformation and growth.

Digital Transformation 57

Digital Transformation Data Governance Data Warehouse Data-driven 57

AWS Big Data

JUNE 28, 2023

For the complete list of public preview considerations, please refer to the feature AWS documentation. For complete getting started guides, refer to the following documentation links for Aurora and Amazon Redshift. To learn more about Aurora zero-ETL integration with Amazon Redshift, visit documentation for Aurora and Amazon Redshift.

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

datapine

DECEMBER 11, 2019

SaaS is less robust and less secure than on-premises applications: Despite some SaaS-based teething problems or technical issues reported by the likes of Google, these occurrences are incredibly rare with software as a service applications – and there hasn’t been one major compromise of a SaaS operation documented to date.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Cloudera

AUGUST 26, 2020

The Cloudera Connect Technology Certification program uses a well-documented process to test and certify our Independent Software Vendors’ (ISVs) integrations with our data platform. Certified BI Analytical Partners. Pepperdata provides observability and continuous tuning for the big data analytics stack.

Machine Learning 82

Machine Learning Big Data Data Warehouse Data-driven 82

Sisense

SEPTEMBER 12, 2019

We’ve even gone as far as saying that every company is a data company , whether they know it or not. And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. With that being said, it’s not enough to just have a tool.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 74

Machine Learning Manufacturing Cost-Benefit Deep Learning 74

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. programs in Information Science and Data Analytics.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Strategy is Learning By Doing.

Analytics 68

Analytics Metadata Data Governance Management 68

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. Sci Foo 2019.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. I would have to admit that there are few documents that talk about all the connections across any set of topics. We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Grooper

OCTOBER 23, 2019

Lack of competitiveness or business losses seem to be the main drivers to becoming more proactive with data governance and management. What you’re shooting for is enterprise-wide information governance. Governance. Information governance is more than just ‘store everything!’

Metrics 59

Metrics Measurement Strategy Optimization 59

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Scoring – i.e. profitability or risk.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54