Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Balancing security and useability.

IT 116

IT Unstructured Data Data-driven Data Governance 116

erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Smart Data Collective

OCTOBER 7, 2023

While concerns about privacy and surveillance dominate many discussions, there is an undeniable power in how technology can help in tracing people, whether it’s for reconnecting with a long-lost friend, assisting in investigations, or ensuring safety. This is going to make it a lot easier to find people in the years to come.

Technology 94

Technology Snapshot Data-driven Machine Learning 94

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

DECEMBER 19, 2023

Patterns that address security and compliance dimensions, ensuring traceability to these requirements. Automatic generation of specific data needed for security and compliance reviews. For many enterprises, the journey to cloud reduces technical debt costs and meets CapEx-to-OpEx objectives.

Data-driven 72

Data-driven Software Enterprise Testing 72

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. What did come as a surprise was the central role of the data catalog for CIOs in data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. There are savings to be made in modernizing the data stack itself, in addition to applying data across the enterprise.

Data Architecture 61

Data Architecture Predictive Modeling Data Governance Data-driven 61

erwin

APRIL 11, 2019

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of. A number of high-profile data breaches and scandals have increased public awareness of the issue.

Insurance 100

Insurance Data-driven Data Governance Metadata 100

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. By isolating workloads with specific security requirements or compliance needs, organizations can maintain the highest levels of data privacy and security.

Metadata 72

Metadata Data Processing Management Testing 72

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing? Common data governance challenges.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

SEPTEMBER 11, 2020

In this blog post, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. Data-at-rest encryption. Transparent data-at-rest encryption is available through the Transparent Data Encryption (TDE) feature in HDFS. . Mature key lifecycle management features.

Management 65

Management Big Data Testing Data Integration 65

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. The moment an individual opens an account, you’re asking them for information that needs to be protected, from name and address to social security number. Internal and external auditors work with many different systems to ensure this data is protected accordingly.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Octopai

OCTOBER 5, 2021

Your CFO finally gave the okay to purchase data catalog software. How will you choose the best data catalog software for your company? Lest the proliferation of data catalog features and options leave you groping for someone’s leftover margarita, here’s a guide with the questions to ask to cut through the overwhelm and reach clarity.

Business Intelligence 84

Business Intelligence Software Cost-Benefit Metadata 84

Alation

FEBRUARY 13, 2020

Data catalogs have quickly become a core component of modern data management. Organizations with successful data catalog implementations see remarkable changes in the speed and quality of data analysis, and in the engagement and enthusiasm of people who need to perform data analysis. Why do we need a data catalog?

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

APRIL 26, 2023

In addition, an inventory of all assets is one of the foundational elements of an organization that facilitates the security and compliance team to audit the assets for improving privacy, security posture and mitigate risk to ensure the business operations run smoothly.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 97

Data Lake Data Warehouse Management Risk 97

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

JULY 28, 2023

The GDPR (General Data Protection Regulation) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

Occam's Razor

MAY 5, 2016

I am not, and this post is all about getting the data to show you that I am indeed not being sarcastic. Technical how-to implement enhanced code guidance (Google Tag Manager or direct). Neither wants to grow up and consider using the data available for Mitch to be smarter about advertising. Ad block: #wth.

Metrics 103

Metrics Reporting Analytics Advertising 103

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all web analytics tools. That of course will mean more referring keyword data will disappear. silverlinings.

Optimization 154

Optimization Reporting Experimentation Metrics 154

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. But due to the large scale and complexity of data, each company tends to develop its own A/B test solution to solve its unique challenges.

Testing 58

Testing Experimentation Measurement Modeling 58

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Data Architecture 97

Data Architecture Metadata Digital Transformation Finance 97

IBM Big Data Hub

SEPTEMBER 12, 2022

Enterprises are dealing with a barrage of upcoming regulations concerning data privacy and data protection, not only at the state and federal level in the US, but also in a dizzying number of jurisdictions around the world. Adopting a privacy-centric approach built around a data fabric.

Metadata 99

Metadata Data Governance Enterprise Data Architecture 99

CIO Business Intelligence

NOVEMBER 18, 2022

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value.

Unstructured Data 117

Unstructured Data Metadata Management Analytics 117

Occam's Razor

DECEMBER 3, 2008

When Michael says he is good at Analytics his stress is on his mastery of javascript tags, his rich understanding of evars and sprops and complex 60 kb Omniture tags. I feel like am an Analytics God. What would be your advice for me in terms of next steps for my career? My goal is to climb the ranks and increase my salary."

Analytics 115

Analytics Consulting Metrics Reporting 115

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. This post is written in collaboration with Philipp Karg and Alex Gutfreund from BMW Group. billion on revenues amounting to € 142.6

Dashboards 93

Dashboards Analytics Metadata Optimization 93

IBM Big Data Hub

MARCH 25, 2022

To simplify data access and empower users to leverage trusted information, organizations need a better approach that provides better insights and business outcomes faster, without sacrificing data access controls. There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate.

Metadata 115

Metadata Data Quality Data Governance Data Integration 115

erwin

APRIL 21, 2020

The easiest way to understand a data catalog is to look at how libraries catalog books and manuals in a hierarchical structure, making it easy for anyone to find exactly what they need. Similarly, a data catalog enables businesses to create a seamless way for employees to access and consume data and business assets in an organized manner.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

IBM Big Data Hub

SEPTEMBER 20, 2023

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. This makes it cost-prohibitive to scale across use cases since it would require armies of SMEs and data experts.

Modeling 90

Modeling Enterprise Software Machine Learning 90

CIO Business Intelligence

JULY 11, 2022

This article outlines the major considerations and types of solutions retailers should consider to enable fast, reliable, and secure networks and digital business. This rapid adoption of new technologies brings with it an increase in the complexity of network design and security architecture for IT teams.

Modeling 98

Modeling IoT Cost-Benefit Management 98

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. Hence, they are pursuing cloud transformation to help manage growth in data and cost. Meanwhile, data scientists and analysts need access to data.

Data Governance 52

Data Governance Insurance Risk Data-driven 52