Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

datapine

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Build a data management roadmap. Data Analysis In The Big Data Environment.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. Lake Formation – Lake Formation emerged as a cornerstone in Bluestone’s data governance strategy.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

Alation

MAY 19, 2022

Gartner shared that organizations today are using active metadata to enable data fabric , identify data drift , and locate new categories of data. Leverage small data. It’s not just about big data anymore! So what should people struggling with low-quality data do? Data Governance.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

AWS Big Data

APRIL 25, 2024

This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. This makes sure the raw and processed data can be maintained securely separated across multiple accounts, if required, for enhanced data governance and security.

Metadata 104

Metadata Data Processing Management Testing 104

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

Cloudera

SEPTEMBER 6, 2022

Disaggregated silos: With highly atomized data assets and minimal enterprise data governance, chief data oofficers are being tasked with identifying processes that can reduce liability and offer levers to better control security and costs. There are three major architectures under the modern data architecture umbrella. .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Octopai

JANUARY 31, 2021

This podcast centers around data management and investigates a different aspect of this field each week. Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. Malcolm Chisholm.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

TDAN

MAY 31, 2022

In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] 1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

datapine

DECEMBER 11, 2019

Improved data governance: Vertical SaaS is positioned to address data governance procedures via the inclusion of industry-specific compliance capabilities, which has the additional benefit of providing increased transparency. 6) Micro-SaaS. The seventh in our definitive rundown of SaaS trends comes in the form of policy.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Maybe your company already utilizes analytics but isn’t giving due diligence to data quality control.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. 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.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

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 85

Data-driven Advertising Metadata Data Architecture 85

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). awsAccessKey=s3-spark-user/HOST@REALM.COM. awsSecret=08b6328818129677247d51.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

AWS Big Data

MARCH 27, 2023

Data producers can use the data mesh platform to create datasets and share them across business teams to ensure data availability, reliability, and interoperability across functions and data subject areas. The data mesh producer account hosts the encrypted S3 bucket, which is shared with the central governance account.

Data Lake 85

Data Lake Data-driven Management Data Architecture 85

AWS Big Data

DECEMBER 21, 2023

The following diagram shows the high-level data platform architecture before the optimizations. Evolution of the data platform requirements smava started with a single Redshift cluster to host all three data stages. They chose provisioned cluster nodes of the RA3 type with Reserved Instances (RIs) for cost optimization.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

IBM Big Data Hub

MAY 28, 2024

That plan might involve switching over to a redundant set of servers and storage systems until your primary data center is functional again. A third-party provider hosts and manages the infrastructure used for disaster recovery. Disaster recovery as a service (DRaaS) is a managed approach to disaster recovery.

Strategy 82

Strategy Measurement Risk Cost-Benefit 82

AWS Big Data

AUGUST 16, 2023

Solution overview For our example use case, a customer uses Amazon EMR for data processing and Iceberg format for the transactional data. They store their product data in Iceberg format on Amazon S3 and host the metadata of their datasets in Hive Metastore on the EMR primary node.

Data Lake 78

Data Lake Metadata Snapshot Management 78

IBM Big Data Hub

FEBRUARY 23, 2024

Organizations can ensure that users see their policies by sharing privacy notices at the point of data collection. Organizations can also host their privacy policies on public, easy-to-find pages on their websites. The GDPR also directs companies to adopt the principle of data protection by design and by default.

Measurement 75

Measurement Risk Data Collection Data Processing 75

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. The field of big data is going to have massive implications for healthcare in the future. Big Data is Driving Massive Changes in Healthcare. Big data analytics: solutions to the industry challenges. Big data capturing.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

AWS Big Data

FEBRUARY 19, 2024

Collaborate on live data with ease The are times when two teams use different warehouses for data governance, compute performance, or cost reasons, but also at times need to write to the same shared data. We use the publicly available 10 GB TPCH dataset from AWS Labs, hosted in an S3 bucket.

Cost-Benefit 85

Cost-Benefit Data Warehouse Marketing Interactive 85

IBM Big Data Hub

JANUARY 22, 2024

Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business. A company can be both a controller and a processor, like a company that both collects phone numbers and uses them to send marketing messages.

Measurement 80

Measurement Risk Data Processing Data Collection 80

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Trust and data governance Data governance isn’t new, especially in the financial world.

Cost-Benefit 91

Cost-Benefit Metadata Data Governance Reporting 91

IBM Big Data Hub

JANUARY 9, 2024

Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues. The groundwork of training data in an AI model is comparable to piloting an airplane. The entire generative AI pipeline hinges on the data pipelines that empower it, making it imperative to take the correct precautions.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See The Future of Data and Analytics: Reengineering the Decision, 2025. Do you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

APRIL 11, 2024

We recommend that these hackathons be extended in scope to address the challenges of AI governance, through these steps: Step 1: Three months before the pilots are presented, have a candidate governance leader host a keynote on AI ethics to hackathon participants.

Risk 74

Risk Consulting Modeling Data Processing 74

IBM Big Data Hub

OCTOBER 16, 2023

However, the laws may make an organization’s compliance even more difficult when there are multiple domestic data privacy statutes to juggle across the countries. Different legal requirements regarding data security, privacy and breach notification could occur, depending on where the data is being hosted or who is controlling it.

Cost-Benefit 65

Cost-Benefit Data Governance Risk Data-driven 65

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. Will it be implemented on-premises or hosted using a cloud platform? What types of features do AI platforms offer?

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

IBM Big Data Hub

JUNE 15, 2023

watsonx.data is truly open and interoperable The solution leverages not just open-source technologies, but those with open-source project governance and diverse communities of users and contributors, like Apache Iceberg and Presto, hosted by the Linux Foundation. This provides further opportunities for cost optimization.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86