AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China). Sharing data using LF-tags helps scale permissions and reduces the admin work for data lake builders.

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

AWS Big Data

MARCH 21, 2024

However, it can be challenging to set up a Kafka cluster along with other data processing components that scale automatically depending on your application’s needs. You risk under-provisioning for peak traffic, which can lead to downtime, or over-provisioning for base load, leading to wastage. Lambda seamlessly works with Amazon MSK.

Data Lake 100

Data Lake Management Modeling Optimization 100

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. And doing so requires taking risks , he says, something he believe IT leaders must embrace to succeed today.

Risk 140

Risk Manufacturing Enterprise Technology 140

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Regulations and compliance requirements, especially around pricing, risk selection, etc., Newer methods can work with large amounts of data and are able to unearth latent interactions.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 71

Analytics Data Warehouse Data Lake Data-driven 71

CIO Business Intelligence

SEPTEMBER 8, 2022

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

AWS Big Data

NOVEMBER 17, 2023

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Grouping after joining means a large number of records have to participate the join before being aggregated.

Optimization 116

Optimization Statistics Metadata Data Lake 116

IBM Big Data Hub

JUNE 14, 2023

Hear expert insights and technical experiences during IBM watsonx Day Solving the risks of massive datasets and re-establishing trust for generative AI Some foundation models for natural language processing (NLP), for instance, are pre-trained on massive amounts of data from the internet.

Modeling 89

Modeling Data Lake Enterprise Deep Learning 89

Cloudera

JULY 18, 2018

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. The Ember platform is web and mobile-enabled to enhance collaboration and interaction between health providers and patients.

Machine Learning 50

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 50

Ontotext

MARCH 8, 2023

Graphs reconcile such data continuously crawled from diverse sources to support interactive queries and provide a graphic representation or model of the elements within supply chain, aiding in pathfinding and the ability to semantically enrich complex machine learning (ML) algorithms and decision making.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Even more information about erwin Data Modeler.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

APRIL 19, 2023

Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. To configure AWS CLI interaction with AWS, refer to Quick setup. He is passionate about big data and data analytics. Amol Guldagad is a Data Analytics Consultant based in India. X Python 3.8

Metadata 82

Metadata Testing Data Lake Consulting 82

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Somehow, the gravity of the data has a geological effect that forms data lakes.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 100

Risk Data Lake Marketing Interactive 100

Cloudera

JANUARY 30, 2023

By 2025, it’s estimated that the amount of data created, consumed, and stored will reach 180 zettabytes , with up to 90% of that unstructured and nearly all of it unused for decision making. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 80

IoT Data Architecture Data Lake Machine Learning 80

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers. Data for Good.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity.

Data Warehouse 111

Data Warehouse Visualization Cost-Benefit Optimization 111

Cloudera

MAY 16, 2018

This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system. However, in this case, that output is ingested into a data lake.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

AWS Big Data

MARCH 29, 2024

We also lacked a data buffer, risking potential data loss during outages. Such constraints impeded innovation and increased risks. The loose coupling between event publishers and subscribers empowered teams to focus on distinct domains, such as data ingestion, identification services, and data lakes.

Cost-Benefit 94

Cost-Benefit Data-driven Metrics Management 94

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments.

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

datapine

APRIL 15, 2020

17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. That way, your feedback cycle will be much shorter, workflow more effective, and risks minimized. Accept change.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Alation

MARCH 1, 2022

Airline Reporting Corporation (ARC) sells data products to travel agencies and airlines. Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed).

Data Warehouse 52

Data Warehouse Data Lake Risk Data-driven 52

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

CIO Business Intelligence

APRIL 27, 2022

IAM must be balanced for three things — speed, risk, and usability. However, speed must be balanced with each organization’s unique risks. While the right IAM structure can reduce risk, insufficient IAM can increase risk. . While the right IAM structure can reduce risk, insufficient IAM can increase risk. .

Management 52

Management Risk Contextual Data Cost-Benefit 52

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. BI dashboards typically display a variety of data visualizations to give users a comprehensive view of relevant KPIs and trends for both strategic planning and operational decision-making.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Cloudera

NOVEMBER 18, 2020

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. . Data Champions . The policy-based framework also provides an efficient way to provide data access to end-users. Winner: OVO.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. Additionally, scalability of the dimensional model is complex and poses a high risk of data integrity issues.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Cloudera Manager (CM) 6.2

Metadata 85

Metadata Data Lake Optimization Strategy 85

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Supports the ability to interact with the actual data and perform analysis on it. For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

JUNE 12, 2023

By harnessing the power of streaming data, organizations are able to stay ahead of real-time events and make quick, informed decisions. With the ability to monitor and respond to real-time events, organizations are better equipped to capitalize on opportunities and mitigate risks as they arise.

Management 81

Management Metadata Testing Internet of Things 81

Domino Data Lab

AUGUST 8, 2019

The probabilistic nature changes the risks and process required. I’d also poured over recent talks by Chris Wiggins about data and ethics. To wit: data science is a team sport. Diversity matters in data science, and is often the competitive edge for solving complex problems in business. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. All of these are processes which can introduce their own errors.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 77

Data Strategy Strategy IT Contextual Data 77

AWS Big Data

JUNE 15, 2023

Amazon EMR is a top-tier cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. self-signed-certs.zip – The openSSL self-signed certificates used by AWS CloudFormation to encrypt data in transit.

Data Lake 89

Data Lake Big Data Management Testing 89