Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Improved scalability and agility. A phased approach to modernization.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 90

Metadata Data Lake Visualization Data Transformation 90

Alation

JUNE 23, 2023

That’s going to be the view at the highly anticipated gathering of the global data, analytics, and AI community — Databricks Data + AI Summit — when it makes its grand return to San Francisco from June 26–29. Just having data doesn’t mean your organization is equipped to make critical data-driven decisions.

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”.

IT 69

IT Cost-Benefit Data-driven Technology 69

datapine

AUGUST 20, 2019

Consumer data: Data transmitted by customers including, banking records, banking data, stock market transactions, employee benefits, insurance claims, etc. Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

MAY 16, 2024

Apache Airflow is a popular platform for enterprises looking to orchestrate complex data pipelines and workflows. In this post, we’re excited to introduce two new features that address common customer challenges and unlock new possibilities for building robust, scalable, and flexible data orchestration solutions using Amazon MWAA.

Testing 89

Testing Interactive Metrics Management 89

AWS Big Data

OCTOBER 3, 2023

You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving. Launch the notebooks hosted under this link and unzip them on a local workstation. Open AWS Glue Studio.

Data Lake 105

Data Lake Metadata Snapshot Recreation/Entertainment 105

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. Solutions Review.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Alation

JANUARY 20, 2022

To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Quality policies for data and analytics set expectations about the “fitness for purpose” of artifacts across various dimensions. These items become in scope for the data quality program.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Software development has made great strides in terms of saving thanks to Big Data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Jedox

APRIL 30, 2020

Flexibility is an absolute must for your planning solution to support a Sales Compensation Model, as well as extensive analytic and reporting capabilities. Let’s dive deeper: Data integration. Reporting and analytics. Paying sales teams accurately is the primary objective of any sales compensation software.

Sales 52

Sales Management Reporting Interactive 52

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. This may also entail working with new data through methods like web scraping or uploading.

Enterprise 78

Enterprise Data Integration Data Quality Contextual Data 78

Smart Data Collective

OCTOBER 26, 2023

The threat of cyber-attacks is expanding across all industries, affecting government agencies, banks, hospitals, and enterprises. This process requires enterprise-specific security procedures, policies, and techniques to be developed and implemented. They also uphold relevant regulations and protect systems, data, and communications.

Technology 91

Technology Risk Measurement IoT 91

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. Analytics as a Service (AaaS). The importance of customer analytics cannot be overstated in today’s world.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

AWS Big Data

FEBRUARY 21, 2024

Amazon MSK serves as a highly scalable, and fully managed service for Apache Kafka, allowing for seamless collection and processing of vast streams of data. Integrating streaming data into Amazon Redshift brings immense value by enabling organizations to harness the potential of real-time analytics and data-driven decision-making.

Analytics 110

Analytics Management Data-driven Data Integration 110

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Process Analytics. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Ontotext

OCTOBER 28, 2021

FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs. Semantic Data Integration With GraphDB. Today, users from the general public, journalists, etc.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

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. For Host , enter the Redshift Serverless endpoint’s host URL. This is optional.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). for DG adoption in the enterprise. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. There are several styles of data integration.

Cost-Benefit 71

Cost-Benefit Data Integration Data Architecture Manufacturing 71

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. – This is a question for our data security team.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning. Ventana Research’s Menninger agrees. “At

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

IBM Big Data Hub

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence.

Strategy 111

Strategy Cost-Benefit Data-driven Measurement 111

CIO Business Intelligence

AUGUST 16, 2023

Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. The Azure deployment gives companies a private instance of the chatbot, meaning they don’t have to worry about corporate data leaking out into the AI’s training data set.

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

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. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Introducing “-Trusted AI” Enter “Trusted AI.” Track market trends.

Insurance 79

Insurance Risk Data-driven Finance 79

Cloudera

APRIL 14, 2021

Precisely Data Integration, Change Data Capture and Data Quality tools support CDP Public Cloud as well as CDP Private Cloud. We believe customized engine images would allow greater flexibility to our partners to build cloud-native integrations and could potentially be leveraged by our enterprise customers as well.

Data Warehouse 79

Data Warehouse Data Processing Data Quality Machine Learning 79

Alation

JANUARY 17, 2023

This shift addresses a growing demand for data access, which the modern data stack enables with cloud-based services and integration. There has also been a paradigm shift toward agile analytics and flexible options, where data assets can be moved around more quickly and easily, and not locked into a single vendor.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. Today, lawmakers impose larger and larger fines on the organizations handling this data that don’t properly protect it.

Data Governance 52

Data Governance Measurement Metrics Modeling 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. Clean the data. Clean data in, clean analytics out. Ensure data literacy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. In the Enterprise Data Management realm, such a data domain is called an Authoritative Data Domain (ADD).

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

In(tegrate) the Clouds

MAY 1, 2016

SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are: Storage and Data Formats. Transformation and Analytics. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen.

Data Lake 40

Data Lake Enterprise Management Metadata 40

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Technology 143

Technology Enterprise Consulting Software 143

FineReport

MARCH 31, 2024

Acting as a comprehensive solution, the best BI tools collect and analyze company data to generate easily interpretable graphs, reports, and charts , leveraging advanced data mining, analytics, and visualization techniques. Pricing might be relatively high for customers with fewer users. Try FineBI Now 3.3

Dashboards 52

Dashboards Visualization Data mining Data-driven 52