Andrew White

DECEMBER 9, 2019

This was a great inquiry since it called into question the perceived wisdom peddled by some that cataloging everything was a prerequisite for data (and analytics) governance. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata. The use case, and.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

JUNE 6, 2023

As most organizations, that have turned to Google Analytics (GA) as a digital analytics solution, mature they discover a more pressing need to integrate this data silo with the rest of their organization’s data to enable better analytics and resulting product development and fraud detection.

Analytics 55

Analytics Data Lake Testing Optimization 55

DataKitchen

AUGUST 9, 2021

The data mesh is focused on building trust in data and promoting the use of data by business users who can benefit from it. In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data.

Testing 246

Testing Data Lake Metadata Publishing 246

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. From Data to Data-Powered Apps.

Analytics 75

Analytics Data-driven Dashboards IoT 75

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

JANUARY 18, 2022

More specifically, judges were looking for submissions related to people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and related areas. Winner of the Data Impact Awards 2021: People First.

Data Lake 96

Data Lake Digital Transformation Data-driven Dashboards 96

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Jon finds the existing Dashboard and selects it, to view the dashboard contents. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

IBM Big Data Hub

OCTOBER 16, 2023

How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools. A data store lets a business connect existing data with new data and discover new insights with real-time analytics and business intelligence.

Risk 70

Risk Modeling Management Metadata 70

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Rita Sallam

AUGUST 17, 2016

Just yesterday, Saleforce announced its intention to buy smart data discovery vendor, BeyondCore, a new Visionary entrant to this year’s BI and Analytics Magic Quadrant ! Salesforce plans to integrate BeyondCore into the Analytics Wave platform and thus Wave analytic applications for Sales, Service and Marketing to come.

Scorecard 40

Scorecard Visualization Sales Marketing 40

Cloudera

JANUARY 21, 2021

Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate. But – you need those mission critical analytics services, and you need them now! . When your IT admin registers an environment in CDP, a Data Lake is automatically deployed.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

AWS Big Data

MAY 7, 2024

Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 75

Metadata Data Lake Data Processing Data-driven 75

Sisense

JANUARY 15, 2021

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. It’s no secret that data teams are becoming indispensable to organizations.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

AWS Big Data

MARCH 5, 2024

Amazon EMR Studio is a unified data analysis environment where you can develop data engineering and data science applications. It shows how to propagate Okta identities to Athena and Lake Formation to provide granular access controls on queries and data. For Users and groups , select Data-Engineer.

Data Lake 85

Data Lake Management Dashboards Data-driven 85

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. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Data Lake 77

Data Lake Cost-Benefit Digital Transformation Risk 77

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 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 77

Data-driven Data Lake Data Warehouse Cost-Benefit 77

CIO Business Intelligence

MAY 26, 2022

His team used the H2O MLOps platform and other tools to create a health dashboard for the model. The health dashboard lets us understand if the system has shifted.”. To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 138

Machine Learning Modeling Data-driven Dashboards 138

CIO Business Intelligence

MAY 28, 2022

His team used the H2O MLOps platform and other tools to create a health dashboard for the model. The health dashboard lets us understand if the system has shifted.”. To ensure the success of an MLOps project, you need both data engineers and data scientists on the same team,” Zuccarelli says.

Machine Learning 124

Machine Learning Modeling Data-driven Dashboards 124

CDW Research Hub

DECEMBER 4, 2019

Cloud-based data warehouses can also perform complex analytical queries much faster due to the use of massively parallel processing (MPP), which uses multiple processors—each with its own operating system and memory—to simultaneously perform a set of coordinated computations.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

CIO Business Intelligence

NOVEMBER 28, 2023

While industry research estimates that as much as 90% of enterprise data is unstructured, 61% of IT leaders say managing unstructured data is a problem for their organization, with another 24% not even including unstructured data on their data and analytics short list, according to research from Foundry.

Unstructured Data 120

Unstructured Data Data-driven Visualization Data Quality 120

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Leverage of Data to generate Insight. In this second area we have disciplines such as Analytics and Data Science.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Cloudera

NOVEMBER 29, 2021

Carrefour Spain , a branch of the larger company (with 1,250 stores), processes over 3 million transactions every day, giving rise to challenges like creating and managing a data lake and honing down key demographic information. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

Alation

FEBRUARY 13, 2020

.” Part of GoDaddy’s transformation was to get the right customer data consolidated in one place and make it accessible to every employee for data-driven decision making. This meant a large Hadoop deployment, self-service analytics tools available to every employee with Tableau, and a data catalog from Alation.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 87

Reporting Data Lake Management Optimization 87

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Domino Data Lab

JUNE 15, 2021

These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. The typical data science journey for a company starts with a small team that is tasked with a handful of specific problems.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

MAY 9, 2023

A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Optimized for all data, analytics and AI workloads, watsonx.data combines the flexibility of a data lake with the performance of a data warehouse, helping businesses to scale data analytics and AI anywhere their data resides.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Alation

SEPTEMBER 23, 2021

The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset. It offers a broad range of data intelligence solutions, including analytics, data governance, privacy, and cloud transformation. Analytical environments are increasingly complex.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

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. Regular facts are subject to data quality issues, or manipulation by creative humans.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Cloudera

OCTOBER 11, 2021

Modak’s Nabu is a born in the cloud, cloud-neutral integrated data engineering platform designed to accelerate the journey of enterprises to the cloud. Modak empowers organizations to maximize their ROI from existing analytics infrastructure through interoperability. Cloud Speed and Scale.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

Birst BI

OCTOBER 24, 2019

Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. How does DaaS fit into this architecture?

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Andrew White

JANUARY 11, 2021

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. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52