CIO Business Intelligence

MARCH 18, 2024

Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform. The lab, housed in a county office building, will pull members from multiple departments, including the county’s data team and architecture team.

Risk 121

Risk Cost-Benefit Data Processing Testing 121

AWS Big Data

JUNE 8, 2023

For Host , enter events.PagerDuty.com. Choose Send test message and test to make sure you receive an alert on the PagerDuty service. This notification can be safely acknowledged and resolved from PagerDuty because this is was a test. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services.

Data Lake 82

Data Lake Dashboards Metrics Testing 82

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). About the authors Sivaprasad Mahamkali is a Senior Streaming Data Engineer at AWS Professional Services.

Metadata 91

Metadata Data Lake Visualization Data Transformation 91

AWS Big Data

NOVEMBER 8, 2023

They recently needed to do a monthly load of 140 TB of uncompressed healthcare claims data in under 24 hours after receiving it to provide analysts and data scientists with up-to-date information on a patient’s healthcare journey. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 79

Data Lake Testing Interactive Unstructured Data 79

CIO Business Intelligence

FEBRUARY 10, 2023

But for two years, we were testing limits within the public cloud.” While managing unstructured data remains a challenge for 36% of organizations, according to the 2022 Foundry Data and Analytics Research survey, many IT leaders are actively seeking ways of harnessing all types of data stored in data lakes.

Unstructured Data 104

Unstructured Data Data Lake Machine Learning Enterprise 104

CIO Business Intelligence

APRIL 9, 2024

Beginning in 2021, the Minneapolis-based Microsoft partner helped Dairyland migrate from several custom legacy applications to a commercial implementation of Dynamics 365 and an Azure data lake, which set the stage for the power company’s early foray into AI, according to the systems integrator.

Digital Transformation 82

Digital Transformation Machine Learning Data Lake Software 82

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 83

Data Lake Data Analytics Analytics Data Processing 83

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. You need to determine if you are going with an on-premise or cloud-hosted strategy. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

JUNE 5, 2023

The flow he built differentiates between test or true API call before initiating a secure log in. Completeness is estimated by comparing a test result with “estimated total.” RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. The brilliant part comes next.

Testing 75

Testing Data Lake Data Processing IT 75

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 137

Management Advertising Data Lake Sales 137

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 97

Management Advertising Data Lake Sales 97

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 103

Statistics Data Lake Optimization Data-driven 103

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Well, let’s find out. Artificial intelligence (AI). Easy to use.

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources.

Analytics 97

Analytics Data Lake Management Enterprise 97

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 96

Metrics Statistics Testing Data Lake 96

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 91

Data-driven Data Lake Machine Learning Cost-Benefit 91

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 100

Data Warehouse Snapshot Data Processing Management 100

DataRobot Blog

MARCH 7, 2023

DataRobot on Azure accelerates the machine learning lifecycle with advanced capabilities for rapid experimentation across new data sources and multiple problem types. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database. There are multiple tables related to customers and order data in the RDS database.

Metadata 123

Metadata Visualization Data Lake Data-driven 123

Alation

FEBRUARY 20, 2020

I’ll be there with the Alation team sharing our product and discussing how we can partner with you to drive data literacy in your organization. We have a new demo of how Alation automatically catalogs the data lake using ThinkBig’s Kylo initiative. Host: Oliver Ratzesberger, Teradata EVP and Chief Product Officer.

Enterprise 52

Enterprise Data Processing Data Lake Insurance 52

AWS Big Data

FEBRUARY 16, 2023

As a QuickSight administrator, you can use AWS CloudFormation templates to migrate assets between distinct environments from development, to test, to production. Create an Amazon Redshift data source in AWS CloudFormation In this step, we add the AWS::QuickSight::DataSource section of the CloudFormation template.

Data Warehouse 83

Data Warehouse Sales Visualization Data Processing 83

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. How you can get started today Test out watsonx.ai and watsonx.data for yourself with our watsonx trial experience. Within the watsonx.ai

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

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. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

AWS Big Data

JUNE 13, 2023

Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor. Test the application Let’s invoke the application you have created to seamlessly sign in to QuickSight using the following URL. Vamsi Bhadriraju is a Data Architect at AWS.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you differentiate between governance of raw data and enhanced data (information)? Where do you govern? If so, to what capacity?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. After you install the data extraction agent, register it in AWS SCT.

Data Warehouse 88

Data Warehouse Data Processing Data Lake Management 88

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 88

Publishing Dashboards Visualization Management 88

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Next, identify the data sources that will be involved in the mapping. Finally, test and automate your data mapping process.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52