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 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

Machine Learning 144

Machine Learning Cost-Benefit Data-driven Strategy 144

IBM Big Data Hub

OCTOBER 30, 2023

By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

Octopai

FEBRUARY 20, 2022

Deciding to migrate your data from legacy, on-prem databases to a cloud-based data warehouse like Snowflake is often a step in the right direction. Use this map as a Snowflake migration tool to plan your migration and design effective data pipelines for the Snowflake system. Dispose of.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

Cloudera

JANUARY 27, 2021

SOC 2 is a technical auditing and certification process that measures a service’s security and availability and assures customers that CDP Public Cloud is managed in a controlled and audited environment. Active monitoring for intrusion events and security incident handling. Data backup and disaster recovery. What’s Next?

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 77

Risk Modeling Management Metadata 77

datapine

NOVEMBER 19, 2019

Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. Popularity is not just chosen to measure quality, but also to measure business value. Discovery and documentation serve as key features in collaborative BI.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

CDW Research Hub

JULY 29, 2019

When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Snowflake is an analytic data warehouse provided as Software as a Service (SaaS). Snowflake Elevated Accounts. Introduction. Organization.

Data Warehouse 74

Data Warehouse Measurement Testing Publishing 74

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

Sisense

DECEMBER 23, 2019

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. EventBridge picks up the event from AWS Glue and triggers an AWS Lambda function.

Reporting 69

Reporting Metrics Optimization Data Lake 69

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

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

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

datapine

NOVEMBER 19, 2019

Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. Popularity is not just chosen to measure quality, but also to measure business value. Discovery and documentation serve as key features in collaborative BI.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 80

Metrics Data Warehouse Dashboards Snapshot 80

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

CIO Business Intelligence

OCTOBER 19, 2023

What-if parameters also create calculated measures you can reference elsewhere. Smart Narratives pull out key takeaways and trends in your data and wrap them with autogenerated text to build data stories. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

Cloudera

MAY 13, 2021

In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. We might find the root cause by realizing that a problem recurs at a particular time, or coincides with another event. . Data Engineering jobs (optional). Primary Workload .

Management 69

Management Data Warehouse Interactive Reporting 69

AWS Big Data

MARCH 26, 2024

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

DECEMBER 22, 2022

According to the DataOps Manifesto , DataOps teams value analytics that work, measuring the performance of data analytics by the insights they deliver. The approach values continuous delivery of analytic insights with the primary goal of satisfying the customer. They also note DataOps fits well with microservices architectures.

Analytics 130

Analytics Machine Learning Software Data Quality 130

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing data volumes and velocity can reduce the speed that teams make additions or changes to the analytical data structures at data integration points — where data is correlated from multiple different sources into high-value business assets. For data warehouses, it can be a wide column analytical table.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. The number of use cases supported by a single Kafka topic is a better indicator than a raw measure of volume like events per second.

Data-driven 75

Data-driven Enterprise IoT Data Warehouse 75

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. Data is on the move. Upcoming Events. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

JANUARY 24, 2011

After following a structured process to create a Web Analytics Measurement Model most companies find that they are able to identify the goals for their web business. You'll need to look in your corporate data warehouses. I track that click as a Goal (using Event Tracking ). Sorry, OOD. Let that sink in.

Analytics 122

Analytics Finance B2B ROI 122

DataRobot Blog

MARCH 28, 2023

Now, more than ever, we know you and your AI teams are under pressure to drive significant and measurable business outcomes from your AI investments. DataRobot Launch Event From Vision to Value. And you can’t go it alone. In our recent announcement, From Vision to Value. This is just the beginning of what we’re working on at DataRobot.

Digital Transformation 52

Digital Transformation Consulting Data Warehouse Strategy 52

CIO Business Intelligence

AUGUST 2, 2022

“The strategy that we want to go forward with is self-service analytics: how can we empower users on the factory floor so that they don’t need to rely on a data scientist or analyst to get insights? I think that’s going to be an important step towards having more robust machine learning models as well.

Machine Learning 96

Machine Learning B2B Dashboards Measurement 96

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 104

Cost-Benefit OLAP Dashboards Visualization 104

Cloudera

SEPTEMBER 23, 2022

Should an issue arise, it is up to this cloud ops team to apply corrective measures. . And finally, all activity is captured and logged into the CDP One security information and event management system for full auditing, security alerting, and activity transparency. The CDP One data lakehouse is continuously monitored for availability.

Data Governance 104

Data Governance Strategy Enterprise Cost-Benefit 104

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Open the function and configure a test event, with the default hello-world template event JSON as seen in the following screenshot.

Data Lake 71

Data Lake Testing Snapshot Sales 71