AWS Big Data

JANUARY 15, 2025

AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster. The data in the central data warehouse in Amazon Redshift is then processed for analytical needs and the metadata is shared to the consumers through Amazon DataZone.

IoT 111

IoT Machine Learning Metadata Data-driven 111

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 97

Data Warehouse Dashboards Optimization Interactive 97

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

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 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

AUGUST 8, 2024

AppsFlyer develops a leading measurement solution focused on privacy, which enables marketers to gauge the effectiveness of their marketing activities and integrates them with the broader marketing world, managing a vast volume of 100 billion events every day. This post is co-written with Nofar Diamant and Matan Safri from AppsFlyer.

Interactive 124

Interactive Metadata Optimization Testing 124

CIO Business Intelligence

SEPTEMBER 12, 2022

Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. Fazal instructed his IT team to collect every bit of data and methodically determine its use later, rather than lose “precious” data in the rush to build a massive data warehouse. “We

Data Warehouse 115

Data Warehouse Predictive Analytics Data Lake IoT 115

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

CIO Business Intelligence

FEBRUARY 15, 2024

Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.”

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

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 111

Data Warehouse Analytics Data Lake Data Science 111

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 173

Testing Data Quality Predictive Modeling Metrics 173

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

AWS Big Data

JANUARY 8, 2024

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 134

Analytics IoT Data-driven Snapshot 134

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 104

Testing Data Warehouse Machine Learning Measurement 104

AWS Big Data

SEPTEMBER 5, 2024

Federated queries allow querying data across Amazon RDS for MySQL and PostgreSQL data sources without the need for extract, transform, and load (ETL) pipelines. If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

CIO Business Intelligence

JUNE 23, 2023

The focus here should be on considering all ways your customers currently consume data as well as new ways they might want to achieve better results. So much, in fact, that it’s worth measuring what percentage of your portfolio utilizes data and analytics as part of the offering, and tracking this over time.

Data Strategy 115

Data Strategy Strategy Visualization Consulting 115

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 96

Modeling Sales Data Warehouse Snapshot 96

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 99

Data Warehouse Cost-Benefit KPI Risk 99

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 111

Enterprise Data Warehouse Snapshot Cost-Benefit 111

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

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 129

Analytics Machine Learning Data mining Software 129

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 98

Metrics Data Warehouse Dashboards Snapshot 98

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

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 110

Data Architecture Data Integration IoT Data-driven 110

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

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 Dashboards 20

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 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

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 98

Machine Learning B2B Dashboards Measurement 98

CIO Business Intelligence

MAY 10, 2022

Data management consultancy, BitBang, says CDPs offer five key benefits : As a central hub for all your customer data, they help you build unified customer profiles. They eliminate data silos, and, unlike a traditional data warehouse, CDPs don’t require technical expertise to set up or maintain. over the period.

Advertising 121

Advertising Interactive Marketing Structured Data 121

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 97

Data Quality Metrics Visualization Dashboards 97

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 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Sisense

JANUARY 6, 2020

For sales leaders, what’s hugely empowering is the ability to slice and dice data on the fly, understand what team and individual reps should be achieving, and easily measure the team from a data driven standpoint. To achieve this, first requires getting the data into a form that delivers insights. Was it pushed?

Sales 91

Sales Forecasting Snapshot Management 91

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 73

Management Data Warehouse Interactive Reporting 73

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 98

Forecasting Data Warehouse Machine Learning Modeling 98

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 109

Data Governance Strategy Enterprise Cost-Benefit 109

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 96

Reporting Metrics Optimization Data Lake 96

Cloudera

JUNE 16, 2022

Apache Flink is a distributed processing engine for stateful computations ideally suited for real-time, event-driven applications. Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. .

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

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 93

Cost-Benefit OLAP Dashboards Visualization 93