AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 92

Data Warehouse Analytics Metrics Snapshot 92

DataKitchen

AUGUST 19, 2021

Each data source is updated on its own schedule, for example, daily, weekly or monthly. The DataKitchen Platform ingests data into a data lake and runs Recipes to create a data warehouse leveraged by users and self-service data analysts. The third set of domains are cached data sets (e.g., Conclusion.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

DECEMBER 13, 2023

A CDC-based approach captures the data changes and makes them available in data warehouses for further analytics in real-time. usually a data warehouse) needs to reflect those changes in near real-time. This post showcases how to use streaming ingestion to bring data to Amazon Redshift.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 71

Analytics Data Warehouse Data Lake Metadata 71

AWS Big Data

MARCH 25, 2024

For example, in a chatbot, data events could pertain to an inventory of flights and hotels or price changes that are constantly ingested to a streaming storage engine. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. As the amount of data ingested into the cloud increases, so does the potential that a security threat will occur.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

IBM Big Data Hub

NOVEMBER 3, 2023

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

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

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 123

Data Warehouse Dashboards Risk Management Risk 123

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 112

Analytics IoT Data-driven Snapshot 112

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

CIO Business Intelligence

AUGUST 17, 2023

But with cloud, there could be an event that causes your consumption to spiral and then tomorrow you have to go back to the CFO and explain you need another R2 million.” He cites a data management project he’s currently working on, which is a key component in his current IT transformation strategy. It was that simple.”

Data Warehouse 88

Data Warehouse Cost-Benefit Digital Transformation Strategy 88

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 95

Management Data Warehouse Metrics Dashboards 95

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 86

Metrics Slice and Dice Data Warehouse Dashboards 86

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. In all the use cases we are trying to migrate a table named “events.”

Snapshot 70

Snapshot Metadata Data Warehouse Optimization 70

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

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 116

Data Warehouse Predictive Analytics Data Lake IoT 116

DataRobot Blog

MARCH 8, 2023

Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes. Registration is free for both events. 16 th and on-demand Visit datarobot.com/partners/technology-partners/sap DataRobot Launch Event From Vision to Value. Tune in to learn more.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 137

Data mining Data-driven Statistics OLAP 137

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 84

Data Warehouse Analytics Metadata Dashboards 84

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. To get started, we need an Amazon Redshift Serverless data warehouse with the Redshift ML feature enabled and an Amazon SageMaker Studio environment with access to SageMaker Feature Store.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

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 139

Machine Learning Cost-Benefit Data-driven Strategy 139

CIO Business Intelligence

JUNE 13, 2022

The starting point was XANTAS’ existing SAP-based clinical data warehouse named VISMEDICA. The clinical data warehouse analysis is available 24 hours a day, seven days a week, both online and via text. SAP HANA provided the toolbox for the various functions. Power of knowledge. Clinical decision support is not new.

Data Warehouse 94

Data Warehouse Software Manufacturing Machine Learning 94

CIO Business Intelligence

SEPTEMBER 10, 2022

“We moved our major data platforms to the cloud and implemented data hubs for Customer and Operations,” Mohan says. Mohan notes that her team simultaneously created DataOps frameworks that have improved the airline’s ability to ingest and consume new data sources in a matter of hours rather than weeks.

Analytics 142

Analytics Machine Learning Digital Transformation Data Warehouse 142

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards 75

Dashboards Data Warehouse Visualization Data Processing 75

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. AWS Glue is a fully managed ETL service that makes it easy to prepare and load data for analysis.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

CIO Business Intelligence

OCTOBER 19, 2023

Handling streaming data Streaming data is continuous and unending, and consists of an uninterrupted sequence of recorded events. Traditional batch processing techniques are designed for static datasets with well-defined beginnings and ends, making it difficult to work on streaming data that flows uninterruptedly.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

IBM Big Data Hub

OCTOBER 30, 2023

Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Insurance 82

Insurance Data Warehouse Data-driven Unstructured Data 82

Ontotext

APRIL 10, 2024

“Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.”

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 109

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 109

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies.

Strategy 116

Strategy Digital Transformation Cost-Benefit Forecasting 116

Alation

APRIL 14, 2023

People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys. In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. In “The modern data stack is dead, long live the modern data stack!”

Data Warehouse 52

Data Warehouse Digital Transformation Data-driven Metadata 52

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

Data Lake 69

Data Lake Cost-Benefit Dashboards Data Warehouse 69

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. Your spanking new modern data warehouse doesn’t need dirty, antiquated or otherwise irrelevant data. Dispose of.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis.

Cost-Benefit 116

Cost-Benefit Internet of Things Data-driven Data Lake 116