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 82

Metrics Slice and Dice Data Warehouse Dashboards 82

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. They should also provide optimal performance with low or no tuning.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

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 69

Snapshot Metadata Data Warehouse Testing 69

IBM Big Data Hub

OCTOBER 30, 2023

IBM and AWS partnership focuses on delivering solutions in areas like: Supply chain optimization with AI-infused Planning Analytics IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

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 111

Analytics IoT Data-driven Snapshot 111

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 144

Data mining Data-driven Statistics OLAP 144

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 110

Data Warehouse Cost-Benefit Sales Data-driven 110

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 88

Data Lake Unstructured Data Management Modeling 88

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 80

Experimentation Data Warehouse Dashboards Visualization 80

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 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

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

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

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. Develop a map of your ideal, streamlined, optimized data flow. Your spanking new modern data warehouse doesn’t need dirty, antiquated or otherwise irrelevant data.

Data Warehouse 92

Data Warehouse Optimization Measurement Visualization 92

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 93

Management Data Warehouse Metrics Dashboards 93

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 96

Data Warehouse Testing Data Lake Data-driven 96

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data.

Data Lake 111

Data Lake Analytics Dashboards Metrics 111

CIO Business Intelligence

SEPTEMBER 8, 2022

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. Advanced analytics can enhance events with scoring models, expanded business rules, or even new data.”.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

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 103

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 103

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 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

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. jobs because this feature will help reduce cost and optimize your ETL jobs.

Reporting 68

Reporting Metrics Optimization Data Lake 68

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). What Is Financial Intelligence? Today’s technology takes this evolution a step further.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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 78

Risk Modeling Management Metadata 78

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CDW Research Hub

JULY 2, 2021

This provides near-real-time data activity monitoring and protection capabilities for Database as a Service (DBaaS) sources, such as AWS Kinesis and Azure Event Hubs. GDP is a leading data security platform for databases and data warehouses.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. What are WebSockets and why do we need them?

Analytics 58

Analytics Data-driven Management Reporting 58

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. An enterprise data ecosystem architected to optimize data flowing in both directions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Your platform should be able to effortlessly connect to numerous large datasets: cloud-native data warehouses and data lakes with millions or billions of rows.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

datapine

NOVEMBER 19, 2019

Let’s picture an ambiance where business users can make use of a business intelligence and analysis portal and view the popular data that can be rated, shared, and commented on. It provides insight for IT and BI teams to standardize data and content in addition to providing high quality, certified, and curated data to the users.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

Timo Elliott

MARCH 6, 2023

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty Digital Transformation 111

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. The timestamp clause lets us travel back without altering current data.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. This new approach has proven to be much more effective, so it is a skill set that people must master to become data scientists. Where to Use Data Science? Practical experience.

Data mining 143

Data mining Data Science Informatics Statistics 143

Smart Data Collective

JULY 20, 2021

10 Panoply: In the world of CRM technology, Panoply is a data warehouse build that automates data collection, query optimization and storage management. This tool will help you to sync and store data from multiple sources quickly. With this tool, data transfer is faster and dynamic.

Sales 141

Sales Big Data Marketing Software 141

CIO Business Intelligence

JUNE 7, 2023

Uber gathers driver, rider, and partner data in the moment and then updates a prediction engine that informs customers about wait times or suggests routes to drivers in real time. FedEx aggregates billions of package events to optimize operations and instantly share visibility with its customers on delivery status.

Machine Learning 52

Machine Learning Modeling Data Warehouse Statistics 52

Jet Global

JUNE 5, 2019

Essentially, data mining is the process of extracting data from different sources (such as retail point of sale software, logistics management tools, and IoT-equipped manufacturing machinery), analyzing it, and summarizing it with reports or dashboards that can help businesses gain insight into their operations.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

Cloudera

MAY 16, 2019

Coming up, Cloudera will be featured at Informatica World (global customer event) in Las Vegas. The conference provides a useful opportunity to reflect on the rapid evolution we’ve seen in the Data Integration and Management space, much of it driven by the innovations that Cloudera and the open source community have been delivering.

Analytics 40

Analytics Data Warehouse Data-driven Data Integration 40

IBM Big Data Hub

NOVEMBER 8, 2023

TL2 — building on Power10’s high availability leadership with performance and scale enhancements to Live Kernel Update (designed to give the ability to update AIX without unplanned downtime), optimized file system performance and enhancements designed to improve AIX encryption performance and audit event checking.

Strategy 99

Strategy Cost-Benefit Digital Transformation Data-driven 99