AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 91

IoT Analytics Dashboards Data-driven 91

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. In this way, the analytic applications are able to turn the latest data into instant business insights. Partition Strategy. Low Maintenance.

Data Warehouse 72

Data Warehouse Cost-Benefit Metadata Management 72

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. Analytical Velocity: CDP offers experiences that can meet different analytical velocity requirements e.g., batch or real-time analytics. Introduction.

Strategy 98

Strategy Cost-Benefit Visualization Data Warehouse 98

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. H3 indexing and related H3 spatial functions are now available for Amazon Redshift spatial analytics. Let’s dive into a use case to see how this can be used to solve an example spatial analysis problem.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

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. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Data Strategy 107

Data Strategy Strategy Machine Learning Data-driven 107

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 113

Analytics IoT Data-driven Snapshot 113

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Fault tolerance is built in. Any hardware failures are automatically replaced.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

Timo Elliott

OCTOBER 3, 2019

I recently had the honor of delivering the keynote at the “The Journey to the Top” Event at SAP UK headquarters, and you can see my slides and a video in my previous post How Data is Powering The Future of Business: Trends and Opportunities. “Did you know there’s more data THAN EVER BEFORE?!”

Data Warehouse 69

Data Warehouse Digital Transformation Machine Learning Strategy 69

AWS Big Data

JUNE 28, 2023

In this post, we provide step-by-step guidance on how to get started with near-real time operational analytics using this feature. There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

MARCH 7, 2024

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. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

Cloudera

SEPTEMBER 23, 2022

Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Your data can grow infinitely. Analytical engines can be scaled up (or down) on demand, as per the requirements of your workload. SaaS data lakehouses. The CDP One data lakehouse is continuously monitored for availability.

Data Governance 109

Data Governance Strategy Enterprise Cost-Benefit 109

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Jet Global

DECEMBER 13, 2023

Here are five strategies for contextualizing your numbers and turning them into compelling narratives. Effective communication demands a background understanding of the company’s journey, strategic objectives, significant events, and market dynamics. In financial storytelling, this urgency is the catalyst for action.

Strategy 52

Strategy Reporting Finance Visualization 52

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. Sirius has created a lightweight development tool to rapidly build and deploy best-practice data models.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

AWS Big Data

MARCH 21, 2024

In this post, we provide step-by-step guidance on how to get started with near real-time operational analytics using this feature. This post is a continuation of the zero-ETL series that started with Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift.

Data Warehouse 87

Data Warehouse Metrics Statistics Optimization 87

AWS Big Data

MARCH 20, 2024

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. ETL is the process data engineers use to combine data from different sources.

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Data Warehouse Business Driver Data Lake Data-driven 122

AWS Big Data

NOVEMBER 15, 2023

AWS re:Invent is a powerhouse of a learning event and every time I have attended, I’ve been amazed at its scale and impact. The analytics team is waiting to engage with our customers and partners at the analytics kiosk in the expo hall. And there are plenty of announcements you don’t want to miss!

Data Lake 65

Data Lake Data Warehouse B2B Deep Learning 65

Occam's Razor

MARCH 10, 2015

In a Q&A after a keynote a couple of years ago, I was asked: " When will traditional business analysis subsume the web analytics silo? " " My reply: " All business will ultimately be digital, so, if anything, web analytics will subsume business analysis! " Universal Analytics: What the heck is it?

Strategy 151

Strategy Analytics Measurement Business Analysis 151

Jet Global

APRIL 30, 2024

The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.

Analytics 52

Analytics Data Processing Dashboards Reporting 52

CIO Business Intelligence

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores. How do analysts and data scientists find, access, and understand the context around real-time data?

Machine Learning 128

Machine Learning Cost-Benefit Data-driven Strategy 128

AWS Big Data

DECEMBER 8, 2023

As FanDuel’s business footprint grew, so too did the complexity of their analytical needs. 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. In 2022, FanDuel shifted their focus to using data sharing.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

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 Optimization Dashboards Interactive 97

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

Jet Global

DECEMBER 4, 2023

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand. How Embedded Analytics Boots Data-Driven Applications: The speed at which data comes into organizations is fast and furious.

Analytics 52

Analytics Reporting Dashboards Software 52

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.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

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 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

Jet Global

MAY 12, 2023

To keep up with the demands that digital innovations place upon product markets, businesses are increasingly incorporating analytics into their products. Both product analytics and embedded analytics fall into this tool category. Let’s look at how embedded analytics differs from product analytics, and why both are useful.

Analytics 52

Analytics Slice and Dice Sales Cost-Benefit 52

Jet Global

JUNE 20, 2023

Self-service analytics has been  a leading priority  in the business intelligence (BI) space for years and is likely here to stay. With data-driven culture on the rise, analytics is no longer just for IT teams and data scientists. What Is Self-Service Analytics?

Analytics 52

Analytics Cost-Benefit Dashboards Reporting 52

Jet Global

AUGUST 1, 2023

Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to keep up with user demand. But keeping up with user demand for analytical functionality eats up time and money, taking resources away from core app features and amassing technical debt that stalls the product roadmap.

Analytics 52

Analytics Dashboards Business Intelligence Reporting 52

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Jet Global

MARCH 14, 2024

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform.

Analytics 52

Analytics Management Reporting Enterprise 52

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

Cloudera

AUGUST 9, 2022

Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation. Everyday, we see the Cloudera Data Platform (CDP) becoming that business-critical analytics platform that customers must have running in an available, reliable, and resilient way. The importance of terminology and standards.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Registration is free for both events.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105