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

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

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 98

Data Warehouse Cost-Benefit Digital Transformation Strategy 98

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 121

Data Warehouse Dashboards Risk Management Risk 121

Cloudera

JULY 14, 2023

Depending on the size and usage patterns of the data, several different strategies could be pursued to achieve a successful migration. In this blog, I will describe a few strategies one could undertake for various use cases. In all the use cases we are trying to migrate a table named “events.”

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

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

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

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

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. SAP AI Solutions: Making Business Applications More Intelligent AI is at the heart of the SAP strategy to help customers become intelligent, sustainable enterprises.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

JUNE 21, 2023

While the company was well into its cloud journey when the pandemic hit, such a seismic event for a food distributor called for a major overhaul of its strategic vision, R&D plans, and digital transformation, Peck says. The base engine for the e-commerce and data warehouse is all custom code.

IT 94

IT B2B Digital Transformation Sales 94

DataRobot Blog

FEBRUARY 28, 2023

While this can be an excellent strategy for a future-oriented company, it can prove futile if you don’t maximize the value of your investment. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy. launch event on March 16th.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

SEPTEMBER 8, 2022

Tapping into real-time data provides decision-makers with immediate access to actionable intelligence, whether a security alert on an attack in-progress or data on a supply chain issue as it happens.”. 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

IBM Big Data Hub

SEPTEMBER 11, 2023

This collaboration recognizes that data and AI are inseparable allies in driving digital transformation. Data provides the raw materials for AI algorithms to learn and evolve, while AI extracts actionable insights from data that shape business strategies and customer experiences.

Data-driven 114

Data-driven Insurance Digital Transformation Data Warehouse 114

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 Data-driven Digital Transformation Metadata 52

Smart Data Collective

APRIL 29, 2020

A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Solutions for the various data management processes need to be carefully considered. Data transformation. Data analytics and visualisation.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

CIO Business Intelligence

DECEMBER 1, 2022

Kanioura, who was hired away from Accenture two years ago to serve as the food and beverage multinational’s first chief strategy and transformation officer, says earning employee trust was one of her greatest challenges in those early months. billion in revenue.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Cloudera

SEPTEMBER 2, 2020

Recently, Cloudera announced the release of Cloudera CDP Private Cloud, delivering the final component of our hybrid cloud strategy. Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 65

Cost-Benefit Data Warehouse Data Lake Machine Learning 65

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 111

Data Lake Analytics Dashboards Metrics 111

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

CIO Business Intelligence

JANUARY 16, 2023

This cloud-native strategy is essential to building unique value Choice’s core customers, owners of franchises ranging from Comfort Inn to EconoLodge, Quality Inn, and upper scale Cambria Inn.

Cost-Benefit 144

Cost-Benefit Digital Transformation Data Warehouse Data-driven 144

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

IBM Big Data Hub

NOVEMBER 8, 2023

At the beginning of the year, we laid out a new strategy for IBM Power under the leadership of Ken King, who will be retiring by the end of 2023 after forty years with IBM. We also have a new release of AIX — AIX 7.3 You can learn more about this latest release on the AIX webcast on November 14.

Strategy 99

Strategy Cost-Benefit Digital Transformation Data-driven 99

AWS Big Data

FEBRUARY 9, 2023

To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. This means… ensuring data is made available, not locked down unnecessarily.”.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

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. Once your data is prepared for analysis, the next question is: how else can AI help you?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

AWS Big Data

JULY 31, 2023

This solution decouples the ETL and analytics workloads from our transactional data source Amazon Aurora, and uses Amazon Redshift as the data warehouse solution to build a data mart. We use Amazon Redshift as the data warehouse to implement the data mart solution. Choose Submit.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

JANUARY 31, 2023

Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud. The data sharing feature allows data owners to group databases, tables, and views in an Amazon Redshift cluster and share it with other Amazon Redshift clusters within or across AWS accounts.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

InsightOut

AUGUST 6, 2021

On average, humans receive 90% of their sensory inputs through the eyes, and about 50% of their brainsxe2x80x99 neurons are solely visual data processors. They typically consist of small datasets with just a few variables, and the necessary decisions are usually part of a broader strategy.

Visualization 52

Visualization Software Testing Data Warehouse 52

Hurwitz & Associates

MAY 15, 2018

But it is clear to anyone who has participated or observed the data management market, that change is coming to this market space – and coming fast. We recently attended Cloudera’s IT industry analyst event, where we met with the company’s Executives and were briefed on product and corporate strategy. The New Strategy.

Machine Learning 40

Machine Learning Data Warehouse Marketing Software 40

Cloudera

DECEMBER 9, 2020

It’s been a few weeks since we celebrated the 2020 Data Impact Awards, and everyone at Cloudera is still on a high. It was a brilliant event, and we are so pleased we were able to celebrate our fantastic customers virtually. The Connect the Data Lifecycle award was our fifth award at this year’s ceremony.

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Management 69

Jet Global

JUNE 5, 2019

Transforming your raw data into business insight via the process of data mining takes place over five steps: Extract, Transform, and Load (ETL): The first stage in data mining involves extracting data from one or many sources (such as those referenced above), transforming it into a standardized format, and loading it into the data warehouse.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 93

Data Warehouse Snapshot Testing Management 93

Sisense

MARCH 6, 2019

The crowd who attends these events are made mostly of analytics leaders in Enterprises. It’s always fun and insightful to be able to talk to so many CDOs, CIOs, data and BI professionals within 2.5 I was very happy to see that the first key message – “Data Driven” – was subtitled with “Adopt an Experimental Mindset”.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

AWS Big Data

JUNE 6, 2023

These are six main steps in the data pipeline: Amazon EventBridge triggers an AWS Lambda function when the event pattern for AWS Glue Data Quality matches the defined rule. He is passionate about helping customers build modern data architecture on the AWS Cloud.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

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.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. You need to process this to make it ready for analysis.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67