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 82

Enterprise Data Warehouse Snapshot Cost-Benefit 82

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

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

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

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 122

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

IBM Big Data Hub

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. This partnership allowed them to enhance customer service, gaining insights that reshape how they interact with their clients.

Data-driven 114

Data-driven Insurance Digital Transformation Data Warehouse 114

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

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 102

Data Warehouse Testing Data Quality Reporting 102

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 73

Dashboards Data Warehouse Visualization Data Processing 73

Cloudera

JANUARY 27, 2021

Active monitoring for intrusion events and security incident handling. Data backup and disaster recovery. CDP Public Cloud consists of a set of best-of-breed analytic services covering streaming, data engineering, data warehouse, operational database, and machine learning, all secured and governed by Cloudera SDX.

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

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. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

DECEMBER 1, 2022

Now halfway into its five-year digital transformation, PepsiCo has checked off many important boxes — including employee buy-in, Kanioura says, “because one way or another every associate in every plant, data center, data warehouse, and store are using a derivative of this transformation.” billion in revenue. “The

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. 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.

Risk 77

Risk Modeling Management Metadata 77

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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 82

Forecasting Data Warehouse Machine Learning Modeling 82

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

Jet Global

JULY 23, 2019

insightsoftware’s Excelapalooza, one of the largest Microsoft Excel learning events in the country, is no exception. Who: insightsoftware, now including Jet Global reporting and analytics, is hosting the event for any and all business professionals who use Excel, Jet, Microsoft Dynamics, Epicor, Sage, or any other ERP system.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

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

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Sales and customer service interactions are tracked in CRM.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

InsightOut

AUGUST 6, 2021

Finally, the mutual embedding capability of Excel and other MS Office tools like Word and PowerPoint makes it easy to use the visualization across reports, office presentations, and more.xc2xa0 Excel is a great starting point to create data visualizations.

Visualization 52

Visualization Software Testing Data Warehouse 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

Cloudera

JUNE 2, 2022

What is less frequently mentioned is that during this same time we have also seen a rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.).

Enterprise 98

Enterprise Data Lake Data Collection Data-driven 98

Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

CIO Business Intelligence

JULY 13, 2022

What is less frequently mentioned is that during this same time we have also seen a rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.). Data Center

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

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. After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. It will indicate whether data is void of significant errors.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

FEBRUARY 24, 2023

Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. Athena interacts with the Data Catalog tables in Iceberg format for transactional queries required for GDPR. To create your data warehouse or data lake, you must catalog this data.

Data Lake 81

Data Lake Metadata Testing Data Warehouse 81

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. You can get faster insights without spending valuable time managing your data warehouse.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

AWS Big Data

JANUARY 17, 2024

Next, we create an AWS Cloud9 interactive development environment (IDE). His expertise lies in assisting customers with migrating intricate enterprise systems and databases to AWS, constructing enterprise data warehousing and data lake platforms. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Consider all customer interactions and their data sources as potential sources for predicting future customer behavior. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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 90

Data Warehouse Optimization Dashboards Interactive 90

CIO Business Intelligence

JUNE 29, 2022

The recent announcement of the Microsoft Intelligent Data Platform makes that more obvious, though analytics is only one part of that new brand. Azure Data Factory. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

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 41

Data Warehouse Marketing Big Data Data Lake 41

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

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 68

Modeling Sales Data Warehouse Snapshot 68