Cloudera

DECEMBER 20, 2022

Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making. With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. Towards a better customer experience.

Optimization 82

Optimization Data Analytics Analytics Cost-Benefit 82

Cloudera

SEPTEMBER 17, 2018

These trends and demands lead to stress for existing data warehouse solutions – scale, efficiency, security integrations, IT budgets, ease of access. Cloudera recently launched Cloudera Data Warehouse, a modern data warehousing solution. No need to be a 100% expert on your data. Optimization.

Data Warehouse 54

Data Warehouse Optimization Visualization Unstructured Data 54

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Choose a suitable instance size (the default is db.r5.2xlarge ).

Data Warehouse 92

Data Warehouse Analytics Metrics Snapshot 92

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others. Data Enrichment/Data Warehouse Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

Smart Data Collective

JUNE 15, 2021

How companies gather, manage and control data has undeniably become one of the most important aspects of business success today. Fortunately, there are a few quick fixes that you can try to help optimize looker performance and improve dashboard load times. 4 – Upgrade your data warehouse.

Data Warehouse 95

Data Warehouse Dashboards Optimization Metrics 95

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

CIO Business Intelligence

JULY 18, 2022

One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure. We didn’t have basic things like a data warehouse.

Data Warehouse 131

Data Warehouse Dashboards Reporting Manufacturing 131

Cloudera

JANUARY 19, 2024

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone. Please refer to the product documentation for more information about specific releases.

Data Warehouse 73

Data Warehouse Data Processing Optimization Modeling 73

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

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 112

Data Warehouse Cost-Benefit Sales Data-driven 112

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

CIO Business Intelligence

MAY 23, 2024

More recently, products have become increasingly digital, with software that manages patient flows, tools for surgery planning, and sterile management processes that optimize inventory and ensure that surgical instruments are delivered at the right time to the right place.

Digital Transformation 102

Digital Transformation Measurement Cost-Benefit Data Warehouse 102

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

datapine

SEPTEMBER 27, 2022

But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures. 11) “Data Analysis Using SQL and Excel, 2nd Edition” by Gordon S. Would highly recommend for SQL experts.”.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

NOVEMBER 17, 2023

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. In an optimal environment, we store the credentials in AWS Secrets Manager and retrieve them. For more information, refer SQL models. For more information, refer to Redshift set up. Add all the required DBT artifacts.

Snapshot 91

Snapshot Data Processing Testing Data Warehouse 91

IBM Big Data Hub

NOVEMBER 6, 2023

However, this isolated qualitative customer information is not enough to serve a client’s needs. can analyze high-level customer trends and market forces — as well as specific customer data and historical transactions — to recommend products that meet each SMB’s particular needs.

Cost-Benefit 102

Cost-Benefit Enterprise ROI Data Warehouse 102

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 97

Data Lake Data Warehouse Testing Business Objectives 97

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

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. Data-driven DSS. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 134

Data mining Data-driven Statistics OLAP 134

AWS Big Data

APRIL 29, 2024

Ranger UserSync – This service is responsible for syncing user and group information from a directory service like LDAP or AD into Ranger. This provides data security and orderly conduct of daily business operations. It provides a web-based user interface for policy management and an API for programmatic configuration.

Management 96

Management Big Data Metadata Data Warehouse 96

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 83

Data Warehouse Cost-Benefit Metadata Data-driven 83

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing. Analyze the data and then optimize as necessary.

Testing 99

Testing Data Warehouse Metrics Cost-Benefit 99

CIO Business Intelligence

OCTOBER 19, 2023

To tackle this, enterprises need systems that enable real-time analysis, aggregation, and transformation of incoming data streams. Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. CIO, Data Integration

Data Integration 123

Data Integration Unstructured Data Data-driven Data Warehouse 123

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. That Was Then. Learn More, Keep in Touch.

Data Warehouse 98

Data Warehouse Machine Learning Visualization Data Lake 98

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

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Data store – The data store used a custom data model that had been highly optimized to meet low-latency query response requirements.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

CIO Business Intelligence

SEPTEMBER 26, 2023

While scoping and modeling the project, IWB relied on support from SAP’s Global Center of Excellence and Customer Advisory, providing both business and application expertise to organizations engaged in SAP implementations and optimizing existing ones. The problem was that the smart meters were only feeding their data once a day.

Machine Learning 100

Machine Learning Forecasting Measurement Data Warehouse 100

Timo Elliott

MAY 27, 2022

That can be as simply as just making sure that you provide the information people need for a decision just before they make it. They say you need data artists that create great questions to complement the data scientists that find great answers. And there’s been a big change in technology that is supporting all this.

Data Analytics 123

Data Analytics Analytics Recreation/Entertainment Data Lake 123

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

erwin

SEPTEMBER 26, 2019

So Seriously … You Should Automate Your Data Vault. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced. By Danny Sandwell.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Modeling 108

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

Jet Global

SEPTEMBER 4, 2020

Now, instead of making a direct call to the underlying database to retrieve information, a report must query a so-called “data entity” instead. Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Sisense

MARCH 27, 2019

To get the most out of data, companies need to analyze it as soon as it is created—when it can provide the most immediate and relevant insights. Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. It forms the basis for making informed decisions around product innovation, dynamic pricing, market expansion, and supply chain optimization. It’s the “new oil.” The challenge: There.

Data-driven 92

Data-driven Analytics Machine Learning Optimization 92