AWS Big Data

NOVEMBER 20, 2023

As a result, you gain the benefit of higher availability, better performance, and lower cost for your AWS Glue for Apache Spark workload. Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. Check it out!

Metrics 96

Metrics Data Lake Cost-Benefit Dashboards 96

CIO Business Intelligence

MARCH 18, 2024

When it comes to AI, Nafde sees risks in the vendors selected, the business-worthiness of the use case, and the cost of the initiative. One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. It’s a significant danger with significant costs.

Risk 128

Risk Cost-Benefit Data Processing Testing 128

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 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Cloudera

JANUARY 15, 2021

With the ability to quickly provision on-demand and the lower fixed and administrative costs, the costs of operating a cloud data warehouse are driven mostly by the price-performance of the specific data warehouse platform. higher cost. CDW supports running queries on either Apache Hive or Apache Impala engines.

Data Warehouse 99

Data Warehouse Cost-Benefit Consulting Interactive 99

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JULY 12, 2023

However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down. Moreover, lowering costs is not the only way manufacturers gain a competitive advantage.

Manufacturing 96

Manufacturing Cost-Benefit Data Lake Optimization 96

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.

Cost-Benefit 111

Cost-Benefit Internet of Things Data-driven Data Lake 111

AWS Big Data

APRIL 26, 2023

To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub. In 2019, the BMW Group decided to re-architect and move its on-premises data lake to the AWS Cloud to enable data-driven innovation while scaling with the dynamic needs of the organization.

Forecasting 123

Forecasting Manufacturing Data Lake Big Data 123

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. With Amazon Managed Service for Apache Flink Studio , you can build and run Apache Flink stream processing applications using standard SQL, Python, and Scala in an interactive notebook.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

CIO Business Intelligence

MARCH 13, 2023

“You need to understand which applications are talking to others, what infrastructure is supporting those applications, where data is being stored, and what condition it is in,” he explains. Cloud-enabled innovation The benefits of cloud migration extend well beyond cost optimization and scalability.

Finance 52

Finance Data-driven Data Lake Cost-Benefit 52

IBM Big Data Hub

OCTOBER 16, 2023

They are used in everything from robotics to tools that reason and interact with humans. How to scale AL and ML with built-in governance A fit-for-purpose data store built on an open lakehouse architecture allows you to scale AI and ML while providing built-in governance tools.

Risk 71

Risk Modeling Management Metadata 71

AWS Big Data

JUNE 6, 2023

This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. cost savings , when compared to using open-source Apache Spark on Amazon EKS. These configurations enable you to benefit from EMR runtime performance, AWS Glue Data Catalog integration, and the EMRFS optimized connector.

Optimization 72

Optimization Data Lake Cost-Benefit Management 72

AWS Big Data

APRIL 19, 2023

Customers now want to migrate their Apache Hive workloads to Apache Spark in the cloud to get the benefits of optimized runtime, cost reduction through transient clusters, better scalability by decoupling the storage and compute, and flexibility. To configure AWS CLI interaction with AWS, refer to Quick setup. X Python 3.8

Metadata 81

Metadata Testing Data Lake Consulting 81

erwin

JUNE 7, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud providers sizing vs. cost calculator. It shows pricing for a data warehousing project with just 4 TBs of data, small by today’s standards. Look at Figure 1 below.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Cloudera

JULY 18, 2018

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. Out-of-the-box advance analytics capabilities to eliminate 50-60% of costly ETL, data integration, visualization, and implementation. .

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Sisense

NOVEMBER 12, 2020

The boosted popularity of data warehouses has caused a misconception that they are wildly different from databases. While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. He works with enterprise customers building data products, analytics platforms, and solutions on AWS.

Data Lake 74

Data Lake Data Science Recreation/Entertainment Experimentation 74

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X 2X (2 DPU) workers, which offer a scalable and cost-effective way to run most jobs. Larger worker types not only benefit the Spark executors, but also in cases where the Spark driver needs larger capacity—for instance, because the job query plan is quite large.

Data Lake 89

Data Lake Cost-Benefit Data Integration Data Transformation 89

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

datapine

APRIL 15, 2020

No matter if you need to develop a comprehensive online data analysis process or reduce costs of operations, agile BI development will certainly be high on your list of options to get the most out of your projects. The more processes you can automate, the more benefits you will gain in the long run. Choose the right BI software.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

MARCH 29, 2024

Finally, Nexthink details the benefits achieved by adopting Amazon MSK. The next sections detail our modernization journey, including the challenges we faced and the benefits we realized with our new cloud-centered, AWS-based architecture. Benefits of Amazon MSK Amazon MSK has been critical in enabling our event-driven design.

Cost-Benefit 92

Cost-Benefit Data-driven Metrics Management 92

CIO Business Intelligence

SEPTEMBER 12, 2023

Getting the benefits of AI isn’t quite as simple as telling your employees they should just start using a generative AI bot, right?” To that end, Salesforce is leveraging Data Cloud as a central data hub for enterprise implementations of Einstein Copilot.

IT 109

IT Metadata Data Lake Cost-Benefit 109

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. taxpayer details and needs to quickly analyze petabytes of data across hundreds of servers.

Data Lake 79

Data Lake Cost-Benefit Digital Transformation Risk 79

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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 86

Enterprise Data Warehouse Data Lake Optimization 86

FineReport

APRIL 11, 2023

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. In this article, we will explore what BI Dashboard is, its key features, benefits and limitations, and best practices and examples.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. For AI to be truly transformative, as many people as possible should have access to its benefits. Trust is one part of the equation.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. In data-driven organizations, data is flowing. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

DECEMBER 21, 2022

Low user adoption rates Diana Stout, senior business analyst, Schellman Schellman It’s critical for organizations wanting to realize the benefits of BI tools to get buy-in from all stakeholders straight away as any initial reluctance can result in low adoption rates. What Gartner is writing about is the concept of a data fabric.”

IT 128

IT Business Intelligence Sales Key Performance Indicator 128

AWS Big Data

FEBRUARY 21, 2023

Regardless of the division or use case it is related to, dimensional data models can be used to store data obtained from tracking various processes like patient encounters, provider practice metrics, aftercare surveys, and more. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Metadata 66

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62