erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business. defense budget.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Cloudera

JUNE 1, 2021

Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. These acquisitions usher in a new era of “ self-service ” by automating complex operations so customers can focus on building great data-driven apps instead of managing infrastructure.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

SEPTEMBER 5, 2024

If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported. In scenarios where data transformation is required, you can use Redshift stored procedures to modify data in Redshift tables.

IoT 108

IoT Data Warehouse Cost-Benefit Reporting 108

AWS Big Data

DECEMBER 4, 2024

Inspired by these global trends and driven by its own unique challenges, ANZ’s Institutional Division decided to pivot from viewing data as a byproduct of projects to treating it as a valuable product in its own right. For instance, one enhancement involves integrating cross-functional squads to support data literacy.

Metadata 95

Metadata Data Governance Data Quality Data-driven 95

IBM Big Data Hub

NOVEMBER 20, 2023

Despite modern data transformation and integration capabilities that made for faster and easier data exchange between applications, the healthcare industry has lagged behind because of the sensitivity and complexity of the data involved. What are the benefits of FHIR? What is the FHIR Standard?

Cost-Benefit 87

Cost-Benefit Data-driven Data Transformation Management 87

Cloudera

DECEMBER 9, 2022

Existing NiFi users can now bring their NiFi flows and run them in our cloud service by creating DataFlow Deployments that benefit from auto-scaling, one-button NiFi version upgrades, centralized monitoring through KPIs, multi-cloud support, and automation through a powerful command-line interface (CLI). Enabling self-service for developers.

Testing 100

Testing Cost-Benefit Interactive Visualization 100

AWS Big Data

AUGUST 9, 2023

The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. These event changes are also routed to the same SNS topic. This can be extended to other supported services as the data lake grows. Lambda function – The Lambda function is the subscriber to the SNS topic.

Data Lake 95

Data Lake Metrics Testing Cost-Benefit 95

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Traditionally, such a legacy call center analytics platform would be built on a relational database that stores data from streaming sources.

Management 119

Management Metadata Analytics Dashboards 119

Cloudera

JUNE 17, 2022

Instead of configuring every on-premises application to push data to your cloud NiFi deployments, the most efficient approach is to establish a NiFi deployment on-premises (e.g. using Cloudera Flow Management) and use it to collect data from all your on-premises systems. Syslog data pipelines for cybersecurity use cases.

Cost-Benefit 94

Cost-Benefit IoT Data Warehouse Manufacturing 94

Sisense

OCTOBER 15, 2020

Let’s look at a few ways that different industries take advantage of streaming data. How industries can benefit from streaming data. One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

AUGUST 7, 2024

Now fully deployed, TCS is seeing the benefits. The project’s primary objectives were to maintain 100% functionality of the EMR during planned failover events; achieving a recovery point objective of less than one minute; and meet a recovery time objective of two hours for critical services.

IT 119

IT Insurance Cost-Benefit Testing 119

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The difference is in using advanced modeling and data management to make faster scenario planning possible, driven by actionable key performance measures that enable faster, well-informed decision cycles. A major practical benefit of using AI is putting predictive analytics within easy reach of any organization.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 105

Data Lake Data Warehouse Data-driven B2B 105

AWS Big Data

MARCH 15, 2023

Infomedia was looking to build a cloud-based data platform to take advantage of highly scalable data storage with flexible and cloud-native processing tools to ingest, transform, and deliver datasets to their SaaS applications. Performance and scalability of both the data pipeline and API endpoint were key success criteria.

Cost-Benefit 74

Cost-Benefit Data Processing Optimization Data-driven 74

Sisense

AUGUST 6, 2020

AI can add value to your product/service in many ways, including: Improved business performance Reduced costs Increased customer satisfaction Improved brand value Risk reduction (reduced human error, fraud reduction, spam reduction) Improved convenience and accessibility of products. What are the right KPIs and outputs for your product?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

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

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 105

Data Warehouse Analytics Data Lake Data Science 105

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 59

Cost-Benefit Informatics Optimization Management 59

AWS Big Data

JULY 27, 2023

The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. runtime and benefit from the significant performance improvements it brings.

Visualization 91

Visualization Cost-Benefit Data Quality Publishing 91

AWS Big Data

AUGUST 1, 2023

AWS Glue is a serverless data discovery, load, and transformation service that will prepare data for consumption in BI and AI/ML activities. Solution overview This solution uses Amazon AppFlow to retrieve data from the Jira Cloud. This will enable both the CDC steps and the data transformation steps for the Jira data.

Data Lake 93

Data Lake Data Transformation Data-driven Cost-Benefit 93

AWS Big Data

AUGUST 26, 2024

Solution overview The following diagram illustrates the solution architecture: The solution uses AWS Glue as an ETL engine to extract data from the source Amazon RDS database. Built-in data transformations then scrub columns containing PII using pre-defined masking functions. Run the crawlers. PII detection and scrubbing.

Visualization 108

Visualization Metadata Data Transformation Testing 108

AWS Big Data

FEBRUARY 6, 2023

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. These output CSV files are the inputs for the YARN log analyzer. Choose Delete. Choose Delete stack.

Dashboards 85

Dashboards Optimization Data Lake Cost-Benefit 85

AWS Big Data

SEPTEMBER 13, 2024

AWS as a key enabler of CFM’s business strategy We have identified the following as key enablers of this data strategy: Managed services – AWS managed services reduce the setup cost of complex data technologies, such as Apache Spark. At this stage, CFM data scientists can perform analytics and extract value from raw data.

Interactive 88

Interactive Strategy Cost-Benefit Data Governance 88

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Dashboards 52

IBM Big Data Hub

OCTOBER 16, 2023

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. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 70

Risk Modeling Management Metadata 70

Sisense

MAY 11, 2021

When it comes to data modeling, function determines form. Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

AWS Big Data

JANUARY 27, 2023

Organizations with contact centers benefit from advanced analytics on their call recordings to gain important product feedback, improve contact center efficiency, and identify coaching opportunities for their staff. As part of the solution workflow, EventBridge receives an event for each PCA solution analysis output file.

Analytics 66

Analytics Reporting Dashboards Visualization 66

DataRobot Blog

APRIL 4, 2022

More often than I would like to admit, I have heard the following phrase from a client: “We do not have the data for the five media campaigns we ran last year, but we have data for the other four. Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.),

Machine Learning 52

Machine Learning Sales Measurement ROI 52

AWS Big Data

JANUARY 17, 2024

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS.

Data Lake 108

Data Lake Snapshot Big Data Data-driven 108

Domino Data Lab

AUGUST 20, 2019

The new center of our data is zero. In a curious twist of events, standardization doesn’t change the overall shape of the data—it may not look the same at first sight, but here’s another take. In our example, we had data from a uniform or flat-ish distribution. In this example, the cat costs are 20 and 25.

Testing 68

Testing Modeling Interactive Measurement 68

Jet Global

MAY 1, 2023

Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

OCTOBER 1, 2024

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases. Privacy Policy.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

AUGUST 24, 2023

This optimization leads to improved efficiency, reduced operational costs, and better resource utilization. Mitigated Risk and Data Control: Finance teams can retain sensitive financial data on-premises while leveraging the cloud for less sensitive functions. I understand that I can withdraw my consent at any time.

Finance 52

Finance Reporting Data Integration Data Warehouse 52

AWS Big Data

FEBRUARY 25, 2025

Businesses of all sizes are challenged with the complexities and constraints posed by traditional extract, transform and load (ETL) tools. After the tasks are finished, the Amazon EMR cluster is terminated to save costs. Based on the configuration file, the input data is fetched and technical validations are applied.

Data Processing 53

Data Processing Machine Learning Data-driven Cost-Benefit 53