datapine

SEPTEMBER 29, 2022

This means there are no unintended data errors, and it corresponds to its appropriate designation (e.g., Here, it all comes down to the data transformation error rate. In other words, it measures the time between when data is expected and the moment when it is readily available for use. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By leveraging the NVIDIA NeMo platform and optimized versions of open-source models like Llama 3 and Mistral, businesses can harness the latest advancements in natural language processing, computer vision, and other AI domains.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. To create the connection string, the Snowflake host and account name is required. Choose Next.

Data Processing 111

Data Processing Management Publishing Visualization 111

AWS Big Data

JULY 20, 2023

The system ingests data from various sources such as cloud resources, cloud activity logs, and API access logs, and processes billions of messages, resulting in terabytes of data daily. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. Refer to Amazon EBS-optimized instance types for more information.

Analytics 110

Analytics Big Data Software Data Integration 110

Sisense

FEBRUARY 26, 2020

Achieving a successful data transformation requires the right choice of an analytics and BI platform to ensure you get the most value from your data. It can also help you see ROI from your digital transformation sooner. Empowering customers with embedded analytics: Tessitura Network.

Digital Transformation 90

Digital Transformation Analytics Big Data Data-driven 90

AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status.

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

AWS Big Data

JULY 25, 2023

For Host , enter the Redshift Serverless endpoint’s host URL. As well as Talend Cloud for enterprise-level data transformation needs, you could also use Talend Stitch to handle data ingestion and data replication to Redshift Serverless. For Host , enter the Redshift Serverless endpoint’s host URL.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. You’re now ready to query the tables using Athena.

Analytics 121

Analytics IoT Metadata Internet of Things 121

AWS Big Data

SEPTEMBER 13, 2024

Although we explored the option of using AWS managed notebooks to streamline the provisioning process, we have decided to continue hosting these components on our on-premises infrastructure for the current timeline. Joel has led data transformation projects on fraud analytics, claims automation, and Master Data Management.

Interactive 103

Interactive Strategy Cost-Benefit Data Governance 103

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

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery.

Dashboards 83

Dashboards Testing Metrics Optimization 83

AWS Big Data

MARCH 3, 2023

The Delta tables created by the EMR Serverless application are exposed through the AWS Glue Data Catalog and can be queried through Amazon Athena. Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

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

Alation

OCTOBER 28, 2021

It defines how data can be collected and used within an organization, and empowers data teams to: Maintain compliance, even as laws change. Uncover intelligence from data. Protect data at the source. Put data into action to optimize the patient experience and adapt to changing business models.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Alation

FEBRUARY 2, 2023

Having the right tools is essential for any successful data product manager focused on enterprise data transformation. When choosing the tools for a project, whether it be the CIO , CDO , or data product managers themselves, the buyers must see the big picture. They can quickly understand complex systems and technology.

Management 52

Management Data-driven Visualization Strategy 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Wait for all the jobs to complete.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

DECEMBER 4, 2024

Within the ANZ enterprise data mesh strategy, aligning data mesh nodes with the ANZ Group’s divisional structure provides optimal alignment between data mesh principles and organizational structure, as shown in the following diagram. Consumer feedback and demand drives creation and maintenance of the data product.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Cloudera

NOVEMBER 22, 2021

In addition, more data is becoming available for processing / enrichment of existing and new use cases e.g., recently we have experienced a rapid growth in data collection at the edge and an increase in availability of frameworks for processing that data. As a result, alternative data integration technologies (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

CIO Business Intelligence

AUGUST 7, 2024

But Barnett, who started work on a strategy in 2023, wanted to continue using Baptist Memorial’s on-premise data center for financial, security, and continuity reasons, so he and his team explored options that allowed for keeping that data center as part of the mix.

IT 119

IT Insurance Cost-Benefit Testing 119

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Key Features: Extensive library of pre-built connectors for diverse data sources.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

AWS Big Data

FEBRUARY 25, 2025

Amazon EC2 to host and run a Jenkins build server. Solution walkthrough The solution architecture is shown in the preceding figure and includes: Continuous integration and delivery ( CI/CD) for data processing Data engineers can define the underlying data processing job within a JSON template. million records each.

Data Processing 54

Data Processing Machine Learning Data-driven Cost-Benefit 54

AWS Big Data

JANUARY 29, 2025

This helps optimize data access from the Regional S3 bucket as traffic is routed through Direct Connect. Additionally, we show you how to submit batch jobs to Amazon EMR using EMR steps for automated, scheduled data processing. This method is ideal for recurring tasks or large-scale data transformations.

Big Data 85

Big Data Data Analytics Analytics Interactive 85

Jet Global

MAY 1, 2023

Reports In formats that are both static and interactive, these showcase tabular views of data. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. Ideally, your primary data source should belong in this group. addresses). Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 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

AUGUST 24, 2023

Optimized Resource Allocation: Finance teams can strategically allocate resources in a hybrid ERP environment. This optimization leads to improved efficiency, reduced operational costs, and better resource utilization. Cost Optimization: The hybrid model allows finance teams to balance their expenses effectively.

Finance 52

Finance Reporting Data Integration Data Warehouse 52