AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift has launched a session reuse capability for the Data API that can significantly streamline multi-step, stateful workloads such as exchange, transform, and load (ETL) pipelines, reporting processes, and other flows that involve sequential queries. Calls to the Data API are asynchronous.

Data Warehouse 93

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 93

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

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

CIO Business Intelligence

APRIL 8, 2025

In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. In retail, poor product master data skews demand forecasts and disrupts fulfillment. In the public sector, fragmented citizen data impairs service delivery, delays benefits and leads to audit failures.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

DataKitchen

APRIL 26, 2021

GSK’s DataOps journey paralleled their data transformation journey. GSK has been in the process of investing in and building out its data and analytics capabilities and shifting the R&D organization to a software engineering mindset. These were useful analogies because our leadership understood this value proposition.”

Measurement 246

Measurement Metrics Data-driven Dashboards 246

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. It’s included at no extra cost, customers only have to pay for the associated compute infrastructure. CDP Airflow operators.

Management 115

Management Cost-Benefit Data Transformation Optimization 115

DataKitchen

JULY 27, 2023

Azure Functions: You can write small pieces of code (functions) that will do the transformations for you. Azure HDInsight: A fully managed cloud service that makes processing massive amounts of data easy, fast, and cost-effective. Power BI dataflows: Power BI dataflows are a self-service data preparation tool.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

JULY 25, 2024

If you want deeper control over your infrastructure for cost and latency optimization, you can choose OpenSearch Service’s managed clusters deployment option. With managed clusters, you get granular control over the instances you would like to use, indexing and data-sharding strategy, and more.

Cost-Benefit 117

Cost-Benefit Machine Learning Dashboards Management 117

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

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

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 107

IoT Data Warehouse Cost-Benefit Reporting 107

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 101

Metadata Data Lake Visualization Data Quality 101

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. Worker Type Number of Workers Number of DPUs Duration (minutes) Cost at $0.44/DPU-hour Each DPU provides 4 vCPU, 16 GB memory, and 64 GB disk. 1X (1 DPU) and G.2X

Data Lake 101

Data Lake Cost-Benefit Data Integration Data Transformation 101

AWS Big Data

APRIL 26, 2023

Applied services Our solution uses the serverless services AWS Glue and Amazon Simple Storage Service (Amazon S3) to run ETL (extract, transform, and load) workflows without managing an infrastructure. It also reduces the costs by paying only for the time jobs are running.

Forecasting 130

Forecasting Manufacturing Data Lake Big Data 130

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 are the differences between FHIR and HL7?

Cost-Benefit 87

Cost-Benefit Data-driven Data Transformation Management 87

Cloudera

OCTOBER 11, 2021

They will automatically get the benefits of CDP Shared Data Experience (SDX) with enterprise-grade security and governance. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Cost efficiencies by taking advantage of Spot instances. Conclusion.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

CIO Business Intelligence

DECEMBER 6, 2023

TECH VENDORS AS CO-INNOVATORS Nevertheless, the benefits of tech vendors are more than just infusing organizations with standard tech skills; they are becoming an integral source of the organization’s journey to long-term success and innovation.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Manufacturing 116

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

erwin

MARCH 4, 2021

And when you talk about that question at a high level, he says, you get a very “simple answer,”– which is ‘the only thing we want to have is the right data with the right quality to the right person at the right time at the right cost.’. The Why: Data Governance Drivers. Why should companies care about data governance?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

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

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 94

Metadata Data Governance Data Quality Data-driven 94

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 104

Data Lake Data Warehouse Data-driven B2B 104

AWS Big Data

AUGUST 1, 2024

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.

Data Warehouse 100

Data Warehouse KPI Optimization Cost-Benefit 100

Smarten

AUGUST 13, 2024

With this approach, users enjoy access to data, models, charts, gauges, tables, and grids that satisfy their current needs, and these can be easily modified as the organization grows and changes, and the user requirements evolve. Gartner predicts that 75% of new global software solutions will incorporate a low-code approach.’

Analytics 59

Analytics Cost-Benefit Predictive Modeling Dashboards 59

CIO Business Intelligence

JANUARY 24, 2024

Using unstructured data for actionable insights will be a crucial task for IT leaders looking to drive innovation and create additional business value.” One of the keys to benefiting from unstructured data is to define clear objectives, Miller says. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Cloudera

AUGUST 3, 2022

However, it not only increases costs but requires duplication of policies and yet another external tool to manage. By leveraging Hive to apply Ranger FGAC, Spark obtains secure access to the data in a protected staging area. SP1 will provide the key benefits outlined above. For those eager to get started, CDP 7.1.7

Snapshot 90

Snapshot Cost-Benefit Machine Learning Data Science 90

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. The Parquet format results in improved query performance and cost savings for downstream processing.

Cost-Benefit 73

Cost-Benefit Data Processing Optimization Data-driven 73

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

AWS Big Data

AUGUST 9, 2023

The combination of a data lake in a serverless paradigm brings significant cost and performance benefits. monitor" WHERE event_type = 'failed' group by service_type order by fail_count desc; Over time with rich observability data – time series based monitoring data analysis will yield interesting findings.

Data Lake 94

Data Lake Metrics Testing Cost-Benefit 94

AWS Big Data

JULY 18, 2024

The main driving factors include lower total cost of ownership, scalability, stability, improved ingestion connectors (such as Data Prepper , Fluent Bit, and OpenSearch Ingestion), elimination of external cluster managers like Zookeeper, enhanced reporting, and rich visualizations with OpenSearch Dashboards.

Dashboards 99

Dashboards Testing Data-driven Visualization 99

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

Cloudera

AUGUST 8, 2022

These connections empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data. Cloudera Machine Learning .

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

AWS Big Data

OCTOBER 27, 2023

AWS Glue , a serverless data integration and extract, transform, and load (ETL) service, has revolutionized this process, making it more accessible and efficient. AWS Glue eliminates complexities and costs, allowing organizations to perform data integration tasks in minutes, boosting efficiency.

Analytics 111

Analytics Visualization Data Integration Cost-Benefit 111

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

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 92

Data Lake Data Transformation Data-driven Cost-Benefit 92

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

IBM Big Data Hub

JULY 5, 2023

In the case of Hadoop, one of the more popular data lakes, the promise of implementing such a repository using open-source software and having it all run on commodity hardware meant you could store a lot of data on these systems at a very low cost. But it never co-existed amicably within existing data lake environments.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60