IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” Lastly, watsonx.data pulls from live feeds.

Management 89

Management IT Machine Learning Metrics 89

datapine

APRIL 15, 2020

Working software over comprehensive documentation. The agile BI implementation methodology starts with light documentation: you don’t have to heavily map this out. But before production, you need to develop documentation, test driven design (TDD), and implement these important steps: Actively involve key stakeholders once again.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

DECEMBER 4, 2023

Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose the Data quality tab.

Data Quality 72

Data Quality Data Lake Data-driven Metrics 72

AWS Big Data

NOVEMBER 9, 2023

This popular open-source tool for data warehouse transformations won out over other ETL tools for several reasons. The tool also offered desirable out-of-the-box features like data lineage, documentation, and unit testing. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 104

Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

MARCH 20, 2024

Improve data security by excluding tables containing PII data from replication Operational databases often contain personally identifiable information (PII). This is information that is sensitive in nature, and can include information such as mailing addresses, customer verification documentation, or credit card information.

Data Warehouse 122

Data Warehouse Business Driver Data Lake Data-driven 122

Sisense

JULY 8, 2020

Customer support teams look at trends in support tickets or do text analysis on conversations to understand where they can provide better onboarding and documentation. Product and engineering teams dig into productivity metrics or bug reports to help them better prioritize their resources.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

MAY 16, 2023

This issue becomes increasingly challenging for larger organizations that operate in multiple countries and states, because each country and state may have their own rules and regulations regarding data retention and deletion. Additionally, we showcased how to monitor Spark streaming jobs using Amazon CloudWatch metrics.

Data Lake 69

Data Lake Cost-Benefit Optimization Testing 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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

OCTOBER 2, 2023

JSON data in Amazon Redshift Amazon Redshift enables storage, processing, and analytics on JSON data through the SUPER data type, PartiQL language, materialized views, and data lake queries. Conclusion In this post, we dove into different data formats and ingestion methods for a streaming use case.

Cost-Benefit 85

Cost-Benefit Metadata Structured Data Management 85

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

FEBRUARY 8, 2023

A major challenge with ServiceMax implementation is building a data pipeline between ERP and the ServiceMax application, precisely integrating pricing, orders, and primary data (product, customer) from SAP ERP to ServiceMax using Vyaire’s custom-built integration platform iDataHub.

Testing 73

Testing Data Integration Data Lake Enterprise 73

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JANUARY 22, 2024

Parameters of success Acast succeeded in bootstrapping and scaling a new team- and domain-oriented data product and its corresponding infrastructure and setup, resulting in less friction in gathering insights and happier users and consumers.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Jet Global

OCTOBER 7, 2020

There are five categories of data entities based on their functions and the type of data that they serve: Parameter (e.g., Document (e.g., When it comes to using data entities, you have two choices: out-of-the-box or custom data entities. General Ledger). Reference (e.g., Tax Codes). Master (e.g., Customers).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Alation

FEBRUARY 20, 2020

When it was no longer a hard requirement that a physical data model be created upon the ingestion of data, there was a resulting drop in richness of the description and consistency of the data stored in Hadoop. You did not have to understand or prepare the data to get it into Hadoop, so people rarely did.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 83

Publishing Dashboards Visualization Management 83

CIO Business Intelligence

MARCH 2, 2023

In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. This engine will be deeply integrated into our data lake to enable truly individualized student support at the right time, through the best channel,” he adds.

Data Lake 143

Data Lake Forecasting B2B Optimization 143

Alation

JULY 19, 2022

For example, a new data scientist who is curious about which customers are most likely to be repeat buyers, might search for customer data only to discover an article documenting a previous project that answered their exact question. Finally, data catalogs can help data scientists promulgate the results of their projects.

Metadata 59

Metadata Data Quality Statistics Data Science 59

CIO Business Intelligence

SEPTEMBER 21, 2022

“While the passage and enforcement of GDPR, CCPA in California, and other data regulations may have once been seen as seismic events affecting brands and publishers alike, they’ve actually been a forcing function for companies to organize their data, remove data silos, and clearly document what they have access to and how it can be used.”.

Risk 102

Risk Data Lake Marketing Interactive 102

IBM Big Data Hub

OCTOBER 12, 2023

To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture. This type of architecture combines the performance and usability of a data warehouse with the flexibility and scalability of a data lake.

Cost-Benefit 85

Cost-Benefit Metadata Data Governance Modeling 85

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Alation

MARCH 21, 2023

Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

SEPTEMBER 23, 2021

Active Governance – Active data governance creates usage-based assignments, which prioritize and delegate curation duties. It also allows for deeper analytics and visibility into people, data, and documentation. At minimal function, a data catalog should provide metrics that show who is querying a data set and how often.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

DataRobot Blog

MARCH 7, 2023

The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database. With built-in guardrails and automated model documentation for compliance, have the confidence you need to make business decisions quickly.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. In this way, data governance is the business or process side. Seeing is believing!

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52