IBM Big Data Hub

APRIL 2, 2024

Messaging that can be relied on IBM MQ facilitates the reliable exchange of messages between applications and systems, making sure that critical data is delivered promptly and exactly once to protect against duplicate or lost data. Interested in learning more? In other words, it provides the necessary context for your business events.

Data-driven 65

Data-driven Interactive Technology Data Collection 65

AWS Big Data

JULY 28, 2023

You can use Athena to run SQL queries on petabytes of data stored on Amazon Simple Storage Service (Amazon S3) in widely used formats such as Parquet and open-table formats like Apache Iceberg, Apache Hudi, and Delta Lake. In Athena, we refer to queries on non-Amazon S3 data sources as federated queries.

Big Data 76

Big Data Data Architecture Data Lake Interactive 76

Alation

NOVEMBER 28, 2022

Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it. Spreadsheets are difficult to find, unless you know if they exist and where to find them. With the release of 2022.4, Impossible to trust.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. The file storage component is usually a common component between a data hub and a data lake to avoid data duplication and provide comprehensiveness.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

AWS Big Data

JUNE 6, 2023

You can find more details about this example database in MySQL Sample Database. Provide your values for the MySQL endpoint (located on the CloudFormation stack’s Outputs tab), database user name, and database user password: $ mysql --host= --user= password= Download the SQL file. In AWS Glue Studio, select Visual with a blank canvas.

Data Quality 66

Data Quality Data Lake Visualization Data-driven 66

AWS Big Data

JULY 14, 2023

In addition, this tool enhances the discovery and reuse of existing business capabilities, avoids duplication of services, and shortens time-to-market. Athena – Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL.

Modeling 67

Modeling Visualization Reporting Measurement 67

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. To avoid duplication of compute resources in high availability (HA) deployments, COD has adopted vendor-specific cloud-native design patterns (e.g., Cloud-Native Design Patterns. Quantifying Operational Efficiencies.

Cost-Benefit 96

Cost-Benefit Optimization Risk Management 96

Insight

AUGUST 12, 2019

Let’s say you’ve learned the fundamentals and are ready to start your job hunt. There is a lot here to chew on, so don’t expect to be able to learn everything all at once. Learn vim by simply using the vimtutor command. It’s not just about finding an optimal solution?—?you Everyone needs a little SQL.

Software 65

Software Data-driven Testing Interactive 65

AWS Big Data

APRIL 26, 2023

But when we looked at the query patterns, we found the query pattern is always just one level deep to find who is the parent of a specific QuickSight resource and that can be solved with a relational database’s Primary Key / Foreign Key relationship and with simple self-join SQL query.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Data Quality 73

Data Quality Testing Data Warehouse Unstructured Data 73

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). CDP Public Cloud via Cloudera Machine Learning.

Data Warehouse 83

Data Warehouse Data Transformation Testing Data Lake 83

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Unlike BI, which extracts a small amount of data and for which warehouses are optimized, ML systems process huge datasets using complex, non-SQL code. Learn more at [link]. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

DataKitchen

NOVEMBER 20, 2021

Consider a machine learning example. People will hide their mistakes, and you won’t find out about errors until they explode in a high-profile data outage. . One of the biggest mistakes is to misuse the SELECT DISTINCT statement in SQL to make duplicate records disappear. There are always going to be surprises.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

AWS Big Data

JANUARY 22, 2024

Data engineers were finding it increasingly challenging to maintain and scale the data infrastructure, resulting in data access, data silos, and inefficiencies in data management. It saved them time to get the learnings that otherwise would have been taking longer to find. Additional learnings What did Acast learn?

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. For these reasons, finding and evaluating data is often time-consuming. Who made it? Is this data trustworthy?

Metadata 59

Metadata Data Quality Statistics Data Science 59

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. IBM watsonx.ai With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Cloudera

NOVEMBER 25, 2020

However, as they continue finding treatments and understanding the progression of these cancers, they now also need to serve a much higher expectation on delivery to market. How can they accelerate and with ease share insights, prevent duplication of projects or research efforts, and support continued, expedited, collaboration?

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

Cloudera

JANUARY 21, 2021

The Data Lake also manages metadata persistence, so that you can preserve a single truth of shared data across various kinds of workloads (be it Data Warehouses, Machine Learning, or massive ETL pipelines) and independently spin up and down compute resources as needed. auto-suspend time, auto-scale triggers, etc). .

Data Lake 95

Data Lake Data Warehouse IT Analytics 95

AWS Big Data

MARCH 26, 2024

AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics. Data processing Raw data is often cluttered with duplicates and irregular formats. This database will accept a lot of write queries back from the activation systems that learn new information about the customers and feed them back.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Jet Global

DECEMBER 2, 2019

Learn More Now. These datasets can inform changes or highlight duplications in effort, and help the business become more competitive. Not weeks or months it takes using the traditional business intelligence methods for building these environments, such as building a data warehouse using SQL code from scratch. Conceptually.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Be aware that machine learning often involves working on something that isn’t guaranteed to work. Session Summary.

Management 110

Management Machine Learning Experimentation Metrics 110

AWS Big Data

JANUARY 18, 2024

Curate your data at scale – This session shows how solutions like AWS Glue, AWS Glue Data Quality , and Lake Formation can help you manage your best sources and find sensitive information. To learn more about DataZone, refer to the User Guide. This enhancement simplifies many use cases to avoid metadata duplication. Automatique!

Data Lake 87

Data Lake Metadata Data Governance Statistics 87

Alation

NOVEMBER 22, 2022

With interoperable and connected data, agencies eliminate duplicate data and ensure data quality so they can cohesively deliver public services. When using a data governance tool, like a data catalog , entities can find deprecated or outdated data, which is not fit for wider consumption or analysis. Helps Identify Potential Problems.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Jet Global

AUGUST 1, 2023

Painful connectivity — Disparate data sources hinder connectivity and components built on a security framework that requires duplication across different layers increases vulnerabilities and reduces control over user access. Go here to learn more and see if Logi Symphony is right for your customers.

Analytics 52

Analytics Dashboards Business Intelligence Reporting 52

Jet Global

NOVEMBER 8, 2021

It can be a real wakeup call to discover just how much low quality and duplicated data was housed in your legacy system. Mitigating the learning curve and bringing your employees up to speed is another serious factor that must be addressed. To learn more, download the ERP migration whitepaper.

Recreation/Entertainment 98

Recreation/Entertainment Reporting Finance Cost-Benefit 98

Jet Global

NOVEMBER 16, 2021

If you find yourself confused or overwhelmed, you’re not alone. Studying this metric will give the logistics managers the opportunity to find the lowest cost and most efficient processes. Inefficiencies and duplication of efforts within the recruitment team could lead to a long hiring process. Choose SMART KPIs.

Metrics 84

Metrics Reporting Key Performance Indicator KPI 84

Jet Global

SEPTEMBER 26, 2023

Address Your Company's SAP Skill Gap with Low-Code Automation Access Resource Finding the Path to SAP Data Success Addressing these concerns through proper training, data quality assurance measures, transparency, and effective change management can help alleviate user fears and build trust in SAP data.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52