DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. The organizational concepts behind data mesh are summarized as follows.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

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 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 99

Data Warehouse Testing Data Lake Data-driven 99

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. DSS software system.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Cloudera Data Warehouse and Rill Data—built on Apache Hive and Druid, respectively—can be connected using the Hive-Druid Integration. Cloudera Data Warehouse).

Metrics 83

Metrics Slice and Dice Data Warehouse Dashboards 83

Cloudera

JANUARY 27, 2021

The SOC 2 certification helps ensure that applications and code are developed, reviewed, tested, and released following the AICPA Trust Services Principles. Completion of internal and external penetration testing. Data backup and disaster recovery. Access control that follows “least privilege” best practices. What’s Next?

Testing 101

Testing Data Warehouse Machine Learning Measurement 101

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Data Engineering (Spark 3) with Airflow enabled. Cloudera Machine Learning . Time travel.

Snapshot 89

Snapshot Data Warehouse Machine Learning Cost-Benefit 89

AWS Big Data

JUNE 28, 2023

In case the data sources change, data engineers have to manually make changes in their code and deploy it again. Furthermore, the time required to build or change pipelines makes the data unfit for near-real-time use cases such as detecting fraudulent transactions, placing online ads, and tracking passenger train schedules.

Analytics 69

Analytics Data Warehouse Data Lake Data-driven 69

CIO Business Intelligence

JUNE 7, 2022

You don’t understand how long you should test your feature and what exactly you should measure,” he says. Data scientists may build the ML models, but its ML engineers who implement them. An ML engineer is also involved with validation of models, A/B testing, and monitoring in production.”. ML engineer. AI designer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. As your data increases, expand your data-driven capabilities.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. Usually, data engineers create an Airflow Directed Acyclic Graph (DAG) and commit their changes to GitHub.

Metadata 106

Metadata Data Processing Management Testing 106

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 66

Testing Data Warehouse Data Processing Snapshot 66

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. To configure AWS CLI interaction with AWS, refer to Quick setup. json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q",

Metadata 80

Metadata Testing Data Lake Consulting 80

IBM Big Data Hub

JULY 5, 2022

From powering the Marriott Bonvoy loyalty program used by 140M+ customers, to enabling AI to assist Via’s riders in 36 million trips per year , Db2 i s the tested, resilient, and hybrid database providing the extreme availability, built-in refined security, effortless scalability, and intelligent automation for systems that run the world.

Data Lake 94

Data Lake Data Warehouse Publishing Structured Data 94

AWS Big Data

FEBRUARY 24, 2023

Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. Athena interacts with the Data Catalog tables in Iceberg format for transactional queries required for GDPR. When the testing is correct, choose Send data. The count should be 0.

Data Lake 84

Data Lake Metadata Testing Data Warehouse 84

erwin

AUGUST 7, 2019

The process begins with the target or data end point, and then traversing the processes, applications, and ETL tasks in reverse from the target. The data sources that feed the ETL process are added to a “task list,” and the process is repeated for each of those sources.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 78

Data Lake Data Warehouse Sales Data-driven 78

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. It will indicate whether data is void of significant errors. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JUNE 2, 2022

What is less frequently mentioned is that during this same time we have also seen a rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.).

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

InsightOut

AUGUST 6, 2021

Finally, the mutual embedding capability of Excel and other MS Office tools like Word and PowerPoint makes it easy to use the visualization across reports, office presentations, and more.xc2xa0 Excel is a great starting point to create data visualizations. Therefore, a confirmation visualization can prove or disprove a hunch.

Visualization 52

Visualization Software Testing Data Warehouse 52

CIO Business Intelligence

MAY 28, 2022

In addition to weekly sprints, IT has also implemented CI/CD and has automated regression testing, which has boosted IT agility and quality. Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. Since Das began making these changes, the mood in IT has lifted.

IT 137

IT ROI Cost-Benefit Technology 137

CIO Business Intelligence

JULY 13, 2022

What is less frequently mentioned is that during this same time we have also seen a rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.). Data Center

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

datapine

JANUARY 24, 2021

You don’t have to do all the database work, but an ETL service does it for you; it provides a useful tool to pull your data from external sources, conform it to demanded standard and convert it into a destination data warehouse. ETL data warehouse*. 7) Who are the final users of your analysis results?

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

CIO Business Intelligence

MAY 25, 2022

In addition to weekly sprints, IT has also implemented CI/CD and has automated regression testing, which has boosted IT agility and quality. Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. Since Das began making these changes, the mood in IT has lifted.

IT 116

IT ROI Cost-Benefit Technology 116

AWS Big Data

JUNE 6, 2023

Set up and deploy the Lambda pipeline To test the solution, we can use the following AWS CloudFormation template. The CloudFormation template creates the EventBridge rule, Lambda function, and S3 bucket to store the data quality results. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services.

Data Quality 72

Data Quality Metrics Visualization Dashboards 72

IBM Big Data Hub

JULY 31, 2023

Moving the data somewhere else—such as a cloud data warehouse —can come with even greater transport delays, resulting in stale data and poor quality decisions. Complex analytical queries atop huge datasets on the mainframe can eat up compute budgets and take hours or days to run.

Digital Transformation 53

Digital Transformation Uncertainty Risk Data Warehouse 53

erwin

SEPTEMBER 5, 2022

Even after they later tested adding the function-based indexes, performance was still slower than acceptable. Further testing showed that the best solution was to standardize the attribute properties – but it was too late, the code was written and rolled out. Watch the webinars : erwin Data Modeling 101-401 for the cloud.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

AWS Big Data

NOVEMBER 29, 2023

As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export. Many customers have implemented Amazon Redshift to support multi-tenant applications.

Metadata 105

Metadata Data Warehouse Analytics Data Analytics 105

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Jet Global

OCTOBER 10, 2019

Once these custom visuals are tested, debugged, and packaged, report authors can import the custom visual files (.pbiviz?file) Power BI is full of amazing pre-built visualizations, but your business is unique, and so are your data needs. file) into their reports and use them as they would any other Power BI visual.

Visualization 56

Visualization Dashboards KPI Reporting 56

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. You can get faster insights without spending valuable time managing your data warehouse.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98