AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence?

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Athena provides a simplified, flexible way to analyze petabytes of data where it lives.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

APRIL 4, 2024

Although this solution is designed to seamlessly interact with both Hive Metastore and the AWS Glue Data Catalog, we use the Data Catalog as our example in this post. It generates and publishes reports in Amazon S3, which are then accessible via Athena. It also downloads sample data files to use in the next step.

Data Quality 64

Data Quality Data Lake Data Warehouse Data-driven 64

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. report they have established a data culture 26.5%

Data Strategy 111

Data Strategy Strategy Machine Learning Data-driven 111

Jet Global

JULY 23, 2019

With multiple sessions on VBA, macros, Jet products, data visualization, Power BI, PivotTables, dashboards, and the latest technology in Microsoft Excel – Excelapalooza is your reporting and analytics dreamland. Not only will you propel your spreadsheet and reporting skills to new heights, but you will also earn CPE credits.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

Jet Global

OCTOBER 10, 2019

Whether you are using the free desktop version or the paid professional version, one of the biggest challenges with Power BI is customizing your dashboards and reports to fit your analytical requirements. Now you can add it to any report or dashboard and start using it immediately.

Visualization 56

Visualization Dashboards KPI Reporting 56

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Try Cloudera Data Warehouse (CDW) by signing up for a 60 day trial , or test drive CDP.

Data Warehouse 78

Data Warehouse Snapshot Metadata Cost-Benefit 78

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

AWS Big Data

JANUARY 24, 2023

Business teams can gain meaningful insights by simplifying their reporting through web applications and distributing it to a broader audience. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results.

Analytics 59

Analytics Data-driven Management Reporting 59

Smart Data Collective

JANUARY 22, 2020

Large business players appreciate the opportunity to save money on the acquisition and maintenance of their own data storage infrastructure. The movement towards cloud technologies is perceived as an undoubtedly positive trend that facilitates all aspects of human interaction with information systems. billion compromised records.

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57

FineReport

APRIL 21, 2024

Embedded BI platforms deliver real-time reporting and advanced analytics within users’ workflow context, enabling all users to make informed decisions regardless of their analytic skills. This complexity extends to report generation , resulting in prolonged decision-making processes and reliance on scarce resources.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Cloudera

SEPTEMBER 12, 2018

Commonwealth Bank of Australia worked with Cloudera to implement a modern data platform with an AI-powered customer decisioning layer that dramatically improves how the bank interacts with its customers. The bank brought together 27 billion data points and uses AI to understand the next-best conversation 21 million times each weekday.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence?

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

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

Cloudera

NOVEMBER 25, 2020

The data challenge is just one dimension, Matthew expressed open concern around how they will meet their – now much larger – organization’s needs with limited resources and without extensive funding for additional IT. Scale to provide 1,000s of researchers frictionless interaction with data.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

IBM Big Data Hub

APRIL 8, 2024

In our recent  webcast , IBM, AWS, customers and partners came together for an interactive session. Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS Will we be able to monitor and manage the Amazon RDS instances from the IBM Data Management Console?

Snapshot 73

Snapshot Data Warehouse Data Processing Management 73

Cloudera

MAY 13, 2021

After a job ends, WM gets information about job execution from the Telemetry Publisher, a role in the Cloudera Manager Management Service. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters. Fixed Reports / Data Engineering jobs .

Management 68

Management Data Warehouse Interactive Reporting 68

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 71

Modeling Sales Data Warehouse Snapshot 71

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You also had the launch of smartphones.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

MAY 9, 2023

As AI becomes more pervasive, businesses need to feel confident that their models can be relied upon not to “hallucinate” facts or use inappropriate language when interacting with customers. With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs.

Data Warehouse 108

Data Warehouse Cost-Benefit Machine Learning Modeling 108

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Risk 89

Risk Data Lake Marketing Interactive 89

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Our team is focused on delivering insights and useful reporting to internal teams.

Metrics 52

Metrics Dashboards Sales Reporting 52

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. Visual analytics and data visualizations in action.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Domino Data Lab

APRIL 3, 2019

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Agile Manifesto get published. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. Also, implementation is costly and lengthy, often requiring consultants to build new reports or convert Discoverer reports to OBIEE.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. Most BI tools on the market provide an exhaustive set of customization options to build data visualizations. This post was co-written with Django Bouchez, Solution Engineer at Toucan.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Equip data science teams with the technical resources they need to be autonomous : full access to data, elastic use of compute resources (read: cloud). This is not that. Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 106

Data Lake Management Metrics Data Warehouse 106

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Interactive 94

Interactive Metadata Data Warehouse Data-driven 94

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). Many data science labs are set up as shared services.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52