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 82

Metrics Slice and Dice Data Warehouse Dashboards 82

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 68

Analytics Data Warehouse Data Lake Metadata 68

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? Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

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.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

IBM Big Data Hub

JULY 5, 2022

Back in the 1960s and 70s, vast amounts of data were stored in the world’s new mainframe computers—many of them IBM System/360 machines—and had become a problem. Finally, 13 years after Codd published his paper, IBM Db2 on z/OS was born, and 10 years after that the first IBM Db2 database for LUW was released. . They were expensive.

Data Lake 93

Data Lake Data Warehouse Publishing Structured Data 93

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 98

Data Lake Sales Data Warehouse Snapshot 98

Ontotext

NOVEMBER 16, 2023

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Mesh emerges when teams use other domains’ data products and the domains communicate with others in a governed manner.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

FineReport

FEBRUARY 12, 2020

Where- Where to publish and put this report? Determine the source of the data . Which database are the data from? Enterprise data warehouse? What database tables are the data from? Where to publish the report after designed? Publish to the reports management platform or the mobile terminal?

Reporting 98

Reporting Metrics ROI Software 98

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

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

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 113

Data Strategy Strategy Machine Learning Data-driven 113

Jet Global

JULY 23, 2019

It contains a large selection of data visualizations, connects to nearly every data source imaginable, includes all the data connection and transformation capabilities of Power Query, and allows completed dashboards to be shared or published to PowerBI.com. Power BI Desktop opens a new era in data analysis and reporting.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

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

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

Jet Global

OCTOBER 10, 2019

Power BI is full of amazing pre-built visualizations, but your business is unique, and so are your data needs. Custom visuals can be used by anyone with the Power BI platform who needs better filtering options, detailed charts, interactive drill-down capabilities, or even industry-specific visuals to improve their dashboards and reports.

Visualization 56

Visualization Dashboards KPI Reporting 56

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. million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

JUNE 14, 2023

Again, this means a data culture is about your people, both technical and non-technical. “We We all live in a world where data drives our supply chain,” Lavorini says. These are people who just touch and interact with and are affected by data constantly, every day.” The focus areas of these teams include: 1.

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 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

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

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 91

Data Warehouse Cost-Benefit Dashboards Optimization 91

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

FineReport

APRIL 21, 2024

Limited Interactivity Even after overcoming logistical and analytical hurdles to deploy embedded dashboards, the challenges persist. Empowering client-facing analysts to drive customization without extensive backend involvement is crucial for overcoming the limitations of traditional BI tools and enhancing interactivity.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. Run the script using the following command: /script.sh

Analytics 57

Analytics Data-driven Management Reporting 57

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? Summing Up.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

APRIL 8, 2024

In our recent  webcast , IBM, AWS, customers and partners came together for an interactive session. Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS

Snapshot 74

Snapshot Data Warehouse Data Processing Management 74

Insight

MAY 20, 2020

Getting started with Spark In perusing much of the freely available published material on getting started with Spark, many recommend getting started with a local installation (on one machine) and then moving to having it installed on a cluster of machines. Keep in mind that spark-shell is meant to be an interactive sandbox.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

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. BI Interactive Reports or Dashboards.

Management 68

Management Data Warehouse Interactive Reporting 68

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 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Ontotext

FEBRUARY 12, 2024

It proposes a technological, architectural, and organizational approach to solving data management problems by breaking up the monolithic data platform and de-centralizing data management across different domain teams and services. Once these domains interact and share data with each other, the mesh emerges.

IT 64

IT Metadata Data Quality Data Lake 64

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 66

Modeling Sales Data Warehouse Snapshot 66