Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. That Was Then. Learn More, Keep in Touch.

Data Warehouse 99

Data Warehouse Machine Learning Visualization Data Lake 99

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 85

Data Warehouse Cost-Benefit Metadata Data-driven 85

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. You could optimize your table now or at a later stage using the “rewrite_data_files” procedure.

Snapshot 72

Snapshot Metadata Data Warehouse Testing 72

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake. The Data Scientist.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . You can also contact your sales representative to book a demo.

Data Warehouse 92

Data Warehouse Optimization Analytics Sales 92

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 112

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 112

Jet Global

SEPTEMBER 4, 2020

For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Timo Elliott

OCTOBER 3, 2019

Richard Mooney showed off some of the new possibilities, with a demo of natural language querying, powered by machine learning. Karsten Ruf , in turn, took the audience through the detailed SAP roadmap around BW4/HANA V2 and the brand-new SAP Data Warehouse cloud. People, collaboration, and ease of use.

Data Warehouse 63

Data Warehouse Digital Transformation Machine Learning Strategy 63

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. Spreadsheets enabled finance professionals to access data faster and to crunch the numbers with much greater ease. Request a free demo and take the first step to leveling-up your organization.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Request your own demo of erwin DI. The post Do I Need a Data Catalog?

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

IBM Big Data Hub

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) .” For example, the core systems technology landscape for each state could be a mainframe legacy system with varying degrees of maturity, portability, reliability and scalability.

Consulting 80

Consulting Cost-Benefit Technology ROI 80

AWS Big Data

MARCH 2, 2023

S3FileIO" } } This sets the following Spark session configurations: spark.sql.catalog.demo – Registers a Spark catalog named demo, which uses the Iceberg Spark catalog plugin. spark.sql.catalog.demo.catalog-impl – The demo Spark catalog uses AWS Glue as the physical catalog to store Iceberg database and table information.

Data Lake 119

Data Lake Data Processing Metadata Snapshot 119

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. This will ensure that you have the information you need to optimize your marketing spend.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 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. The Verify your Login to Demo App page opens.

Analytics 59

Analytics Data-driven Management Reporting 59

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. Indexed data can be quickly joined across different datasets and aggregated at different levels of precision.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

Jet Global

JANUARY 6, 2021

By taking the time to understand the detailed parameters that define functional access to the system for each user type, companies can choose a licensing plan that best suits their needs, optimizing costs in the process. Business leaders should also take note of discounts that are available to existing Microsoft Dynamics customers.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

Jet Global

JANUARY 15, 2020

Compromised accuracy will in turn result in compromised financial intelligence, with understanding based on erroneous results and decisions based on bad data. Data and information are the basis for financial intelligence, sound decision making, and optimal action. Contact us today for a free demo.

IT 59

IT Finance Reporting Data-driven 59

Alation

SEPTEMBER 7, 2021

Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. But governance is a time-consuming process (for users and data stewards alike). Two problems arise. Subscribe to Alation's Blog.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Ms SQL Girl

MARCH 30, 2015

Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources.

Dashboards 40

Dashboards Visualization KPI Interactive 40

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 89

Data Warehouse Metrics Statistics Optimization 89

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher).

Data Warehouse 86

Data Warehouse Analytics Metrics Dashboards 86

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Their cluster size of the provisioned data warehouse didn’t change.

Data Warehouse 59

Data Warehouse Analytics Testing Cost-Benefit 59

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Snapshot 94

Snapshot Metadata Cost-Benefit Data Warehouse 94

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

IBM Big Data Hub

APRIL 8, 2024

AWS ran a live demo to show how to get started in just a few clicks. 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   Scalability 5.   17.

Snapshot 69

Snapshot Data Warehouse Data Processing Management 69

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables. Set Data processing units to 1/16 DPU.

Data Lake 92

Data Lake Data Processing Metadata Snapshot 92

IBM Big Data Hub

DECEMBER 7, 2023

This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems. C-OLAP optimized data storage for faster query processing, while IM-OLAP stored data in memory to minimize data access latency and enable real-time analytics.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

IBM Big Data Hub

OCTOBER 4, 2023

In fact, according in an IDC DataSphere study, IDC estimated that 10,628 exabytes (EB) of data was determined to be useful if analyzed, while only 5,063 exabytes (EB) of data (47.6%) was analyzed in 2022. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

Jet Global

DECEMBER 2, 2019

However, reporting this way is not only necessary, but it is also optimal for many financial and operational tasks – where you need to see what is happening right at this moment and dive into individual, detailed transactions that compose the numbers the report reveals. That “INSTANT” part is one final important emphasis.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Cloudera

JULY 13, 2023

During query planning, Impala front end will analyze table metadata such as partition information, data files, and statistics to come up with an optimized execution plan. To learn more: For more on Iceberg manifest caching configuration in In Cloudera Data Warehouse (CDW), please refer to [link].

Metadata 73

Metadata Snapshot Data Warehouse Statistics 73

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Jet Global

JULY 11, 2019

As an essential component of supply chain planning, demand forecasting is used by manufacturers, distributors, and retailer to provide insight into their operations and to make informed, profitable decisions on pricing, inventory stock, resource optimization, and more. Inventory optimization to reduce stock-out and overstocking.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72