Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction. higher cost.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow automatically encrypts data in motion, and allows you to restrict data from flowing over the public internet for SaaS applications that are integrated with AWS PrivateLink , reducing exposure to security threats. He has worked with building data warehouses and big data solutions for over 13 years.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

Data Warehouse 111

Data Warehouse Data Processing Data Lake Management 111

AWS Big Data

JUNE 21, 2023

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. These types of queries are suited for a data warehouse. This is called index overloading.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

Jet Global

MAY 28, 2019

The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data. All About That (Data)Base. Enter the Warehouse.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

NOVEMBER 14, 2024

This interoperability is crucial for enabling seamless data access, reducing data silos, and fostering a more flexible and efficient data ecosystem. Delta Lake UniForm is an open table format extension designed to provide a universal data representation that can be efficiently read by different processing engines.

Metadata 122

Metadata Data Warehouse Big Data Data Lake 122

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Data analysis and exploration.

IT 135

IT Metadata Data-driven Data Governance 135

Jet Global

NOVEMBER 2, 2020

Interestingly, you can address many of them very effectively with a data warehouse. First of all, many companies have accumulated quite a lot of historical data. The process of exporting the data, filtering them, cleansing them, and reformatting them for the new system is time-consuming and costly. Probably not.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In later pipeline stages, data is converted to Iceberg, to benefit from its read performance.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

AWS Big Data

OCTOBER 14, 2024

Enterprise data is brought into data lakes and data warehouses to carry out analytical, reporting, and data science use cases using AWS analytical services like Amazon Athena , Amazon Redshift , Amazon EMR , and so on. Can it also help write SQL queries? The answer is yes.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. To maintain the right level of access, the company wants to restrict data visibility based on the users role and region.

Visualization 102

Visualization Sales Data Warehouse Management 102

BI-Survey

NOVEMBER 19, 2018

S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-house.

Data Warehouse 66

Data Warehouse Reporting Optimization Risk 66

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 105

Sales Metadata Enterprise Testing 105

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. Common use cases for historical record management in CDC scenarios span various domains.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. With this feature, you can how include Amazon DataZone in your existing data pipeline processes to catalog, share, and govern data.

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 119

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors. Let’s get started!

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

DataKitchen

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. DataOps is a hot topic in 2021.

Testing 300

Testing Machine Learning Consulting Data Science 300

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. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

FineReport

JULY 1, 2021

With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. Data warehouse. The data warehouse is a core component of business intelligence technologies. BI Technology Meaning.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

AWS Big Data

JUNE 2, 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 analytic workloads. This pre-built solution scales to load data in parallel using input parameters. An S3 bucket.

Metadata 135

Metadata Data Warehouse Big Data Analytics 135

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Data Warehouse. Data Analysis.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Jet Global

NOVEMBER 5, 2020

To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting has traditionally relied on a data warehouse.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 119

Data Lake Data Warehouse Metadata Data Architecture 119

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. Data with this secured data classification is stored in encrypted form both in the data warehouse and in their data lake.

Data Lake 119

Data Lake Data Warehouse Management Risk 119

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What is the current data infrastructure? Do you have a data warehouse?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

AWS Big Data

NOVEMBER 30, 2023

This integration simplifies the authentication and authorization process for Amazon Redshift users using Query Editor V2 or Amazon Quicksight , making it easier for them to securely access your data warehouse. Note: Your organization’s IdC instance must be in the same region as the Amazon Redshift data warehouse you’re connecting to.

Data Warehouse 110

Data Warehouse Finance Sales Management 110

AWS Big Data

JUNE 10, 2024

One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. Sample data downloaded to the S3 bucket.

Data Lake 116

Data Lake Metadata Data Warehouse Data Processing 116

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases. and/or its affiliates in the U.S.

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. One familiar task in most downstream applications is change data capture (CDC) and applying it to its target tables.

Data Warehouse 124

Data Warehouse OLAP Risk Online Analytical Processing 124

Jet Global

JANUARY 20, 2021

Add web analytics, digital marketing automation, and social media to the mix, and the volume of data grows even further. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable. You must define and deploy these two elements of data management separately to ensure efficiency.

Data Analytics 95

Data Analytics Management Analytics Data Warehouse 95

Occam's Razor

JANUARY 24, 2011

The way OOD manifests itself is that in every website and web business I work with I am obnoxiously persistent in helping identify the desired outcomes of the site / business before I ever log into their web analytics data. Equipment lookups, lots of downloads, decision-making tools, quote requests for renting equipment, etc.

Analytics 123

Analytics Finance B2B Reporting 123

FineReport

AUGUST 14, 2020

The reporting system is a general term applied to a wide range of applications that extract data from databases, organize these data into reports, manage and distribute these reports to the decision-makers to help them make better-informed business choices. You can download it for a free trial. You might also be interested in….

Reporting 98

Reporting Informatics OLAP Data Warehouse 98