Expert insights. Personalized for you.
Learn what a cloud data warehouse is and what distinguishes it from traditional DWHs. Explore what market leaders offer and check how-to-mitigate-the-risk recommendations MORE
ScienceSoft provides expertise on the components of data warehouse pricing and the ranges of DWH costs MORE
It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage arrays enabling a high-performance system optimized for business insight as well as advanced operational and in-database analytics MORE
Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. Data migration and integration. MORE
The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. Ideas big data Data Governance data management systems data swamps data virtualization Denodo Platform Logical Data Warehouse MORE
This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. roll-ups of many rows of data). Then, you may be one of many who opt to use a Redshift Warehouse. MORE
The survey says relational database services is the most popular extended cloud service and “data warehouse moved up significantly to the third position.” The following topics outline the advantages of data storage and the enterprise data warehouse (EDW) in the cloud. MORE
The greatest grandmasters in chess think five moves ahead. In IT, even thinking five moves ahead isn’t enough. MORE
In a previous blog , I explained how data science capabilities, massive parallel processing (MPP). and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it. MORE
It greatly empowers end users to accomplish data management tasks with little to no assistance from IT. An ADW data warehouse can be provisioned in minutes, can scale to petabyte level, can be turned on and off by the end user and supports cloning of entire databases in a couple of minutes. MORE
Our methodology requires minimal data movement leveraging direct connectivity from Oracle Analytics Cloud (OAC) or Server (on-premises OBIEE). Consolidated reporting of EPM financials with other data sources, such ERP, CX, HCM or a Data Warehouse. MORE
Though the enterprise data warehouse (EDW) has traditionally been the repository for historical data such as sales and financials, it is quickly evolving to meet the demands of new technologies MORE
One of the cloud offerings is Oracle Autonomous Data Warehouse. Oracle Autonomous Data Warehouse makes it easy to create a secure, fully managed Data Warehouse service in the Oracle cloud. You can start loading and analyzing your data immediately. It’s built around the Oracle database and comes with fully automated data warehouse specific features that deliver outstanding query performance. MORE
Creating a new Oracle Autonomous Data Warehouse (ADW) Cloud instance is a quick task. But migrating data over from one or more other Oracle databases will require a few steps. The overall process consists of 3 mains steps: Export Data into Dump Files. MORE
S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. Cloud data management components, by company size (number of employees), n=170. BI and Data Management in the Cloud Report. MORE
We’ve released a connector that sends data from Mixpanel to Amazon Redshift Spectrum, Google BigQuery, Snowflake, Google Cloud Storage and Amazon S3. Mixpanel provides an intuitive way to analyze that data to identify behavioral trends and their causes. Up-to date, GDPR-friendly data. MORE
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. MORE
We are proud to announce the general availability of Cloudera Altus Data Warehouse , the only cloud data warehousing service that brings the warehouse to the data. Modern data warehousing for the cloud. Using Cloudera Altus for your cloud data warehouse. MORE
Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Director of Products and Solutions, Arcadia Data. MORE
If you’ve heard the debate among IT professionals about data lakes versus data warehouses, you might be wondering which is better for your organization. You might even be wondering how these two approaches are different at all MORE
Understand the differences between the two most popular options for storing big data MORE
With Oracle Autonomous Data Warehouse (ADW), the Business Analyst is now able to be the real owner of the database layer. This creates a great opportunity for the various departments to directly tap into data technologies, something that they’ve been, to some extent, forbidden to do. MORE
Why are most organizations replatforming and moving to a modern data warehouse? Instead, they are guided by data serving up answers to questions, perhaps asked by experts who are in those boardrooms. This requires direct and fast access to data and lots of it. MORE
Explore our step-by-step guide on how to build a data warehouse avoiding possible risks MORE
With the rise of new data streams, the ability to access more data and derive insights from it more quickly is critical. By 2023, worldwide revenue for big data solutions will reach $260 billion.* Automate data organization, optimize workloads, and more. MORE
Choosing the right solution to warehouse your data is just as important as how you collect data for business intelligence. To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Choosing the Right Warehouse. MORE
Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. MORE
However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. New data types need to be quickly joined with existing data sets. MORE
The same holds true for working with data. But without a solid understanding of what data can do for their organization, how to effectively store and harness that data, and a strategic, deliberate approach to such endeavors, their efforts may cause more harm than good. MORE
Explore what architectural approaches are employed to design a data warehouse and choose what DWH structure is beneficial for your business MORE
Oracle Analytics Cloud (OAC) and Oracle Autonomous Data Warehouse (ADW) are setting the standard for cloud-based data warehouse and analytics deployments with respect to speed to value, flexibility, performance, self service and advanced capabilities like AI and natural language queries. MORE
It is a thought-provoking, long, and crucial process to create an enterprise data warehouse (EDW) stocked with relevant data. A proper enterprise data strategy can empower a business. The International Data Corporation (IDC) estimates the amount of data in the world will reach 163 trillion gigabytes by 2025. Scientists and doctors have a lot of data to base their research upon. Proving data has the biggest potential to revolutionize healthcare. MORE
Are you extracting maximum insights from your data? Data is the same. Conventional data warehouses can’t handle the volume, complexity, and variety of today’s data, and they can’t empower all your teams to access and analyze that data in real time. MORE
Understand Data Warehouse, Data Lake and Data Vault and their specific test principles. This blog tries to throw light on the terminologies data warehouse, data lake and data vault. Let us begin with data warehouse. Data Warehouse. MORE
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. Let’s talk about big data and Apache Impala. Let’s say they’re not working with large-scale data sets. MORE
Siloed data-storage systems were preventing a large and fast-growing franchisor and operator of fitness centers from gaining important insights to drive further business growth. Access to and visibility of critical customer data was unleashed with the help of Sirius. MORE
The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. MORE
Is your job composed of data analysis? Are you in charge of mapping or testing a healthcare enterprise data warehouse (EDW) implementation? Are you working with programs on Oracle, DB2, Google BigQuery or Db2 Warehouse on Cloud? Organizations are continuously integrating data from electronic medical records (EMR), pharmacy reports and numerous other systems. There are many success stories of using EDW data to improve patient safety. MORE
Explore the benefits your company can obtain by following 2020 market trends for implementing a data warehouse MORE
In the business landscape of 2019, data is the only currency that matters. But the foundational step in getting the data to drive your business forward is first ensuring it can be collected and identified in a way that makes it simple to find and report on with the insights that matter. MORE
When speaking with customers, I often hear that they are committed to digital transformation and being a data-driven enterprise. A better understanding of all the data related to patients, aggregated over time, can help healthcare develop better treatment methods and faster cures. MORE
Find out what a big data warehouse is and what benefits it brings to the decision-making process MORE
Learn about the difference between a data lake and a big data warehouse, and define how to structure your big data solution in accordance with your business needs MORE
Traditional data warehouse solutions were originally developed out of necessity. The data captured from these traditional data sources is stored in relational databases comprised of tables with rows and columns and is known as structured data. So how do you make the data gathered more useful? This process begins with data consolidation tools like Informatica or Oracle Data Integrator. What is Big Data? Multi-Structured Data. MORE
Data Warehouse Related Topics 
David Menninger's Analyst Perspectives
MAY 7, 2020
In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.
Corinium
APRIL 29, 2019
Are you extracting maximum insights from your data? Data is the same. Conventional data warehouses can’t handle the volume, complexity, and variety of today’s data, and they can’t empower all your teams to access and analyze that data in real time.
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Corinium
MAY 27, 2019
With the rise of new data streams, the ability to access more data and derive insights from it more quickly is critical. By 2023, worldwide revenue for big data solutions will reach $260 billion.* Automate data organization, optimize workloads, and more.
Cloudera
SEPTEMBER 9, 2018
We are proud to announce the general availability of Cloudera Altus Data Warehouse , the only cloud data warehousing service that brings the warehouse to the data. Modern data warehousing for the cloud. Using Cloudera Altus for your cloud data warehouse.
ScienceSoft
MARCH 16, 2020
ScienceSoft provides expertise on the components of data warehouse pricing and the ranges of DWH costs
DataCamp
JANUARY 6, 2020
Understand the differences between the two most popular options for storing big data
Cloudera
SEPTEMBER 10, 2018
Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Director of Products and Solutions, Arcadia Data.
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Sisense
SEPTEMBER 3, 2019
This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. roll-ups of many rows of data). Then, you may be one of many who opt to use a Redshift Warehouse.
TDAN
MARCH 17, 2020
The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists.
ScienceSoft
DECEMBER 23, 2019
Explore the benefits your company can obtain by following 2020 market trends for implementing a data warehouse
Cloudera
MAY 5, 2020
When speaking with customers, I often hear that they are committed to digital transformation and being a data-driven enterprise. A better understanding of all the data related to patients, aggregated over time, can help healthcare develop better treatment methods and faster cures.
ScienceSoft
FEBRUARY 20, 2020
Find out what a big data warehouse is and what benefits it brings to the decision-making process
Perficient Data & Analytics
JULY 23, 2019
The survey says relational database services is the most popular extended cloud service and “data warehouse moved up significantly to the third position.” The following topics outline the advantages of data storage and the enterprise data warehouse (EDW) in the cloud.
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ScienceSoft
NOVEMBER 28, 2019
Learn what a cloud data warehouse is and what distinguishes it from traditional DWHs. Explore what market leaders offer and check how-to-mitigate-the-risk recommendations
Perficient Data & Analytics
NOVEMBER 8, 2019
Oracle Analytics Cloud (OAC) and Oracle Autonomous Data Warehouse (ADW) are setting the standard for cloud-based data warehouse and analytics deployments with respect to speed to value, flexibility, performance, self service and advanced capabilities like AI and natural language queries.
ScienceSoft
JANUARY 9, 2020
Explore our step-by-step guide on how to build a data warehouse avoiding possible risks
Jet Global
MAY 28, 2019
In the business landscape of 2019, data is the only currency that matters. But the foundational step in getting the data to drive your business forward is first ensuring it can be collected and identified in a way that makes it simple to find and report on with the insights that matter.
ScienceSoft
FEBRUARY 3, 2020
Explore what architectural approaches are employed to design a data warehouse and choose what DWH structure is beneficial for your business
Perficient Data & Analytics
FEBRUARY 27, 2020
Our methodology requires minimal data movement leveraging direct connectivity from Oracle Analytics Cloud (OAC) or Server (on-premises OBIEE). Consolidated reporting of EPM financials with other data sources, such ERP, CX, HCM or a Data Warehouse.
IBM Big Data Hub
MARCH 11, 2019
Though the enterprise data warehouse (EDW) has traditionally been the repository for historical data such as sales and financials, it is quickly evolving to meet the demands of new technologies
Perficient Data & Analytics
FEBRUARY 6, 2020
With Oracle Autonomous Data Warehouse (ADW), the Business Analyst is now able to be the real owner of the database layer. This creates a great opportunity for the various departments to directly tap into data technologies, something that they’ve been, to some extent, forbidden to do.
ScienceSoft
FEBRUARY 28, 2020
Learn about the difference between a data lake and a big data warehouse, and define how to structure your big data solution in accordance with your business needs
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. Let’s talk about big data and Apache Impala. Let’s say they’re not working with large-scale data sets.
Birst BI
FEBRUARY 25, 2020
Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead.
Perficient Data & Analytics
DECEMBER 13, 2019
Creating a new Oracle Autonomous Data Warehouse (ADW) Cloud instance is a quick task. But migrating data over from one or more other Oracle databases will require a few steps. The overall process consists of 3 mains steps: Export Data into Dump Files.
Mixpanel on Data
FEBRUARY 5, 2019
We’ve released a connector that sends data from Mixpanel to Amazon Redshift Spectrum, Google BigQuery, Snowflake, Google Cloud Storage and Amazon S3. Mixpanel provides an intuitive way to analyze that data to identify behavioral trends and their causes. Up-to date, GDPR-friendly data.
Sirius Computer Solutions
JULY 22, 2019
Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. Data migration and integration.
IBM Big Data Hub
NOVEMBER 15, 2018
If you’ve heard the debate among IT professionals about data lakes versus data warehouses, you might be wondering which is better for your organization. You might even be wondering how these two approaches are different at all
Cloudera
SEPTEMBER 17, 2018
However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. New data types need to be quickly joined with existing data sets.
Cloudera
AUGUST 28, 2019
Why are most organizations replatforming and moving to a modern data warehouse? Instead, they are guided by data serving up answers to questions, perhaps asked by experts who are in those boardrooms. This requires direct and fast access to data and lots of it.
Sirius Computer Solutions
MARCH 22, 2019
Siloed data-storage systems were preventing a large and fast-growing franchisor and operator of fitness centers from gaining important insights to drive further business growth. Access to and visibility of critical customer data was unleashed with the help of Sirius.
Perficient Data & Analytics
JUNE 5, 2018
Is your job composed of data analysis? Are you in charge of mapping or testing a healthcare enterprise data warehouse (EDW) implementation? Are you working with programs on Oracle, DB2, Google BigQuery or Db2 Warehouse on Cloud? Organizations are continuously integrating data from electronic medical records (EMR), pharmacy reports and numerous other systems. There are many success stories of using EDW data to improve patient safety.
Perficient Data & Analytics
APRIL 30, 2018
One of the cloud offerings is Oracle Autonomous Data Warehouse. Oracle Autonomous Data Warehouse makes it easy to create a secure, fully managed Data Warehouse service in the Oracle cloud. You can start loading and analyzing your data immediately. It’s built around the Oracle database and comes with fully automated data warehouse specific features that deliver outstanding query performance.
Perficient Data & Analytics
JULY 22, 2019
It greatly empowers end users to accomplish data management tasks with little to no assistance from IT. An ADW data warehouse can be provisioned in minutes, can scale to petabyte level, can be turned on and off by the end user and supports cloning of entire databases in a couple of minutes.
Perficient Data & Analytics
MARCH 12, 2019
Understand Data Warehouse, Data Lake and Data Vault and their specific test principles. This blog tries to throw light on the terminologies data warehouse, data lake and data vault. Let us begin with data warehouse. Data Warehouse.
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. Cloud data management components, by company size (number of employees), n=170. BI and Data Management in the Cloud Report.
3AG Systems
AUGUST 7, 2019
The same holds true for working with data. But without a solid understanding of what data can do for their organization, how to effectively store and harness that data, and a strategic, deliberate approach to such endeavors, their efforts may cause more harm than good.
Perficient Data & Analytics
MAY 24, 2018
It is a thought-provoking, long, and crucial process to create an enterprise data warehouse (EDW) stocked with relevant data. A proper enterprise data strategy can empower a business. The International Data Corporation (IDC) estimates the amount of data in the world will reach 163 trillion gigabytes by 2025. Scientists and doctors have a lot of data to base their research upon. Proving data has the biggest potential to revolutionize healthcare.
IBM Big Data Hub
AUGUST 5, 2019
In a previous blog , I explained how data science capabilities, massive parallel processing (MPP). and usability improvements in data warehouse appliances can help the bottom line—and why old-fashioned architectures might not cut it.
IBM Big Data Hub
OCTOBER 1, 2018
It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage arrays enabling a high-performance system optimized for business insight as well as advanced operational and in-database analytics
Data Virtualization
MAY 21, 2019
The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms: data lakes, IoT architectures, noSQL and graph data stores, SaaS vendors, etc. Ideas big data Data Governance data management systems data swamps data virtualization Denodo Platform Logical Data Warehouse
Perficient Data & Analytics
SEPTEMBER 17, 2018
Traditional data warehouse solutions were originally developed out of necessity. The data captured from these traditional data sources is stored in relational databases comprised of tables with rows and columns and is known as structured data. So how do you make the data gathered more useful? This process begins with data consolidation tools like Informatica or Oracle Data Integrator. What is Big Data? Multi-Structured Data.
IBM Big Data Hub
JANUARY 30, 2018
The greatest grandmasters in chess think five moves ahead. In IT, even thinking five moves ahead isn’t enough.
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