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.

Data Warehouse 195

Data Warehouse Data Quality Data-driven IT 195

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.

Data Warehouse 195

Data Warehouse Optimization Machine Learning Big Data 195

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.

Data Warehouse 60

Data Warehouse Reporting Machine Learning Optimization 60

ScienceSoft

FEBRUARY 20, 2020

Find out what a big data warehouse is and what benefits it brings to the decision-making process

Data Warehouse 56

Data Warehouse Big Data IT 56

DataCamp

JANUARY 6, 2020

Understand the differences between the two most popular options for storing big data

Data Lake 89

Data Lake Data Warehouse Big Data 89

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.

Data Warehouse 74

Data Warehouse Unstructured Data Internet of Things Enterprise 74

ScienceSoft

DECEMBER 23, 2019

Explore the benefits your company can obtain by following 2020 market trends for implementing a data warehouse

Data Warehouse 52

Data Warehouse Marketing 52

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.

Data Warehouse 80

Data Warehouse OLAP Statistics Optimization 80

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.

Data Warehouse 52

Data Warehouse Enterprise Optimization Digital Transformation 52

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

Data Warehouse 68

Data Warehouse Risk Marketing IT 68

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.

Data Warehouse 61

Data Warehouse Snapshot Machine Learning Forecasting 61

ScienceSoft

JANUARY 9, 2020

Explore our step-by-step guide on how to build a data warehouse avoiding possible risks

Risk 52

Risk Data Warehouse 52

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

Data Warehouse 52

Data Warehouse 52

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.

Data Warehouse 72

Data Warehouse Risk IoT Testing 72

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.

Data Warehouse 54

Data Warehouse KPI Metrics Data Integration 54

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.

Data Warehouse 91

Data Warehouse OLAP Sales Business Intelligence 91

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

Data Warehouse 91

Data Warehouse Sales Enterprise Technology 91

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.

Data Warehouse 52

Data Warehouse Marketing Data Lake Big Data 52

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.

Data Warehouse 52

Data Warehouse IT Analytics 52

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.

Data Warehouse 70

Data Warehouse Testing Risk IT 70

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.

Data Warehouse 83

Data Warehouse Business Intelligence Data Architecture Consulting 83

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.

Data Warehouse 52

Data Warehouse Structured Data Data-driven Data Processing 52

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.

Data Warehouse 60

Data Warehouse Optimization Unstructured Data Visualization 60

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

Data Lake 87

Data Lake Data Warehouse IT 87

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.

Data Warehouse 59

Data Warehouse Sales Visualization Measurement 59

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.

Data Warehouse 75

Data Warehouse Prescriptive Analytics Statistics Reporting 75

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.

Data Lake 56

Data Lake Testing Data Warehouse Data Quality 56

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.

Data Warehouse 46

Data Warehouse Enterprise Measurement Data-driven 46

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.

Data Warehouse 40

Data Warehouse Machine Learning Optimization Management 40

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.

Data Warehouse 52

Data Warehouse Reporting Machine Learning Analytics 52

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.

Data Warehouse 75

Data Warehouse Reporting Risk Optimization 75

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.

Data Warehouse 78

Data Warehouse Data Science IT 78

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.

Data Warehouse 45

Data Warehouse Strategy Enterprise Data-driven 45

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 Warehouse 87

Data Warehouse Machine Learning Optimization Big Data 87

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

Data Lake 43

Data Lake IoT Data Warehouse Data Governance 43

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.

Data Warehouse 88

Data Warehouse Strategy IT 88

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.

Data Warehouse 41

Data Warehouse Unstructured Data Structured Data Big Data 41

IBM Big Data Hub

JUNE 14, 2019

Learn why you need a ata-science-focused appliance like the IBM Integrated Analytics System, offering a 45 percent lower 5-year TCO over the competition

Data Warehouse 77

Data Warehouse Analytics 77

IBM Big Data Hub

JUNE 3, 2019

More businesses are looking to do this by adopting public cloud deployments for their data management needs According to a recent IDC report , 79 percent of enterprises are currently investing in a hybrid cloud environment or have planned to invest in towards one in the next twelve months.

Data Warehouse 77

Data Warehouse Reporting Enterprise Management 77

Cloudera

AUGUST 2, 2018

How do you know when your Data Warehousing solution is working well? True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. We call it ‘Modern Data Warehousing’.

Insurance 81

Insurance Data Warehouse Experimentation Software 81

Sisense

FEBRUARY 17, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Dashboards 52

Dashboards Metadata Data Warehouse Optimization 52

Perficient Data & Analytics

FEBRUARY 25, 2020

Also, there is great value in enabling navigation from summarized financials out of EPM, to more detailed transaction-level data out of other applications. And ADW offers the fastest time to value when it comes to data consolidation across multiple sources for cross-functional analytics.

Reporting 61

Reporting Forecasting Analytics Dashboards 61

Perficient Data & Analytics

JULY 18, 2019

We were assessing a green-field implementation for a Data Warehouse at a mid-sized company. It should be noted that in the cloud TCO we greatly over-estimated data transfer, processing, and storage costs.

Software 71

Software Data Warehouse IT Strategy 71