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"data warehouse" Definitions
  1. a large amount of data that comes from different parts of a business and that is stored together

109 Sentences With "data warehouse"

How to use data warehouse in a sentence? Find typical usage patterns (collocations)/phrases/context for "data warehouse" and check conjugation/comparative form for "data warehouse". Mastering all the usages of "data warehouse" from sentence examples published by news publications.

A data warehouse architect is responsible for designing such data warehouse systems and improving existing ones to support businesses.
"What makes Presto so interesting is that it allows you to do data warehouse analytics without the data warehouse," Starburst CEO Borgman told me.
This service already lets you transfer your data warehouse data.
With Azure announcing the general availability of their SQL Server–based data warehouse in July, all three of the major cloud-hosting players (Amazon, Google and Microsoft) have a viable fully managed data warehouse offering.
No one got fired for using their cloud provider's managed data warehouse.
Google BigQuery, the company's fully managed data warehouse, is also getting an update.
Snowflake, the cloud-based data warehouse company, doesn't tend to do small rounds.
Morgan Stanley led a $1003 million Series D round in data warehouse virtualization company AtScale.
Snowflake, a company that's building a cloud data warehouse, has raised almost a billion dollars.
Today, the company announced a new direct integration between Kaggle and BigQuery, Google's cloud data warehouse.
Digital music service Spotify relies on GCP and boasts about BigQuery, a low-cost, high-powered data warehouse.
The key component that allowed this was the widespread adoption of AWS Redshift as the analytics data warehouse.
Beyond that, AWS could discuss a data warehouse service for storing data that's intended for neural network training.
In another wrinkle, Microsoft Azure does have a cloud-based data warehouse service that could compete with Snowflake.
In May, Business Insider reported JPMorgan tapped Snowflake's data warehouse to help the bank with its cloud strategy.
For example, in 2018, Amazon switched off its largest Oracle data warehouse and moved it to Amazon's Redshift.
Ellison said Oracle's software is stronger than Amazon's offerings, which include the Aurora database and Redshift data warehouse.
The CDP is like a central data warehouse for all the information you have on a single customer.
AWS' competitive products include Elastic MapReduce, for storing and processing different data types, and Redshift, a data warehouse system.
It's fitting in nicely of being a bring your own data warehouse (read: Redshift) plus a managed caching layer.
Snowflake, the cloud data warehouse, announced a partnership with Microsoft today to expand their offering to the Azure cloud.
Think Azure SQL Data Warehouse, Azure Blob Storage and Azure Data Lake, but also tools like Azure Active Directory.
Additionally, the company has been offering more subscription-friendly products like cloud data warehouse and database services, McIwain said.
But that didn&apost stop him from joining and building what was then the world&aposs largest data warehouse.
It's the same reason people's faces don't light up at the thought of a data warehouse (ok, settle down, nerds).
There is a lot of spending adjacent to the data warehouse, and Amazon is making a concerted grab for it.
Last year, Google introduced BigQuery ML. That service lets customers build models on top of their data warehouse using SQL.
County officials opened a "data warehouse" in 1999, which helped collect benefit and criminal records, as well as housing history.
Besides Google Cloud, Embrace also currently works with the $12.4 billion data warehousing startup Snowflake and Amazon's data warehouse Redshift.
That would usually mean building a data pipeline and data warehouse where users would pull information from Stripe before analyzing it.
Embrace will directly integrate with Google Cloud's data warehouse, BigQuery, allowing companies to run search and AI analytics on their data.
Alex Izydorczyk, Coatue's head of data science, cited Snowflake's initial position as a data warehouse as a reason the exchange is so appealing.
When running on Huawei's own cloud, GaussDB provides data warehouse services for customers across the board, from financial, logistics and education to automotive industries.
Google today announced a new service that makes the power of BigQuery, its analytics data warehouse, available in Sheets, its web-based spreadsheet tool.
In latest episode of "uh huh, keep talkin' Larry," Amazon's Consumer business turned off its Oracle data warehouse Nov 1 and moved to Redshift.
However, the growing dominance of Redshift as the default data warehouse for anyone on AWS, coupled with AWS's growth rate, make QuickSight well worth watching.
As companies collect data, they first built data warehouse and today what's called a data lake with different streams of data coming from various sources.
In a distributed system like a data warehouse, moving data becomes a problem — one that is typically managed by yet another layer in the system.
He made the move because he believed in what Snowflake was doing — building a SQL data warehouse service from the ground up for the cloud.
It then runs the applications through a virtual database running the schema and connects the old application with a cloud data warehouse like Amazon Redshift.
A data warehouse refers to the large store of information that a business accumulates from inside and outside sources in order to make better management decisions.
Besides fanning out this information to analytics services like Google Analytics and Mixpanel, or marketing tools like Marketo, all this data lands in a data warehouse.
Snowflake, makers of a cloud data warehouse service, announced a new virtual private product that should appeal to highly regulated companies like financial services and healthcare.
The company announced Tuesday it plans to acquire cloud migration company Alooma, which helps other companies move their data from multiple sources into one data warehouse.
Smyte offer customers access to its technology via a REST API, or it can pull data directly from its customer's app or data warehouse to analyze.
SOURCES OF INFORMATION The information below was used in the analysis: -Loan-by-loan data provided by the European Data Warehouse at beginning of April 2016.
Snowflake, the cloud-based data warehouse service, announced an enormous investment round today, pulling in a whopping $263 million on a unicorn valuation of $1.5 billion.
"The data exchange integrates with the warehouse, effectively, allowing data vendors to transfer data to customers' data warehouse without additional engineering effort," he said via email.
At some point, as your data warehouse or lake grows, the data starts overwhelming your network or available compute, even with today's highspeed networks and chips.
GDS's are a centralized data warehouse where all of the airlines push their inventory data in order to best coordinate all supply information, including routes and pricing.
Today, the company has expanded to using wholesale sell-in data, sell-through data, warehouse inventory data and other data sets to provide multiple insights to retailers.
When all your infrastructure is on AWS, Azure or Google Compute, it takes a very strong reason to not use your provider's fully managed data warehouse solution.
This includes building something as simple as a Slack bot using Personio data, to connecting Personio to a company's data-warehouse or deeper integrations with internal systems.
Just this week, the company announced a partnership with Snowflake, the cloud data warehouse startup that has raised almost a billion dollars, to run on Google Cloud Platform.
At Walmart, Kolhatkar oversaw a large global team responsible for its enterprise data warehouse, big data environment, real-time predictive analytics platform and business intelligence tools, Hulu says.
He foresees companies building businesses on top of the data stored in the Snowflake data warehouse much like companies have built businesses on top of the Salesforce platform.
On Tuesday, the $1.95 billion startup ThoughtSpot announced an expanded partnership with Google Cloud to launch its search and analytics product Embrace on BigQuery, Google Cloud's data warehouse.
"Incorta is poised to upend the data warehousing market with innovative technology that will end 30 years of archaic and slow data warehouse infrastructure," he said in a statement.
Several of the people said the project came together after Ascension spent millions of dollars on a data warehouse project that pulls together clinical information across its patient population.
For example, a customer could use Embrace to search its BigQuery data warehouse to find patterns that could help them improve their business, without having to move that data.
Well, GV (the former Google Ventures) is leading a $10 million round into Incorta, an analytics platform that purports to make the modern data warehouse a thing of the past.
Headquartered in Redwood City, California, Alooma helps enterprise companies streamline database migration in the cloud with a tool that enables moving data from multiple sources to a single data warehouse.
The hackers are said to have stolen the 78 million records over a month between October and November 2014 by transferring large archive files from Anthem's data warehouse back to China.
Alooma helps enterprise companies streamline database migration in the cloud with an innovative data pipeline tool that enables them to move their data from multiple sources to a single data warehouse.
Snowflake Computing, the company that built a Data Warehouse as a Service cloud solution, announced a $100 million Series D investment led by Iconiq Capital with help from Madrona Venture Group.
Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you've built custom applications that are based on that data.
Add some analyst and data infrastructure spending and you get a fully unified data warehouse in the sky for a fraction of what it cost Google, Facebook or Netflix 10 years ago.
What they're offering is a classic cloud play, a database that can do the job Oracle traditionally handled in-house without any of the management headaches associated with running a data warehouse.
Meanwhile, the emergence of a cheap and easy way to run a data warehouse (AWS's Redshift), has thrown a wrench in the general notion of a fully hosted, specialized event analytics offering.
The city still has more work to do, but most of its digital information now sits in a "data warehouse", a big computer system where it can be easily accessed and analysed.
That's according to financial website GOBankingRates, which analyzed data from real-estate site Zillow and property-data warehouse ATTOM, to find the top 10 best — and worst — states for flipping a house.
When Snowflake, the cloud data warehouse, landed a $9003 million investment earlier this year, CEO Bob Muglia speculated that it would be the last money his company would need before an eventual IPO.
Taxpayer information was moved to a new Memphis location dubbed the Cybersecurity Data Warehouse after scammers in 2015 exploited an IRS hole to successfully obtain the personal information of more than 350,000 taxpayers.
Using BigQuery ML, developers can build models using linear and logistical regression right inside their data warehouse without having to transfer data back and forth as they build and fine-tune their models.
Segment helps businesses manage all their data from services like Google Analytics, Mixpanel and Salesforce — and send that data to a variety of destinations, whether it's an attribution product or a data warehouse.
The DNC now has access to a state-of-the-art data warehouse and a Google-run cloud-based infrastructure that has added millions of new cellphone numbers in just the last year.
While today the company's product focuses mostly on Amazon Redshift as the data warehouse, they don't want to be limited to any one vendor and plan to provide support for other technologies over time.
The biggest news in the realm of business intelligence applications, or the applications that people use to pull data from the aforementioned data warehouse, has largely centered around the big three cloud-hosting providers.
Previously, Amazon CTO Werner Vogels said that his happiest day at Amazon was when the company turned off its largest Oracle data warehouse,and that its software is now moving faster because of it.
She noted that there exists plenty of potential for "cloud systems that exist above the clouds," since data warehouse facilities operating in space would have immediate benefits in terms of energy collection and thermal management.
It's interesting that a company with just 100 employees would require this kind of money, but as company COO Jason Snodgress told TechCrunch, it costs a lot of money to build out a data warehouse.
A data warehouse architect is the person responsible for designing how that information is securely stored as well as the technologies and tools that will best help an organization extract, transform and easily use that data.
You can then link directly to BigQuery through the tool's API, making it much simpler to query against the data in the data warehouse using SQL, a language data scientists tend to be very familiar with.
Never shy to compare its services to its competitors, Microsoft also notes that Azure SQL Data Warehouse can support up to 128 concurrent queries now, compared to the 50 that Amazon Redshift is currently limited to.
Because it is relatively easy to maintain, compared to dealing with the old school of databases (Aster, Vertica, Teradata, etc.), it quickly become the default starting point for a data warehouse for most growing tech companies.
"Sounds simple, but underneath it all is a huge data warehouse," Zhou said, speaking in the company's Beijing headquarters, which resembles less a traditional financial institution and more a tech startup with its exposed building materials and neon light.
Google is now making this part of the process a bit easier for the developers and data scientists in its ecosystem with BigQuery ML, a new feature of its BigQuery data warehouse, by building some machine learning functionality right into BigQuery.
The companies are taking it one step with further with this initial piece of the partnership by also providing connectors from Salesforce data to Google BigQuery, Google's data warehouse service, where users can combine this data with other enterprise datasets.
Asked to elaborate and help me cut through the data bullshit that most startups push these days, Boldt says that Gousto has a centralised data warehouse, with hundreds of real time dashboards to help power its "amazing data science capabilities".
In 2015, a new standard was emerging in how growing startups (as well as companies willing to live on the medium-rare edge) were dealing with BI. There was a return to the Unified Data Warehouse concept of the 1990s.
Cyral co-founder and CEO Manav Mital says the company's product acts as a security layer on top of cloud data repositories — whether databases, data lakes, data warehouse or other data repository — helping identify issues like faulty configurations or anomalous activity.
Why it's a good bet: Yellowbrick Data competes against data warehouse giants including Amazon and Oracle, but analysts say Yellowbrick's warehouse might have an edge over competitors because it delivers high performance for a lower price and is more flexible.
For instance, in a few clicks a business user will be able to send data from enterprise software like Microsoft Dynamics, Adobe Experience Platform or SAP's C/4HANA into the Azure Data Lake data warehouse service that's available in Microsoft's public cloud.
A possible solution to NPLs would be the creation of a single platform that acts as a data warehouse for bad debt, a transaction system and a trade data repository, the ECB said in an article that forms part of its biannual Financial Stability Review.
" He added that all donations to the fund would go toward DNC programs, including its grassroots initiative "Organizing Corps 2020" and its progressive-focused voter database "the Data Warehouse," as well as "the nationwide voter protection efforts that are essential to winning in 2020.
Hadoop is made up of these various projects to help users with the tasks they need to undertake when managing large sets of data, such as Hive, a data warehouse for Hadoop, and HBase, a scalable, distributed database — both of which are supported in AWS.
The tool looks at weather data, historical sales and information coming from sensors at the farm, and it combines all of that data to make predictions about avocado yields, making use of Oracle Autonomous Data Warehouse, Oracle Analytics Cloud and other services from the Oracle cloud stack.
"Given the fact that we've been doing data management for decades now, we can marry data storage and management," he noted and stressed that I/O bandwidth tends to be a major bottleneck for many of the analytics workloads that Microsoft's customers use SQL Data Warehouse for.
In practice, Salesforce customers can set up a direct connection using AWS Private Link to connect directly to private Salesforce APIs and move data from Salesforce to an Amazon service such as Redshift, the company's data warehouse product, without ever exposing the data to the open internet.
The tech is part of everything from Nasdaq's latest innovations and investments, such as the recently acquired alternative data provider Quandl, to systems that have been in place much longer, like the Nasdaq Data Warehouse, which includes tools around data analytics and reporting for its US markets.
" — Current Software Engineer See open jobs Work-Life Balance Rating: 4.7 Where Hiring: Salt Lake City What They Do: "The Health Catalyst data warehouse combines… architecture with a set of sophisticated analytic applications to enable our customers to realize measurable value within months of deploying our solutions.
He also noted that users will be able to better leverage their structured and unstructured data for building better machine learning models, as well as to perform more traditional analytics on all of their data instead of just a small slice that's available in their data warehouse.
As companies became more dependent on AWS' core computing and storage offerings, Amazon started rolling out adjacent products like databases, a content delivery network and a data warehouse service, and then began upgrading its products so they could be used in highly regulated industries like banking and health care.
Sure, you can store it in a data warehouse, but at the end of the day, you end up with a large number of datasets that are very similar, or different versions of an original dataset, or information that has been transformed so it can be used by different tools.
That's obviously a long way off, but a chatbot well-versed in conversation and hooked up to a data warehouse with a complete psychological profile of you, the customer, might be able to make a sale using information synthesized with persuasive measures that a regular human just wouldn't be able to tap into.
To find the best and worst states for flipping a house, GOBankingRates analyzed data from real-estate site Zillow and property-data warehouse ATTOM in four key categories: median house listing price, the average number of days it takes to flip a house, average gross profit on flipping and average gross return on investment.
There were solutions to deal with analyzing and visualizing it once it was in a data warehouse, but there were few solutions for processing that data quickly, aimed at people whose primary job did not involve coding or IT. With a problem to solve, they set about building a cloud service and launched the company in 2013.
The Alooma platform focuses on three problems: connecting to multiple data sources such as Cassandra, ElasticSearch, MySQL and many others  without a lot of fuss, transforming and cleaning all of the data very quickly, then loading it into a data warehouse (right now that is mostly Amazon Redshift) and finally using the Python coding language to write business logic on top of the data.
" According to the report, agency employees in several regions said that following the 2017 hurricanes, IT-related issues in FEMA's data warehouse, which is used to perform a number of agency responsibilities, resulted in a "significant effect on FEMA's ability to perform critical work" because it "slowed the processing of hundreds of thousands of individual assistance applications for disaster survivors who had suffered damage or loss to their personal property.

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