What is Big Data and why should it matter to my business?
What is 1010data?
How is 1010data different from other Big Data solutions?
Are there other ways 1010data can add value to my business?
Are there ways to monetize our data when it's in the cloud?
I hear a lot about Hadoop these days. Why doesn't 1010data use it?
Aren't you just another kind of data warehouse?
Why do you offer 1010data only as Cloud service?
How can I connect my existing business intelligence tools to 1010data?
Is it true that 1010data is primarily designed for financial data analytics?
How can I be certain that my data is secure?
Is 1010data qualified for international use?
What kind of support plans does 1010data offer?
Does 1010data provide access to other public or private datasets?
How do I get my data onto the Cloud?
Do I have to be a programmer to use 1010data analytics?
What if our database is too large and complicated for 1010data to handle?
Why does 1010data store data in a columnar format?
How large of a database can 1010data handle?
How often does 1010data update its software?
Big Data is the popular term for the enormous amounts of data created by the digital tracking of all types of marketplace activities—including shipping, sales, transactions, and customer activity. Consider this: 90%of the world's data was created in the last two years.
No matter what business you're in, there's no escaping the reach of big data. It's the new raw material of the information economy—a commodity as valuable as coal and iron were to the Industrial Revolution.
The future belongs to the smart and the quick—companies that can transform massive datasets into data equity—real knowledge offering new perspectives that you can turn into critical edge in the emerging economic order.
Still wondering if Big Data is just market hoopla? The marketplace has already taken notice and is gearing up for the new economic order. The data management analytics sector is already worth more than $100 billion and is growing at a rate of 10% a year—twice as fast as the software business as a whole.
1010data is a cloud-based analytical platform for big data. It's also a revolutionary way to mine massive datasets for insights that can transform your business and give you a competitive advantage. There's no faster—or easier–way to identify patterns and trends in large datasets.
1010data is one of those rare products that bootstraps capabilities and transforms the competitive landscape. Shattering the mold of conventional data analysis, 1010data removes all the intermediaries that lay between business users and their data. With 1010data analytics, you enjoy a direct, unobstructed view of all your data—without the burden of upfront investments in infrastructure or database design.
Load your data into the Cloud and start performing queries. It's that simple.
Raw speed and transparency set 1010data apart from the rest. No other Big Data tool gets you to insight faster than 1010data analytics.
Before 1010data, mining large datasets for insight was complex and laborious. Lacking techniques for processing super-large datasets, companies were forced to chop data into smaller subsets that conventional analytic tools could handle. With 1010data, you work directly on your raw data—there are no joins, indexes, or views to set up. Simply load your data table, click a few variables, and you're on your way to insight.
The same software technology that allows lightning-fast analysis in the 1010data Cloud eliminates the need for pre-processing. Your data stays intact and complete, making analysis and modeling more flexible and more rewarding.
A simplified, spreadsheet interface extends analytical and modeling capability to non-technical users, including senior management and business analysts. While your competitors struggle to manage a complicated infrastructure and prepare data for analysis, you're already performing lightning fast data queries and putting fresh insights to work driving strategy and new initiatives.
By lowering the barriers to mining big data, 1010data allows more creative ways to mine data and offers opportunities for monetizing your datasets.
End users can even upload their own external data and join it to massive data sets resident on the Cloud.
Some 1010data customers are using "mashups" of multiple, disparate datasets to reveal hidden synergies. For example, a mashup of retail transactions and daily weather tables can reveal relationships between customer preferences and rainfall.
- and a technique that's beyond of the reach of conventional database analytics - producing and sharing compelling business insights - without the complexity and cost of conventional database solutions.
For example, a retail firm could mine for deep insights into the effects of weather on consumer buying habits by creating mashups of proprietary transactional data and public data from U. S. Weather Bureau.
Many 1010data customers are already reaping the benefits of deep analytics through mashups of their private data with commercial datasets from vendors such as Equifax and Standard & Poors.
The breakthrough technology that 1010data analytics also creates new market opportunities for makes possible a new insight marketplace where data-savvy enterprises can monetize their data by licensing it for use by other firms. Many of our clients drive deep analytics through easily accomplished mash-ups of their data and data that is commercially available from such vendors as Equifax, Standard & Poor's, and dozens of other providers."
Data from different sources can be dynamically joined in one analysis on an ad-hoc basis. End users can even upload their own data and join it to other data already on the system.
cloud-based technologies, tools and techniques that can enable analysts in marketing, risk management, finance. security and other business areas to easily mash up massive data sets and to produce and share compelling business insights, without the complexity, latency and cost of conventional IT systems.
You can't really compare Hadoop to 1010data. Firstly, Hadoop isn't an analytical tool—it's a software framework for running applications that work with large data sets. Hadoop users often spend more time writing programs and managing clusters of commodity servers than creating real value with analytics.
Secondly, Hadoop is designed for batch processing of information. High latency and low throughput make it a poor choice for lightning-fast, interactive analysis of large sets of transactional data you need to compete in a data-intensive marketplace.
If someone is talking about a Hadoop big data solution, chances are they mean Hadoop and another application or service running on top of it—a hybrid solution that typically requires extensive programming before it can start providing value.
1010data offers far more than framework for developing big data solutions—it's a complete analytics tool you can instantly put to work mining insight—without other applications or complicated programs. Nor do you need to expend capital and resources to maintaining database hardware and software.
Not even remotely. 1010data analytics is a complete, big data analysis platform PLUS INTERFACE that adds value right out of the box. A data warehouse is a service that has no value by itself—you have to layer applications and tools on top of the data warehouse before you can start mining for insight—a complex undertaking that requires extensive resources and lead time before you can even start performing analytics.
It was an easy decision to make. Making 1010data a Cloud service gives our customers the best possible performance at an affordable price—both in terms of up-front costs and maintenance.
The advantages of offering data analytics as a Cloud-based service was obvious to us way back in 2001. In fact, we were a cloud service before cloud computing became part of the everyday lexicon.
While the Cloud makes good sense for almost any type of company, it's especially beneficial to 1010data users. We take care of the infrastructure so you can concentrate on mining your data for real insights.
Delivering 1010 data as Cloud service also accelerates time to insight. Liberated from tedious infrastructure tasks and data preparation, you can start running queries as soon as your raw data is loaded into the cloud. Many of our customers are able to go live in a few as three days.
We provide a collection of drivers and utilities that help you integrate the powerful 1010data platform with legacy applications.
| ODBC driver | Supports SQL queries and the integration with popular visualization and reporting applications such as Excel, Access, and Mathematica |
| XML API | Links your in-house applications to 1010data—regardless of programming language |
| Excel add-in | Integrates Excel's presentation features with your 1010data back end |
| TenDo™ | A command-line utility that helps you run queries on the 1010data platform. Include it in shell scripts or Windows batch files to automate executions, or configure it to save results locally or to a 1010data File Transfer Protocol (FTP) account for retrieval later on. |
If you need additional help with integrations, 1010data is ready to offer hands-on assistance and expertise.
Not true. We designed 1010data for fast and transparent analysis of massive, structured and semi-structured data—independent of data origin. While the first customer for 1010data analytics was the New York Stock Exchange, we didn't build the platform specifically for mining financial data.
The versatility of 1010data is reflected in a customer base which includes corporations from many different industries, including consumer packaged goods (CPG), retail, financial services, insurance, and telephony.
When it comes to security, we mean business.
1010data stores your data at the same high-security data centers that host this country's top banks, pharmaceutical firms, and major credit agencies. Our data center are total-security, redundant SAS 60 Type II-certified facilities—you won't find more secure data centers serving the commercial sector.
Each data center features fail-safe redundancy in all critical systems, biometric and card-access entry systems, on-stage armed security personnel, an on-site network operations center, and qualified engineers on duty 24/7, 365 days a year.
Additionally, user access is protected by encrypted, name/password word protection.
Yes. 1010data adheres to the Department of Commerce safe harbor framework in coordination with the European Commission. Safe harbor provides guidance for U.S. organizations on providing adequate protection for personal data from Europe as required by the European Union's Directive on Data Protection.
Your agreement with 1010data includes a flexible support plan designed to meet your company's unique requirements. You can be sure we'll do anything to ensure you'll be delighted with the value 1010data brings to your enterprise.
We also offer consulting expertise to help you manage your data after it's loaded in the Cloud, assist you in the development of custom queries and reports, and connect other types of business intelligence tools to 1010data.
Yes. Our data Cloud hosts many public and private datasets available free of charge or by subscription. Accessible datasets include climatological data from the U. S. Weather Bureau, U.S. Census data dating back to 1960, Fannie Mae mortgage data, retail data, credit card records, and many more.
Some of our clients offer access to high-value customer data about their customers.
Easy access to public data on the 1010data Cloud make it easier to reveal hidden synergies in "mash ups" of your corporate dataset wu syndicated database. For example, a mashup of retail transactions and daily weather tables can reveal relationships between customer preferences and rainfall.
We make migrating your data to the Cloud trouble-free and secure. Once an agreement is in place, we'll provide a secure HTTP channel for you to upload data to our FTP server.
If you have years of archived data to load onto the Cloud, we can come to your site and copy it to a large external drive (RAID 0, mirrored) for encrypted, secure transport to the data center for uploading.
Absolutely not. In fact, 1010data requires less technical expertise than any other Big Data tool in the marketplace. Anyone who's comfortable working with Excel pivot tables will find 1010data analytics easy to use.
We have yet to see a database that 1010data can't handle. The simple, elegant design of 1010data allows it easily scale to datasets as large as a trillion rows.
30 years of experience in database design has shown that a columnar design provides faster, easier access to data. Because there are far less columns than rows in large datasets, a columnar database is ideal for operating on raw, structured data.
The column format also allows the storage of more data in memory and provides a basis for a spreadsheet-like interface that makes extra large datasets more accessible.
Columnar databases also sometimes provide what is called "versioning", in which previous values of a datum are kept around, so that the updater can operate on one value while the reader can operate on another.
The single largest database that 1010data currently handles is over 75 billion rows, but the system can easily accommodate a trillion rows without any discernible lag on query speed.
As is the case with most Cloud-based systems, updates are frequent—and non-intrusive. The majority of updates take place "under the hood", improving the performance and scalability of 1010data analytics.