According to the Buttarelli, the ease of gathering and
storing large volumes of data «generates massive amounts of digital advertising revenue, the vast majority of which, and the resulting power, is vested in a small number of companies which dominate the digital field.»
All of them are already facing or will soon face one of the main problems of the information space, i.e. the problem of
storing large volumes of data.
Not exact matches
NERSC also
stores large volumes of LUX
data — measured in trillions
of bytes, or terabytes — and Berkeley Lab has a growing role in the LUX collaboration.
The government vertical is expected to have the
largest market share in the global E-Discovery market in 2016, as this industry essentially
stores and deals with
large volumes of critical citizen and commercial
data residing across different agencies.
HBase also is designed to support
large quantities and
volumes of data, such as the number
of documents we need to
store for our customers.
If grappling with
large volumes of electronically
stored information (ESI) and understanding technology jargon and processes were not enough for the litigator, issues
of data privacy (not to be confused with
data security) are arising.
Many organisations are also turning to NoSQL, HBase and MongoDB databases to
store large volumes of complex
data.
• Implement a new process which dynamically synchronized internal and external
data, reducing
data sync time by 58 % • Identify and immediately address the root cause
of data discrepancy for a
large volume of data • Introduce a novel
data collection method which is 80 % more efficient than the previous one • Analyze, collect and
store data in electronic formats, by following specific company protocols for
data management • Provide analysis
of data and apply analytic procedures to support planning and processes • Handle
data in usual formats and convert
data into usable forms • Use databases to aggregate or de-aggregate
data to ensure that it is understood properly
As a part
of Data Quality effort performed large volume data conversion, data analysis, data cleansing and production report generation for a number of Data Marts and Operational Data Stores within
Data Quality effort performed
large volume data conversion, data analysis, data cleansing and production report generation for a number of Data Marts and Operational Data Stores within
data conversion,
data analysis, data cleansing and production report generation for a number of Data Marts and Operational Data Stores within
data analysis,
data cleansing and production report generation for a number of Data Marts and Operational Data Stores within
data cleansing and production report generation for a number
of Data Marts and Operational Data Stores within
Data Marts and Operational
Data Stores within
Data Stores within CDW.
Professional Experience Coca - Cola Refreshments, Inc. (Chicago, IL) 10/2010 — Present Account Manager II • Manage daily activities and train Account Managers in company policies, procedures, and industry best practices • Provide District Sales Managers with information and constructive feedback on Account Managers performance • Responsible for achieving sales objectives through the advance sale
of product / brands and packages to
large and small
stores • Secure additional display space and execute various promotions for enhances sales opportunities • Display plan - o - grams and ensure their utilization in all C -
store accounts • Successfully sell incremental displays to support ad activity, promotions, and other sales initiatives • Track and report results
of sales and promotional activities ensuring profitable operations • Analyze prior year sales and year to date
data to forecast future retail sales • Generated a 20 % lift in Vitamin Water sales through effective tracking and placement
of coolers and advertising collateral • Present weekly merchandising and sales information to the team to encourage team participation and execution • Recognized as lead account manager for consistently producing the highest sales
volume