We have a Big Data Application that processes millions of messages received from mobile devices.  The environement consists of Kafka, Storm, and Cassandra and need help optimizing our Cassandra enviornment for production.  We currently have a 3 node Cassandra cluster running on local SSDs with seperate disks for data and commit logs.  We're looking for someone with hands on experience with production Casaandra operations who can assist us with implementing best practices for the following:

• Cassandra Architecture Review
• Set-up and Configuration
• Nodetool & maintenace best practices
• Monitoring Tools (Currently using OpsCenter)
• Redundancy and Replication
• Capacity Planning
• Provide a run book for support & operations

Continuum is the technology industry's only channel-exclusive provider of fully integrated managed IT services, allowing its Managed Services Provider (MSP) partners to maintain both on premise and cloud-based servers, desktops, mobile devices and other endpoints for small-and-medium-sized businesses. Continuum’s SaaS platform enables MSPs to efficiently backup, monitor, troubleshoot and maintain clients’ IT infrastructure from a single pane of glass, all backed by an industry–leading network operations center (NOC) and Help Desk.

In our industry, the competitive landscape moves and changes rapidly. Currently, our biggest challenge is getting a full understanding of this fast-paced environment, specifically competitor pricing models. We would like to better understand how our competitors package and price their products and services.

For this particular project, we require someone who has a strong background and experience in research, is technically proficient, and has the ability to sift through multiple data sources and parse out relevant information. We are focused on a specific list of competitors; this list will be provided at the start of the project. 

The required deliverable is a completed pricing matrix for each competitor; an Excel template will be provided at the start of the project.  

We are a real estate development firm in search of a algorithm that can assist us in quickly determining whether or not a potential development site fits our project criterion.

Contemplated Data Points for Algorithm (primarily to be used for Senior Living)

(1) An evaluation of area economic and demographic characteristics. An economic evaluation includes an assessment of area employment composition, income growth (particularly among the target market), building statistics and area growth perceptions. The demographic evaluation uses the most recently issued Census information, as well as projections that determine the characteristics of the market.

(2) An analysis of the proposed project’s market penetration into the number of potential age-/income-/asset-qualified seniors within the PMA (primary marketing area). Ideally, the PMA can be set to a 30 mile radius, 10 mile radius, and 5 mile radius.

(3) An analysis of the PMA’s senior residential facilities, including independent living, congregate care and assisted living, and memory care. The survey is used to measure the overall strength of the senior housing market. This is accomplished by evaluation of unit mix, vacancies, rent levels and overall quality of product. The second purpose of the survey is to establish those projects that are most likely directly comparable to the project under analysis.

(4) Information on planned or proposed properties that will impact the marketability of the proposed development. Planned and proposed projects are always in different stages of development. As a result, it is important to establish the likelihood of construction, the timing of the project and its impact on the market and the proposed development.

(5) An analysis of local political dynamics and the potential effect on zoning/rezoning efforts. We would take a look at more general county-wide political structure and the more local political structure in predicting the likelihood and viability in the event that a zoning change is required.

(6) Total crime risk for a Site relative to the national average, state average, and county average.

(7) A metric that might indicate to us the distance from which likely residents might travel in order to live in our facility. This strengthens the demographic understanding considered in an earlier portion

(8) An analysis of the rent-occupied vs. owner occupied market on a 30-mile, 10 mile, and 5 mile radius.

(9) An analysis of the area’s economic drivers, which include, but are not limited to: largest employers, universities, entertainment venues, events, military bases, etc.

10) Employment characteristics of the county and town with which the property is located.

In bid please provide amount of hours which will be required to complete project

This is an RFP for a professional service application: algorithm development and multiple platforms to present resulting data. Our immediate objective is to deliver an algorithm for determining expected case-mix index ("expected CMI") for a given hospital, specialty group, or individual physician. The generated "expected CMI" metric will then be compared to the hospital's, specialty group's or individual physician's "actual CMI," and the difference will be called the case-mix index gap (CMI gap) – mathematically derived by subtracting "actual CMI" from "expected CMI." Calculating actual CMI is straightforward and can easily be derived using the files provided by the Centers for Medicare and Medicaid Services (CMS) each fiscal year: http://cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/FY2015-IPPS-Final-Rule-Home-Page-Items/FY2015-Final-Rule-Tables.html

Please see attached RFP for the following details:

• Business summary
• Project objective 
• Expertise required

Work requirements to be answered:

1.  Model development

2.  Specification of algorithm

3.  Design of algorithm

4. Checking correctness of algorithm  

5. Analysis of algorithm

6. Implementation of algorithm

7. Program testing

8. Preparation of documentation

9. Technologies used for front-end experience

10. Mobile accessibility through Android and iOS devices 

Please submit your responses here on Experfy for further consideration.  Your proposals are due by July 15.

This project entails content development, ranging from developing training content for a number of big data courses that we have envisioned to proposal writing.  The training content will be in the form of PowerPoint presentations and thinking about lab work to go with them.  The work may also require responding to RFPs and writing proposals on an on-going basis. This project is being awarded to an expert with whom we have already been working on Experfy, so no additional bids are needed at this time.

This project entails requirements definition and advisory for an apps platform. The expert will provide product definition and use case analysis, requirements document, design and architecture, prototyping and implementation.

This project is being awarded to an expert with whom we have already been working, so no additional bids are needed at this time.

URGENT: The Big Data Sr. Developer will be responsible for the analysis, design, development, support and maintenance of data models and applications written utilizing Hadoop based frameworks and Pentaho ETL tools. 

Qualifications/Requirements:

• Excellent understanding of big data technologies and common data warehouse concepts, including dimensional modeling, and Kimball or Inmon methodologies.
• Experience with Hadoop technologies (Map/Reduce, Hive, Yarn required, Hbase, Pig a plus)

• Experience with one or more Hadoop distributions (HortonWorks, Cloudera, EMR).
• Understanding of basic administration of a Hadoop cluster in dev environment
• Knowledge of deploying applications in a Hadoop cluster
• Extensive hands-on experience in RDBMS and NO-SQL databases, particularly Cassandra, HBase and object stores (S3 and Swift)
• Experience designing, developing and supporting ETL architecture for data integration and data warehouse.
• Experience with one or more ETL tools (Pentaho PDI, Talend, Oracle Data Integrator, Informatica)

URGENT: Data Integration/ETL Database Developer

 Both individuals and companies are welcome to apply. 

Requirements:

· Motivated, self-starter, ability and strong desire to learn new technologies and methodologies as
  required

· Several years of experience in implementing data integration solutions in either IT or Product
  environment. Preferable to have experience in at least one of the following ETL products, Pentaho,
  Talend, Infomatica and SAP Data Services

· Must have hands-on experience implementing data extraction and transformations from a variety of
  data sources such as SQL, NoSQL and Hadoop-like systems

· Ability to build and optimize data transformations, data quality routines and workflows

· Can write custom transformations in Java to process data in multiple formats (Relational, S3, Swift,
  etc.) to a structure required for the data marts

· Experienced in designing and building logical and physical data models of operational data marts/data
  warehouses based on Analytics data store technology such as Vertica, Oracle or EMC Greenplum.

· Strong data modeling skills, specifically in design and building of Snow-flake and Star schema models
  to achieve manageable, high performance reporting data store

· Ideal to have worked on a large data mart or data warehouse implementation (Terabytes in size)

· Strong SQL skills. Programming experience in a higher language such as Java and PL/SQL is a must

· Familiarity with data management disciplines required to design, build and implement high quality
  data marts

· Demonstrable experience in creating ETL solution that involves data extraction from source systems
  all the way through creating analytics friendly database tables and views

· Familiarity with Big Data Analytics architecture and patterns using highly scalable, parallel processing
  data platforms

· Hadoop Map Reduce and Spark experience are a strong plus

URGENT: Business Intelligence/Analytics Developer

 Requirements:

· Several years of experience using two or more BA and Reporting tools (Crystal, Jasper, Pentaho,
  BIRT, SAP Business Objects) in delivering high quality, fairly complex reports, analytics view
  and dashboards

· Demonstrable experience in all three aspects of Reporting capabilities offered by BA platforms -
  report design, publish and delivery

· Experienced in creating ad-hoc and business reporting capabilities using semantic layer such as   those found in  BobJ Universe and Pentaho Metadata

· Experienced in implementing sophisticated access control and security on both delivered report
  and content level

· Should be able to integrate reporting functionality with web applications written in Java. Experience
  developing web based Java applications.

· Strong in using SQL and analytic functions, and proven ability delivering multi-data source reports

· Must have worked in developing reports and analytical solutions in a platform that supports
  tens of report types and hundreds of end users

· Desirable to have production deployment and administration experience so as to help the  
 BA platform remains highly available, scalable and performance

· Desirable to have experience in using various query/visualization platforms such as Qlikview
  and Tableau

· Past experience in performance optimization of BA platforms is highly desirable

· Ability and strong desire to learn new technologies and methodologies as required

Our company is in the family entertainment industry, with multiple attractions in 10 countries. For this market intelligence project, I would like the expert to build an econometric model to accurately forecast revenues in our businesses.  In this first phase of the project, we will focus on Myrtle Beach, South Carolina.  We may look to other locations if the project results in reliable results.

Variables in the model could include, but are not limited to, the following:

1. Overnight visitation
2. Weather (temperature and precipitation)
3. Gasoline prices
4. Economy 
5. Ticket prices
6. Amount ot capital reinvestment to keep the business current
7. Number of competing attractions in the market
8. Seasonality of the business (how much business occurs between Memorial Day and Labor Day)
9. Whether the business has a prominent storefront or facade
10. Whether the lobby is open to the street.

The model may suggest that some of these are not correlated to revenue, and would therefore be excluded.  You may also have some suggestions on additioanl variables.

Your proposal should include what data you will require from the company, and what data you can source independently.  Please list your sources.  Your proposal should also include your methodology and sources of external data that you would use to carryout this research.