Data Services In Metairie LA At NW Database Services

Data Cleaning Is Important for Big Data Accuracy.

Data cleaning has been an integral part of data management and data analysis throughout history. This trend continues to grow rapidly. Data cleansing or data cleaning in Big Data is difficult because of the growing volume and velocity of data across multiple applications.

Because real-life data is often messy, it can prove costly. This is why data quality management is so important for businesses. Data cleansing is also known as data appending or data scrubbing. It involves correcting or removing incorrect data. Data cleansing is an important step. Bad data can cause poor business decisions. Bad Big Data has caused huge financial losses for some businesses.

What are the Different Types of Big Data?

Because big data comes from different sources, and in different formats, it can be quite diverse. The data structure is important as it will determine how data will be stored, processed, analyzed, and retrieved. This is crucial for making raw data useful.

There are three types big data:

• Structured data
• Unstructured data
• Semi-structured data

Let’s take a closer glance at each of these big data types.

Structured Data

Structured data refers to data that has been stored within databases. These data can be stored and processed in a predetermined way. These data are the easiest type of big information because they don’t require any preparation. You can get structured data from either machines or humans. For example, customers signing up for new accounts will be given their name, address and age. You can think of structured data as the rows and columns you’d see in an Excel spreadsheet. Structured data only represents 20% of all available big data.

Unstructured Data

Structured data is, as its name suggests, the opposite of structured data. It is completely unorganized and doesn’t have a defined format. If it isn’t contextualized, unstructured data could be described as data without meaning. Twitter tweets, for instance, are just words. It doesn’t have any meaning or sentiment (before analysis). This holds true for an image you share or a call you make. These examples of unstructured data need to be placed in a real-world context for them to be meaningful. Because it uses complex algorithms such as those used in machine learning, AI, and natural language processing, unstructured data is more labor-intensive. Around 80% of global big-data is unstructured.

Semi-structured data

Semi-structured information refers to unstructured data with some organizational properties. This makes it more straightforward to process than unstructured information. Semi-structured data can have metadata attached, which is data that describes or gives details about another piece. It may also attach a timestamp to your smartphone and log the device ID. Even though the data is not structured, these additional details provide context for the image. Similar to the previous, if you email someone, even though it isn’t structured data, there are still “clues” such as the IP address or email address that it came from.

Northwest Database Services has 34+ years experience with all types of data services, including mail presorts, NCOA, and data deduplication. If your database systems are not returning poor data, it is definitely time for you to consult with a data services specialist. We have experience with large and small data sets. Often, data requires extensive manipulation to remove corrupt data and restore the database to proper functionality. Call us at (360)841-8168 for a consultation and get the process of data cleaning started as soon as possible.

NW Database Services
404 Insel Rd
Woodland WA 98674
(360)841-8168

Metairie, a census-designated area in Jefferson Parish, Louisiana, United States is located within the New Orleans metropolitan region. Metairie, which has a population estimated at 143,507, is the largest community of Jefferson Parish. It was the fifth-largest CDP (as of 2010). If it were incorporated, it would be Louisiana’s fourth largest city after Shreveport.

History

French settlers were the first Europeans in Metairie to settle it in 1720s. It was then called Tchoupitoulas, but now Metairie Ridge. This natural levee was formed by an old branch of the Mississippi River Bayou Metairie. It flows through the areas of River Ridge, Metairie and Gentilly. It eventually emptied into Mississippi Sound. This ridge was used by the Acolapissa Native Americans as a road. It is the oldest road in New Orleans.

Climate

Metairie’s climate has been described as subtropical humid. It has mild winters that are generally mild and humid summers, similar to New Orleans. Average precipitation is 62.5 inches (1,590 millimeters) annually. The summer months are the most wet, and October is the dryest month. Winter precipitation is usually associated with the passage of a cold front. There are on average 77 days with 90 degree F (32 degC), or higher highs. Additionally, there are 8.1 winter days where the high is not above 50 degrees (10 degC), as well as 8.0 nights with below freezing temperatures annually. It is very rare for temperatures to exceed 20 or 100 degrees F (-6.7 or 37.2 degC), the last times these were on February 5, 1996 and June 26, 2016.

Demographics

According to the 2019 American Community Survey there were 130,427 residents in the census-designated area. Metairie was home to 138,481 residents at the 2010 United States Census. According to the 2020 census, there were 143,507 residents in the CDP. The 2019 census reported a population density of 5,607.7 per square mile and a median age at 40.6.

Transportation

The automobile is the most popular mode of transport within Metairie. JeT (Jefferson Transit) provides mass transit, but unlike other lines of RTA in New Orleans, it doesn’t run on Sundays or holidays. JeT’s coverage area is also limited.

Metairie LA Map