Big Data analytics

 

Define, explain in detail, then present an actual example via research. Your paper must provide in-depth analysis of all the topics presented:

Read cases and white papers that talk about Big Data analytics. Present the common theme in those case studies
Review the following- https://www.slideshare.net/markogrobelnik/big-datatutorial-grobelnikfortunamladenicsydneyiswc2013
Choose one of the three applications for big data presented.
Provide a case study of how a company has implemented the big data application and from your research suggest areas of improvement or expansion.

 

Sample Solution

Big Data analytics

Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Big data can be defined as data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency. Characteristics of big data include high volume, high velocity and high variety. With big data analytics, you can ultimately fuel better and faster decision-making, modeling and predicting of future outcomes and enhance business intelligence.

syndrome. Which is mostly observed in childrens with hematuria and mild proteinuria41

Lupus Nephritis: It may result from auto-antibodies (lupus erythematous) binding to circulating antigens, forming preformed immune complexes, or autoantibodies binding to antigens deposited from the circulation in the glomerular vessel walls, causing in situ immune complex formation, with initiation of an inflammatory and cytotoxic reaction.40

Goodpasture’s syndrome (GS) is a rare and organ-specific autoimmune disease that is mediated by anti-glomerular basement membrane (anti-GBM) antibodies43 and has pathology characterized by crescentic glomerulonephritis with linear immune fluorescent staining for IgG on the GBM. It typically presents as acute renal failure caused by a rapidly progressive glomerulonephritis. It was first described as a distinctive syndrome by Pasture in 1919. The disease is caused by autoantibodies against the NC1 domain of the alpha 3 chain of type IV collagen. It occurs when the immune system attacks the walls of the lungs and the tiny filtering units in the kidneys. Without early diagnosis and treatment, the disease can lead to bleeding in the lungs, kidney failure, and even death.42

DIABETIC NEPHROPATHY: It is progressive kidney disease caused by damage to the capillaries in the kidneys’ glomeruli (changes in the blood flow in the small vessels of the glomerular capsule).44It is characterized by nephrotic syndrome and diffuse scarring of the glomeruli. It is due to longstanding diabetes mellitus, and is a major reason for dialysis in many developed countries. It is classified as a small blood vessel complication of diabetes and further it leads to chronic kidney disease (CKD).45

HYPERTENSIVE KIDNEY DISEASE: It is a medical condition referring to damage to the kidney due to chronic high blood pressure. It is also known as “Hypertensive Nephropathy (HN).” HN can be divided into two types: A) Benign and B) Malignant. Benign nephrosclerosis is common in individuals over the age of 60, Whereas

Malignant nephrosclerosis is uncommon and affects 1-5% of individuals with high blood pressure, that have diastolic blood pressure passing 130 mm Hg.46The relative risk of developing ESRD is increased by up to 20 times in hypertensive patients.47

In addition, the glomerulus has a unique structure, with both an afferent and an efferent arteriole, which permits modulation of glomerular perfusion and pressure without corresponding systemic blood pressure change.48

When the force of blood flow is high, blood vessels stretch so blood flows more easily. Eventually, this stretching scars and weakens blood vessels throughout the body, including those in the kidneys. If the kidneys’ blood vessels are damaged, they may stop removing wastes and extra fluid from the body. Extra fluid in the blood vessels may then raise blood pressure even more, creating a dangerous cycle. And opposite

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