science

Smart Data Compression

Smart Data Compression is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Smart Data Compression rather than just read about it. In short: Smart Data Compression is a compressed GIS dataset format developed by Esri. It stores all types of feature data and attribute information together as a core data structure.

Key takeaways

Smart Data Compression belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Smart Data Compression to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Smart Data Compression from memory before moving on to harder problems.

Reference excerpt

Smart Data Compression is a compressed GIS dataset format developed by Esri. It stores all types of feature data and attribute information together as a core data structure. The SDC format was used in Esri products such as ArcGIS StreetMap, ArcIMS Route Server, RouteMAP IMS, ArcGIS Business Analyst, and the ArcMobile SDK. The SDC file format is no longer supported by Esri software since ArcMap 10.2, although later versions of ArcMap can convert SDC data to a geodatabase. ArcGIS Pro does not support the SDC format at all. Compression ratios range from 8x to 20x depending on the data source and structure. SDC data is optimized for rapid map display, accurate routing, and high-performance geocoding. Smart Data Compression is a proprietary format. The FAQ for ESRI's RouteServer IMS notes that additional datasets for that application must be prepared by an ESRI subsidiary at additional cost. The SDC technology was developed by Software Technologies, ESRI partner in Russia. Tele Atlas and NAVTEQ provide North American commercial street datasets in SDC format. This data was prepared using the Data Development Kit Pro (DDK Pro), which ESRI licenses to select vendors. The term Smart Data and idea was coined and created by Dr. James A Rodgers professor at Indiana University of Pennsylvania and James A George, Circa "Smart Data Enterprise Performance Optimization Strategy".

Notes

Worked examples

Example 1 — a first encounter with Smart Data Compression

Start with the simplest possible case. Write down what Smart Data Compression claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Smart Data Compression before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Smart Data Compression ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Smart Data Compression

In research: Smart Data Compression appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Smart Data Compression in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Smart Data Compression is common in secondary-school and first-year university syllabi. It links to neighbouring topics Brand name products stubs, Data compression, so understanding it makes those chapters shorter.
In everyday life: Look for Smart Data Compression outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Smart Data Compression in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Smart Data Compression means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Smart Data Compression out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Smart Data Compression in simple terms?

Smart Data Compression is a compressed GIS dataset format developed by Esri. It stores all types of feature data and attribute information together as a core data structure.

Why does Smart Data Compression matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Smart Data Compression?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Smart Data Compression.