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Many big corporations and venture capitalists are betting billions of dollars on "the blockchain".This may look like something that only tech savvy bankers and IT professionals can understand, but I would like to break protocol and give you a simpler explanation of "blockchain" than any other explanation I've ever heard before...What is Blockchain?Let's try to understand this with a simple example:Consider a special Google spreadsheet which is shared by every computer in the world and is connected to the internet. Every time a transaction happens, it gets recorded onto a row of this spreadsheet.Anyone with a mobile device or computer can connect via the internet and can access the spreadsheet. Anyone can view and add a transaction to this spreadsheet, but the spreadsheet doesn't allow anyone to edit the information which is already there.This is basically a blockchain.Isn't it simple?The same way that this spreadsheet has "rows", a blockchain has "blocks".A block is a collection of data. And each piece of data is added to the blockchain by connecting one block after another in a chronological way, much in the same way a row of a spreadsheet follows another row.And this series of connected blocks one after another makes it a chain of blocks (i.e. a blockchain).So here's the summary: A blockchain is a global online database which anyone anywhere with an internet connection can use. Because it exists on the internet, it is "decentralized", meaning the blockchain ledger is shared among all computers around the world, not in one central location.And this is why Bitcoin is unique.Bitcoin and BlockchainBlockchain's very first and most famous application is Bitcoin, a peer-to-peer digital currency for the modern, digital age. This was created by Satoshi Nakamoto-Satoshi Nakamoto: 9 Interesting Facts You Need To KnowBitcoin is created and held on Bitcoin's blockchain.Unlike traditional money, you can send Bitcoin money to anyone and anywhere without seeking permission from banks or governments.Bitcoin's blockchain doesn't care whether you are a human or a machine. Thousands of Bitcoin nodes on the blockchain are equally able to verify the legitimacy of payments. That's why there is no need for any third party intermediaries like banks.Bitcoin's recent price rally and its mass adoption speak volumes about the inherent worth of a blockchain concept.How does a blockchain work and why can't it be hacked?So now that we know what a blockchain is, let's try to decode how a blockchain works. I will be using the example of Bitcoin, as most people are familiar with it.In Bitcoin's blockchain, there exist 1 MB blocks which contain peer-to-peer transactions. These blocks are added every 10 minutes after they are verified by miners with the help of an inbuilt consensus mechanism. Each entry in these blocks is secured by cryptographic math which makes it irreversible.These blocks have unique features like:They are time stamped.Each block has a date and time attached to it.They are distributed and decentralized.Each block has multiple copies placed in several locations.They are transparent.Anyone can view what's on the block.They are computationally irreversible.When a transaction happens on the Bitcoin blockchain, it goes into a pool of unconfirmed transactions called the "Mempool". These transactions are then grouped into a block. After this, miners solve a computationally difficult math problem to add this block to Bitcoin's blockchain.In this way, as more blocks keep on getting added to the blockchain, it becomes more computationally difficult to reverse the transaction or to double spend a transaction.And simultaneously, Bitcoin's blockchain is used by millions of users who are running this distributed ledger on their personal computers. It's like having millions of copies of Bitcoin's ledger starting from "the Genesis block", which Satoshi Nakamoto mined.Each of these copies contains the history of blocks since the beginning of the Bitcoin network. This makes it difficult for anyone to corrupt or take down the system.Moreover, each transaction is secured by strong cryptographic math.Anyone who wants to alter the ledger needs to overpower and hack the 51% network to reverse the cryptographic math. This means that a hacker has to hack 51% of the total number of computer nodes which are running this ledger at various locations, and at the same time.Even if one tries to do this, it would require a practically infeasible amount of capital and energy. This is what makes the blockchain unhackable and tamper-proof.Bitcoin is only one example of a blockchain application.But blockchain solutions can be implemented across many industries to solve various issues.Why Blockchain Matters?Blockchain, as explained above, is an immutable and transparent database of records. This immutability and transparency ensures that there is no need for any third person to look after the database.Consider the example of a farmer from Africa. He bought a piece of land, but in a flood he lost his copy of the deed and agreement of the land. Now he has no way of claiming he owns his land. And he had a digital copy of the ownership agreement on a governmental database, but that too was destroyed during the flood. Now this farmer is at a loss!! He would have avoided these problems had he filed his land deed copy on a blockchain, which would have had multiple copies distributed around the world.This is only one scenario in which a blockchain application would be useful. Apart from this, the technology of blockchain will matter by protecting our identity, verifying ownership, avoiding double spending of money, and even running autonomous vehicles!And it's no exaggeration that blockchain technology will soon be an integral part of our lives.Future of Blockchain TechnologyThe blockchain is the mother of the over $100 billion cryptocurrency market.But the success or failure of Bitcoin or any other cryptocurrency will not decide the blockchain's future.The blockchain is bigger than cryptocurrencies.Some notable shifts in the blockchain ecosystem are as follows:In 2016, the blockchain attracted a $ 1.4 billion investment as reported by PwC.In 2016, the Dubai government declared that it will be shifting all of its supply chain onto blockchain by 2020.Recently, Ethereum established the EEA- Ethereum Enterprise Alliance and IBM is working on Hyperledger.More than fifty of the world's leading financial firms are experimenting with blockchains.Apart from all these, blockchain solutions are being discussed in industries like automobiles, identity management, intellectual property rights, real estate, healthcare, supply chain management, and governance (to name a few).When all is said and done, only time will tell how disruptive this invention of computer science will be.To stay up to date, subscribe to my blog and keep learning about the blockchain revolution!

The data scientists I know have accepted the reality that they need to study new techniques just to keep up. It doesn’t get any easier.Alternatives to Hadoop exist, but Hadoop’s often just the starting point for folks who really want to take advantage of large-scale data integration. Look at what Montefiore Health has done with its Semantic Data Lake, for example:To optimize healthcare based on advanced data analytics and make sure clinicians have the right information available in time to impact patient outcomes, Montefiore has deployed Semantic Data Lake*, a solution that brings together varied and vast amounts of raw data for deeper analysis to flag patients who are at risk or help clinicians identify optimal treatment plans. Drawing on extensive experience in patient care and medical research, this innovative solution enables relevant data to directly inform and impact patient care….Cloudera’s Hadoop* distribution and Franz’s AllegroGraph, a high-performance semantic graph database enabling analytics based on industry standards. The data lake includes data from Montefiore’s own institutions, as well as from sources such as the PharmGKB databank (which correlates genetic variations and drug responses), the National Institute of Health’s Unified Medical Language System (UMLS), and the Online Mendelian Inheritance in Man, a continuously updated catalog of the human genome and genetic disorders.Semantic Data Lake automatically injects metadata into the data layer to create ties between different components of the data. This makes the data “discoverable” via an innovative interrogation mechanism. On top of the basic data framework, Montefiore injects knowledge bases and ontologies—basically the semantics that characterize the data and gives it meaning and a specific context.From Brief: Montefiore Data Analytics Platform Advances Patient CareThe Montefiore method essentially allows a range of big data statistical and machine learning packages to run on top of the base knowledge graph, or semantic data lake. That’s a bona fide way to deliver real-time, rich decision support directly to physicians on their tablets and smartphones.If you want to scale what you’re doing, you really want to take advantage of commodity distributed computing and all the advances that have taken place over the last decade.From A Grand Tour of Big DataOver the course of a decade, web companies have donated IP and millions of lines of code that serves as the foundation for what’s being built on top. In the process, they’ve built an open source culture that is currently driving most big data-related innovation. As you mentioned to me last year, Roberto, a lot of database innovation was the result of people outside the world of databases changing what they thought needed to be fixed, people who really weren’t versed in the database technologies to begin with.Enterprises and the database and analytics systems vendors who serve them have to constantly adjust to the innovation that’s being pushed into the open source big data analytics pipeline. Open source machine learning is becoming the icing on top of that layer cake.Hadoop opened the door to this culture and has been foundational to it, at least to date. Others in this thread will say you can turn your back on open source, non-relational data culture more generally and what’s actually changed a lot in this area, but I would say to them that you’d be hemmed in by the limitations of tabular data models if you do. If all you want to do is analyze data in relational tables, just stick with that, but you’ll be looking for your keys under the lamppost, because that’s where the light is—essentially a provincial approach to data analysis, not true big data.Remember that Hadoop emerged in response to the inability of existing, cost effective data architecture to process unstructured datasets in the high terabyte to petabyte range. If it’s well-structured data or data in smaller datasets, traditional SQL/RDBMS methods will work.Hadoop distributions have become more automated over the years. See Data Science Workbench | Cloudera, for example.If you want to avoid distributed computing entirely, but still want to analyze true big data, join a group that uses a Cray or something like Tidalscale to scale up (supercomputer or reverse virtualization approaches) instead of scaling out (distributed computing).

It is important to keep both of the audiences your resume will speak to in mind as you write it. I’d advise against using heavily formatted templates as a way to highlight your accomplishments and skills because those never get past the first audience. I’m, of course, referring to the Applicant Tracking Systems that are so widely used.It is best to use the reverse chronological format for your resume. This style is the most commonly used style because hiring managers can get the information they need from it within just a few seconds. 6–10 seconds is the amount of time they use to scan a resume before deciding to read it or toss it.Call attention to your accomplishments and achievements by using strong action words and achievement-based phrasing. Here is what I mean by that:(Source: Product Manager Resume: Samples & Template for 2020 | ZipJob)If you’d like to see an example, Zipjob has put together a database of 100+ resumes for every job and every industry … including one for a Product Manager.Take a look and let me know if you need any further help. Good luck!