Technology is moving very fast! If you're stuck in with your java code or messing with some other technologies or so, you probably live in an area of the country where there's only one employer. Most of us have to figure out what we need to learn, just to keep our careers on track.
If you want to stay sought-after and raise your rate, you should be acquainted with the following top 6 technologies.
1. Hadoop. If you learn nothing else this year, make it Hadoop. You need to know what MapReduce is and how to use it. Frankly, by any measure of buzz, popularity, or demand, Hadoop dominates the market in newer technologies. Hadoop ecosystem comprises the most popular tools to process very large set of data. Hadoop brings storage and compute grid at a time. the main feature is Hadoop doesn’t require high end machines.
Common Use cases:
1. Storing and processing of very huge amount of data
2. Health care and life sciences
3. web & e-tailing (search quality fraud detection etc)
4. Telecommunications (customer churn analysis)
2. MongoDB. Though not quite as big a juggernaut as Hadoop, MongoDB is still a big deal,and far easier to learn. Document databases like MongoDB fit well with big AJAX applications or object-oriented back ends. They also scale nicely. There's more than one to try, but you should probably start with Mongo, because it will be best for you from a career perspective -- you all know that,most companies are already familiar with this database.
Common Use cases:
1. Product data management
2.Operational intelligence
3. Content Management
3. Scala. Concurrent programming is changing, and so are the kinds of applications we're asked to build as developers. Not long ago, all low-latency trading applications were written in C or C++; now they're written in Java. The newer techniques in highly concurrent and functional object-oriented programming often debut in Scala, then make it into Java or other popular languages years later. Scala is more than a language and it's an ecosystem of libraries and ideas such as Akka and Play. Whether you like Scala or hate it, you need to understand the ideas it encompasses.
Common Use cases:
1. To create a data collection, processing and analysis system
2. Concurrent & Synchronize processing
4. GIT. If you really don't know about Git and haven't set up a GitHub account, you're late to the effective and well-known developers room. You really should've learned it last year. Of course, if you're still using ClearCase in your current position, you should either be getting serious hazard pay or you should quit and get a job where you don't have to use ClearCase.
Common Use cases:
1. To discard local file modifications
2. To undo local commits
3. So many use cases are there
5. Kafka. Kafka is used for building real-time data pipelines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies.
Common Use cases:
1. Stream Processing
2. Website Activity Tracking
3. Metrics Collection and Monitoring
4. Log Aggregation
6. Spark. It is a general purpose parallel fault tolerant cluster in memory computing system. We can say this as advanced version for Hadoop.
Common Use cases:
1. Streaming Data
2. Machine Learning
3. Fog Computing
Keep learning and follow our youtube channel for our tutorials on Hadoop, Kafka, MongoDB and Spark.
Happy learning..!!
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