The Top Data Science Technologies That Will Dominate 2017
Data science & advanced analytics have been revamping the organizations & business processes like mobile & cloud. This industry never slows down at all. The field of data science is dominated by planning ahead, anticipating changes & adopting them before the competitors do. Let’s take a look at which technologies are promising the most exciting growth with a rapidly expanding market.
• The In-memory data fabric offers a low-latency access along with processing of large quantities of data by allocating data across the dynamic random access memory (DRAM), Flash or SSD of distributed computer system.
• Data quality means products that conduct data cleansing with enrichment on high-velocity large data sets, applying parallel operations on distributed databases & data stores.
• Data analytics companies have introduced Data integration which includes the tools for data orchestration across such solutions like MapReduce, Couchbase, Hadoop, MapReduce (EMR), Apache Hive, Apache Pig, Apache Spark & MongoDB.
• A technology called Data Virtualization delivers information via various data sources including big data services like Hadoop and distributed data stores in real-time and near-real time.
• Distributed file stores is basically a huge computer network where data is stored on multiple nodes, in a duplicated fashion, for superfluity & performance.
• A software called Stream Analytics, can filter, enrich, aggregate & analyze a high throughput of data from multiple live data resources & in any type of data format.
• Search & knowledge discovery means having tools & technologies to support self-service extraction of new information & insights from huge repositories of structured & unstructured data which resides in multiple sources like APIs, streams, databases. file systems & other applications & platforms. Several data analytics companies are making use of this awesome technology.
• The NoSQL databases are key-value, document & graph databases.
Take note of these hot new data science technologies which are essential for being competitive among the crowd of big data services provider. Other than these, trends like Applied AI and Advanced Machine Learning are one of the new innovative technologies for years. By 2017, the data analytics companies will witness the real world applications of these across various industries like travel, healthcare & banking. Industries like health care & transportation will embrace the use of data science to examine various rare diseases & help patients in numerous ways possible. This is where the data science as a discipline is guaranteed to grow rapidly. Businesses are basically led by a higher number of data-driven decisions.
The size of the data analytics market is growing at a very fast pace & the opportunities are increasing for the analytics professional. With more organizations relying on data science for better performance, the number of big data services providers has increased significantly. People who are opting for big data services should take note of this boom.
