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Apache Spark is an open source processing engine used for faster performance, ease of use and sophisticated analytics. Apache Spark can collectively process huge amount of data present in clusters over multiple nodes. Parallel processing framework of Apache Spark enables users to run large scale data analytics applications. It supports in-memory processing boosting the performance of applications based on big data analytics; however, it can also perform disk-based processing when available system memory is unable to store the data sets.

Spark has evolved as an effective alternative for Hadoop. Its speed of processing is high compared to Hadoop as a result of its bottom-up engineering. Its popularity has increased recently for on-disk sorting, involving large data sets. Easy-to-use application program interface (API) is developed to handle large amount of data. It includes multiple operators for manipulating semi-structured data by revamping all the information and familiar data APIs. At the heart of Apache Spark is a unified engine, it includes support for SQL queries, higher-level libraries, machine learning, streaming data and graph processing. Also, these libraries can be combined seamlessly to create complex workflows. Apache Spark can be deployed in the cloud on the Amazon Elastic Compute Cloud (EC2) service or as a standalone application. Due to its advanced features and functionality, popularity of Apache Spark has increased within the developers, integrators and end-users. It supports multiple languages so that the developers can write applications in Java, Python, Scala or R, further increasing the popularity of Apache Spark. Furthermore, adoption and deployment of Spark has been faster as it came on the back of Hadoop. It integrates seamlessly with Hadoop data sources such as Hadoop distributed file system (HDFS), Hive, HBase and Cassandra and Hadoop ecosystem. Spark has matured and it has become a mainstream solution at a perfect time when Internet of Things (IoT) devices are proliferating in the market. IoT devices are anticipated to drive the Apache Spark market during the coming years as the need for processing large data sets is expected to increase.

Apache Spark supports advanced analytics such as streaming data, machine learning (ML), SQL queries and graph algorithms. These four components also form the core of Apache Spark. Full recovery from faults and failures is possible as the objects are stored in resilient distributed datasets (RDD). Real-time queries are enabled with the help of Apache Spark, increasing the efficiency of the data processing system. Spark clearly differentiates between importing data and distributed computation. With quick and iterative product development it will reduce the time-to-market for new products. Also, prototyping of solutions without the need of submitting the code every time improves the iterative development and feedback process. Decentralization of data center functions such as storage and processing has resulted in a new concept of fog computing. Demand for Apache Spark is projected to rise in the near future as the popularity of fog computing is anticipated to increase.

Major players associated with the Apache Spark market include IBM Corporation, Databricks, MapR Technologies Inc., Qubole, Inc. and Cloudera, Inc.

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The study is a source of reliable data on:

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The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

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  • Reporting and evaluation of recent industry developments
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Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

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The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

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The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

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The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

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10. What will be the barrier to entry for new players in the market?

Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Apache Spark Market