The Answer here, Apache spark is best but why not perfect

1
Why Apache Spark is not perfect heres the answer
2

• Nowadays, the big data has been turned out to be
  one of the most significant assets of any kind
  organization, be it a small-scale organization or
  be it a large-scale enterprise.
• These organizations anticipate that big data
  analytics provides valuable insights which assist
  in making faster and better business-related
  decisions, reducing operating costs, identifying
  customer requirements, and delivering delightful
  customer experience.

3
APACHE SPARKS JOURNEY INTO BIG DATA

• Amid significant technological transformations,
  Apache Spark recently completed 10 years with
  tremendous success and has turned out to be one
  of the most essential components of several
  renowned projects across the globe.
• As per the latest report, the total value of
  Databrickss analytics platform that originally
  developed Apache Spark is approx. 2.75 billion.
• Though the fact that the Apache Spark is
  considered to be the future of large data
  analytics, there are many drawbacks, which
  restrict access to specific situations. And they
  are

4
1. Performance indicators with complex nature2.
As noted by Bala Venkatrao3. Good at everything
- Best at nothing4. According to Ashish Thusoo,
CEO5. The occurrence of random bugs
5
PERFORMANCE INDICATORS WITH COMPLEX NATURE

• Although originally developed as a substitute for
  MapReduce, the most advanced Apache Spark offered
  excellent performance over the years through
  processing a massive amount of data with the help
  of Apache Hadoop.

6
AS NOTED BY BALA VENKATRAO

• Vice President (Product) of a California-based
  firm - Unravel Data, the writing of the right
  codes assumes an important role in Apache Spark,
  and for that, one must require in-depth knowledge
  of its working methodology. Moreover, the
  enriched library of Spark facilitates the
  hassle-free coding of work tasks.

7
Today, Apache Spark Service has gained wide
recognition in the field of big data as it offers
some of the advanced features such as integration
with Hadoop, graph processing, and faster
processing.

• Even though most of the industry experts
  acknowledged Apache Spark relevance across the
  sectors, however, some are still in, the dilemma
  regarding its invisible future.

• Under these circumstances, the potential users of
  Apache Spark must be attentive and should
  investigate its pros and cons while deploying it
  into prominent projects.

8
GOOD AT EVERYTHING - BEST AT NOTHING

• Owing to its variety of advanced applications and
  ease of use, Apache Spark regarded as Swiss Army
  Knife of Big Data Analytics. It offers high
  efficient applications with honor to analytics,
  which includes - ETL, real-time processing, SQL
  machine learning, graph engine libraries, APIs
  for multiple programming languages, and a huge
  set of well-defined data connectors.

9
ACCORDING TO ASHISH THUSOO, CEO

• Qubole, Apache Spark well-suits the requirements
  of in-memory computing workloads and witness high
  demand for machine learning, streaming ETL, and
  batch ETL workloads among its prominent users.
  Further, he claims that the upsurge in the user
  base indicates that Apache Spark will certainly
  survive for a long time in the market.

10
THE OCCURRENCE OF RANDOM BUGS

• As soon as the initial concerns associated with
  Apache Sparks scalability got resolved, the
  application is believed to be appropriate for
  deployment and was extensively adopted by various
  industries across the world.
• For instance, the tech-giant IBM is considered to
  be the earliest believer of Apache Spark that has
  incorporated the application into plenty of its
  products. However, it does not mean that Apache
  Spark is a perfect application.

11
IN RECENT YEARSApache Spark witnessed huge
popularity and considered as one of the best big
data solutions for enterprises over the next few
years. However, similar to all other
technological applications built by humans,
Apache Spark is far from being a perfect model.
The breakthrough innovations in the near future
might assist to overcome the Apache Sparks
drawbacks and ensure successful implementation at
the large-scale.
12
AEGIS SOFTWARECANADA

• Offshore software development company
• 2 Robert Speck Parkway, Suite 750
• Mississauga, Ontario,
• Canada - L4Z1H8

info_at_aegissoftwares.com https//www.aegissoftwares
.com
13
THANK YOU