Four Big Data and Analytics Trends to Watch Out For in 2022

Four Big Data and Analytics Trends to Watch Out For in 2022-01

With data becoming the new gold of the digital era, IT leaders need to keep up with the latest trends to capitalize on the number of features that big data and analytics are constantly adding to their portfolio.

The acceleration of digital transformation initiatives has resulted in organizations producing a substantial amount of data. As per a 2021 Statista report “Amount of data created, consumed, and stored 2010-2025”, the total amount of data globally consumed was forecasted to surge to 180 zettabytes by 2025, a substantial increase considering its 79 zettabytes consumption in 2021. Another 2021 Big Data and Business Analytics report from Statista showed the forecast of the Big Data market to grow to USD 274.3 billion by 2022 with a five-year CAGR of 13.2%.

These impressive statistics highlight the growth and opportunities that big data and analytics will produce in the coming years. Hence, it is crucial that IT leaders keep track of the latest trends happening in this space. Not only will these enable them to make better strategic decisions but also enhance their operational process control. Here are five big data and analytics trends that IT leaders should watch out for in 2022:

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  • Enterprise Metrics Hub

“In 2022, the “Enterprise Metrics Hub” will become the most popular way of delivering self-serve analytics,”

David Marianisays David Mariani, Co-Founder and CTO, AtScale. He adds, “The concept of a metrics layer has been endorsed by some of the most sophisticated data teams in the world including Linkedin, Airbnb, and Uber. The goal of creating a single source of governed analytics to drive self-service has been around since the early days of Business Intelligence. Modern cloud data platforms make it practical for any organization to build centralized data repositories. Semantic layer strategies that establish a governed view of metrics and analysis dimensions available to business analysts, data scientists, and decision-makers using the tools they prefer can be used to establish an Enterprise Metrics Hub.”

  • The rise of business data scientists


“In 2022, companies will need to embrace the concept of the “business data scientist,” i.e. employees who work with predictive/prescriptive analytics models but whose primary job function lies outside the field of data science and analytics,”says Alicia Frame, Director, Graph Data Science. She adds, “With the workforce currently going through “The Great Resignation,” companies will need to make data science more accessible in order to help fill gaps.”



  • An emphasis on operational data governance

Armon Petrossian
Armon Petrossian

Armon Petrossian, CEO and Co-Founder of Coalesce states that too many organizations suffer from a lack of data lineage (in particular column-level lineage) and operational governance associated with proper data modeling. “Both items have become a result of too much manual coding and poorly architected tools,” he adds.



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  • The Era of Data Transformation 

“As the major cloud players (Snowflake, Databricks, BigQuery, etc.) continue to fight over market share the largest focus will be placed on driving consumption for their existing customers through in-database transformations,” says Armon Petrossian. “Tooling in this space will become a top priority as platform vendors seek to differentiate from each other and drive ‘bookings’ to bolster their valuations,” he adds.

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Vishal Muktewar is a Senior Correspondent at On Dot Media. He reports news that focuses on the latest trends and innovations happening in the B2B industry. An IT engineer by profession, Vishal has worked at Insights Success before joining Ondot. His love for stories has driven him to take up a career in enterprise journalism. He effectively uses his knowledge of technology and flair for writing, for crafting features, articles and interactions for technology enterprise media platforms.