Eat. Sleep. Google Search. Repeat. The world is moving towards this trend. There are no two ways about it. And,why do people use search engines like Google, Bing, or your favorite one? To look at the latest news, to know the directions to the nearest cafe, to know whether Italy has qualified for FIFA 2022,...
By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures – Gartner The Rise of AI in Data Analytics People. Process. Technology. Three core concepts that form the foundation of modern digital transformation including the discipline of data analytics. But...
Introduction A data warehouse is one of the key components of any analytics solution. It is used to store and analyze data from various sources, including other databases and transactional systems in a structured format. The information stored in a data warehouse can be accessed by any business user who has appropriate permissions. Data Warehouse...
Defining a Data Lake “The Data Lake Market was valued at USD 3.74 billion in 2020 and is expected to reach USD 17.60 billion by 2026, at a CAGR of 29.9% over the forecast period 2021 – 2026. Data lakes have become an economical option for many companies rather than an option for data warehousing.”...
Big Data quality issues have adverse consequences for any business, ranging from delegitimizing market campaigns and poor customer relations to negatively impacting decision-making. You might also experience stressful situations due to big data quality issues. However, handling inconsistencies and flaws in the data can enhance data analysis abilities and lead to better decision-making. A minimal...
Recently I was talking to a customer of ours about their digital transformation goals and as is the norm, the discussion came down to data, analytics, data science and you name it – we covered every possible technology in that area. “We have built a data lake. We use this tool for ETL and that...