Data is ubiquitous and omnipresent. The world might not be able to feed its children, but there is no dearth of feeds across social media. These data are generated from many sources such as sensors, social media, digital pictures and videos and various others sources. As per Domo Inc., the United States based company specializes in business intelligence tools and data visualization, over 2.5 quintillion bytes of data are generated every day and further, it is estimated that over 1.7 MB of data will be generated per person per second. Abundance of anything is considered to be harmful, well, but not in the case of data. The more data is there, the more scope and opportunity it presents, only if it is processed effectively.
Ever wonder, that how much important these data can be for businesses. Well, immense! These data lakes provide huge monetizing opportunity if mined properly. Managing unstructured data can be a cumbersome task and may lead to additional financial burden on enterprises. But advent of effective data analytic tools has made the huge amount of data processing viable. Various data management trends such as Hadoop adoption, data warehouse modernization, cloud adoption and others have become the things of the past as more robust data management techniques have taken over as General Data Protection Regulation (GDPR) continues to mature. Enterprises are finding ways and means to successfully integrate GDPR with overall business strategy to remain compliant.
As large enterprises seem to leave no stone unturned in exploiting huge data lakes, various new and most potent data management tools are being incorporated. In a bid to get upper hand in data management technology, Microsoft added new data management and analytics services to its public computing platform Azure. The flexible Azure stores the data in all language and has high reliability with an option of pay for what one uses. Azure Data Explorer and Azure Data Lake Storage Gen2 are more effective to manage raw data. Incredibly fast ADX can analyze 1 billion records of streaming data in a second with no change in the state of data. The claim is further strengthen by study conducted by GigaOm which indicates that ADX is more potent than Google LLC’s BigQuery. In fact, ADX is 14th times faster than BigQuery in TPC-H benchmark tests.
The soon to come of 5G technology, Artificial Intelligence, Internet of Things (IoT), machine learning and predictive analysis –if work in tandem, then expect a miracle as data analytics significantly influences the enterprise decision making. Further, enterprises are zeroing in on moving towards decentralized Data Governance from hierarchical data architectures. Data management functions such as storage and analysis will be outsourced by enterprises across the boards owing to high cost of on-premises data centers. Hybrid cloud solutions soon will be the part of enterprise data management tools.