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Data Engineering Drivers in Building Reliable Data Lakes
As we know that now a days businesses are going through unprecedented change and disruption and data is the most important business asset for these organisations which must be audited and protected because it plays a key role in helping organisations make better decisions to get the meaningful insights in their business. While data teams are generally growing, business demand for information and insights continues to surge much faster then Data engineering is the key to unlocking all other data-driven workflows.
To your business growth, you should always focus to increase your customers and always follow a good strategic choice for focusing during challenging times.
The world of data science is evolving so fast that it’s not easy to provide everything you need. To fulfill your need, data and analytics come together to help improve customer satisfaction by enhancing collaboration, facilitating communication. It has the effect of increasing productivity by releasing time for higher-value work to have a longer-term impact for the business.
Data Engineering Drivers — Data engineering professionals are needing to respond to several different drivers. Data engineering has evolved from focusing on just loading and storing with data lakes like Hadoop, to computing and extracting with Spark and Hive, to orchestrating with Oozie, Luigi and Airflow.
Rise of Advanced Analytics — This is the main driver for data engineering for a reliable data lakes which, including methods based on machine learning techniques, have evolved to such a degree that organizations seek to derive far more value from their corporate assets.
Through the use of AI and predictive analytics, any organizations can take big, seemingly random data sets and organize them to uncover hidden patterns and trends. This improves an organization’s access to information throughout an investigation, as traditionally this information is documented on a whiteboard.Widespread Adoption — This is the another data engineering driver. As the digitalization of information has accelerated…
