7 Key Aspects to Consider in Your Cloud Data Lake Strategy
In 2010 we witnessed the rise of the data lake – a cost-effective way for organizations to store and manage their raw data. A data lake was a single repository for storing all organizational data, including data generated from all internal transactions and interactions as well as from third-party and public sources. Data lakes promised […]
How Big Data, AI, ML Ruled the Google Cloud Next ’19 Event
Google never disappoints when it comes to building up excitement, does it? With over 122+ announcements, the recently concluded Google Cloud Next ’19 conference in San Francisco was high-voltage, to put it mildly. Over three days, Google served generous servings of exciting product and services news. Quite obviously, AI, Machine Learning, and Big Data were big […]
Let’s Talk About Cloud-Based Data Analytics
Implementation of data analytics to maximize profits have been present conceptually for a long time. In recent times, with the advent of newer technologies to store petabyte-scale data economically, data analytics has become more effective. More data, of course, means more robust algorithms to predict better business outcomes. According to Gartner, 85% of the companies […]
Why Moving Your Data Lake to The Cloud Makes Sense?
That organizations who successfully generate business value from their data will outperform their peers is known to all. Yet, storing a massive pool of structured and unstructured data that is generated from internal transactions, customer interactions, social media as well as third party and publicly available sources has always been a mammoth task. Especially in […]
10 Reasons Why Google BigQuery is an Ideal Choice for Enterprise Data Warehousing Needs
Data is now running the enterprise. No new news there. For a long time, enterprises have been dependent on traditional on-premises data warehouses for collecting and storing data. But is this enough to meet the needs of the enterprise of today? Your data wants to work hard but is your data warehouse letting it? Data […]
BI on Data Lake – Here Is What You Need to Know
Data has evolved over the years. Data has been complex, unstructured, large in volume and in different forms like video, audio, text, jpeg, etc. Real-time processing of these huge volumes of data and new types of data are all part of the evolution. With this evolution of data, everyone wanted to use their databases to […]
How Various Industries are Leveraging the Power of Real-Time Analytics
The good old days of a slow-paced world are long gone. The world is rapidly changing, and so are customer preferences. The product life cycles are shrinking. It will shrink even further, with rapid strides in technological advancements and changing economic conditions. Deloitte has come up with the term that “Uber others or run the […]
Are We Ready For The New Age of AI-Driven HR?
It is an age-old knowledge that a happy employee is a productive employee. For any organization, employees are the first customers. According to research by Aberdeen,companies with engaged employees see over 25% greater annual increase in revenue! Human Resource divisions across organizations of all sizes and verticals, therefore, have employee engagement and employee enablement high […]
Top 5 Practical Applications of IoT in Automotive
ABI Research forecaststhat by 2022, there will be 300 million connected cars on the road. Today, there are 37 million of them so one can guess the tremendous amount of growth that is predicted. In the next five years, approximately $270 billion will be spent in the development and implementation of Automotive IoT solutions. The […]
The Various Ways Banks Can Benefit From Data Analytics
It is being speculated that by 2020, the total assets become $900 trillion, which is roughly 10 times the size of the underlying global economy. This will result in an age of lower interest rates and pressures on margin. Changing demographics also mean that the banks will have to relocate and open branches in […]