Top 5 Deep Learning Frameworks for 2019

  The field of Artificial Intelligence (AI) is growing rapidly, with algorithms evolving to match and even surpass human capabilities. One example of this is Deep Learning (DL), an advanced subfield of machine learning that can continue to evolve on its own, without the need for continued pr……

Data Warehouse vs. Data Mart

What is Data Warehouse? A Data Warehouse collects and manages data from varied sources to provide meaningful business insights. It is a collection of data which is separate from the operational systems and supports the decision making of the company. In Data Warehouse data is stored from a histori……

ETL (Extract-Transform-Load)

ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load. Let us briefly ……

ELT vs. ETL

Many organizations are increasingly turning to ELT(Extract, Load, and Transform) tools to address the volume, variety, and velocity of big data sources, which often strain conventional Extract, Transform and Load (ETL) tools designed for internal, relational data warehousing. ELT vs ETL: What’s t……

Hadoop Best Practices for Data Ingestion

Hadoop Data ingestion is the beginning of your data pipeline in a data lake. It means taking data from various silo databases and files and putting it into Hadoop. Sounds arduous? For many companies, it does turn out to be an intricate task. That is why they take more than a year to ingest all the……