IT security managers say remote work will be the No.1 cybersecurity problem in 2021. But what big data challenges will businesses face in the next year?
IT security managers say remote work will be the No.1 cybersecurity problem in 2021. But what big data challenges will businesses face in the next year? And how will businesses implement data security changes that solve these challenges?
We analyzed the findings of GetApp's 2020 State of Data Security Report, one of the biggest surveys of its kind. Eighty-three IT security managers took part in the report, which predicts, among other things, the biggest big data security challenges for the next calendar year. How can businesses respond to these challenges and execute big data security changes starting now?
In this article, learn more about ETLT and see an overview of ETL and ELT, advantages and use cases, and more. Merging the Best of ETL and ELT Into a Single ETLT Data Integration Strategy
In this article, we'll discuss how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.
In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.
Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.
A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".