Tipus Títol Author Comments Last updated
Entrada de blog Cloud Database Management - How To Do it Right guest 0 5 years 4 months ago
Entrada de blog The Importance of Big Data Disaster Recovery guest 0 6 years 4 months ago
Entrada de blog Popular Agile Testing Metrics and KPIs and How to Use Them guest 0 6 years 6 months ago
Entrada de blog The Story of Big Data on AWS guest 0 6 years 7 months ago
Entrada de blog What is Big Data Marketing and Does it Help Lead Generation? guest 0 6 years 7 months ago
Entrada de blog Visualizing Big Data and the Connection to Responsive Design guest 0 6 years 8 months ago
Entrada de blog Warehousing Your Data in the Cloud with ETL guest 0 6 years 8 months ago
Entrada de blog Does Big Data Analytics Help Sales Development? guest 0 6 years 9 months ago
Entrada de blog How is Marketing Automation Related to Big Data? guest 0 6 years 9 months ago
Entrada de blog Data Warehouse Security Best Practices guest 0 6 years 9 months ago

Publicaciones

  • Visualizing Big Data and the Connection to Responsive Design

    Responsive imagesData visualization describes techniques and tools that help people understand the meaning of data by representing it in a visual context. It’s often easier to identify important trends, correlations, and patterns in data which is presented visually rather than in its native format. Data visualization is particularly helpful in a Big Data landscape, in which many enterprises try to derive insights from huge data sets, with information obtained from myriad sources, including social media, enterprise software, and web analytics.

    Read on to find out how data visualization is linked to another extremely relevant aspect of technology—responsive web design and responsive images..

  • Warehousing Your Data in the Cloud with ETL

    DWH on the CloudThe process of taking data from different systems and putting it into a data warehouse for business analysis can be a complicated affair. In this article, we look at what is involved and how the cloud has made matters potentially trickier.

    A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources..

  • Does Big Data Analytics Help Sales Development?

    AnalyticsIn a world where organizations of all sizes gather vast quantities of data every single day, there is a real need to get insights from these huge data sets that drive better business decisions. After all, what is the point of collecting data from disparate sources if your business doesn’t get some benefit from all that information?

    However, traditional database software cannot process and analyze such voluminous, complex data sets. This is, in essence, the problem that big data analytics solves, by providing powerful systems that can process and get insights from large data sets..

  • How is Marketing Automation Related to Big Data?

    Big data tagsMarketing automation means using software platforms and tools to conduct marketing strategies more efficiently and effectively by automating repetitive tasks and processes. Typical tasks marketers might automate include segmenting customers based on interactions with a website, and managing email campaigns.

    Marketing automation is a constantly evolving field, and as technology advances further and faster, marketing automation best practices today may not be relevant in five or ten years..

  • Enterprise Cloud Storage - Overview and Solution Comparison

    Both the volume and velocity of data growth in recent years are unprecedented. An IDC report found that digital data more than doubles every two years and will reach 44 zettabytes by 2020, 37 percent of which will be useful when analyzed.

    To get data-driven insights which drive smarter business decisions, enterprises that collect data from many sources must have somewhere to store it for analysis. Businesses also need to store data for other uses, such as..

  • Data Integration: ETL or ELT?

    Data integration: ETL vs ELTModern enterprises gather data from many disparate sources, including social media, websites, customer databases (CRM systems, sales records etc), customer support systems, and HR software.

    Merely collecting lots of data isn't useful in itself—it's the insights you get from such data that can drive more informed business decisions. This post aims to teach you about the bedrock processes required for obtaining insights from your data—ETL and ELT.

    We'll begin by discussing data integration, before moving on to two vital forms of data integration—ETL and ELT. When you're finished reading, you'll fully understand what ETL and ELT are, and which process is better suited to your business in terms of getting actionable insights from different data sources..