According to Pat Patterson, Community Champion at StreamSets, “data drift” is such a problem now that “only about one fifth of a data analyst’s time is actually spent analyzing the data.” The remainder is spent “wrangling it into shape and getting it from where it is to the actual analysis platform.” Speaking at the Enterprise […]
Important Features of Business Intelligence Tools
What are business intelligence (BI) tools? Which tool is best for your organization? Which criteria should be kept in mind while comparing the different tools? Business intelligence tools transform unprocessed data into meaningful and actionable insight. BI tools analyze the data and convert them into a presentable and analytical data set in the form of […]
A Look Inside the Modern Analytics Stack
Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […]
ETL vs. Data Preparation
Extract, Transform, and Load (ETL) technologies, managed exclusively by IT, have until recently been the primary tool used to combine data from multiple sources and thus provide the ability to drive important business decision making for organizations. But, with the advent of self-service data preparation, business users and subject matter experts (SMEs) can find those […]
Rethinking Extract Transform Load (ETL) Designs
Click to learn more about author Aditi Raiter. Are you in a work environment where streaming architecture is not yet implemented across all IT systems? Have you ever been in a situation when you had to represent the ETL team by being up late for L3 support only to find out that one of your […]
Is Lakehouse Architecture a Grand Unification in Data Analytics?
Click to learn more about author Arsalan Farooq. I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]
Demystifying Metadata Management
As advanced analytics becomes a prominent driver of revenue in the data-driven age, technologies are needed to help provide a context to data. Business leaders and the global Data Science community have realized that businesses need appropriate technology to comprehend the context of business data. In addition to Data Governance, the Data Management strategy that […]
Becoming a Prized Data Warehouse and Data Integration Tester
Click to learn more about author Wayne Yaddow. Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. They have become a standard necessity for most modern organizations. Each business often uses one or more data […]
What Is Data Integration?
Data integration refers to actions taken in creating consistent, quality, and usable data from one or more diverse data sets. As technologies become more complex and change over time, data variety and volume grow exponentially and the speed of data transfer becomes ever shorter. Data integration has and will continue to become more critical to […]
Data Strategy vs. Data Architecture
“Data Leadership is about understanding the organization’s relationship with data and seeking ways to help the organization meet its goals using whatever tools are available,” said Anthony Algmin, of Algmin Data Leadership in a DATAVERSITY® interview. Within that overall Data Leadership Framework, sit Data Strategy and Data Architecture as individual disciplines. Data Strategy Companies often […]