pdf = FPDF() pdf.add_page() pdf.set_font("Arial", size=12) for row in response.primary_results[0]: pdf.cell(200, 10, txt=str(row), ln=True) pdf.output("report.pdf")
In the world of big data, most databases hit a wall. They handle batch processing well, or transactional loads well, but buckle under the pressure of real-time , high-velocity telemetry. scalable data analytics with azure data explorer pdf
pdf = FPDF() pdf.add_page() pdf.set_font("Arial", size=12) for row in response.primary_results[0]: pdf.cell(200, 10, txt=str(row), ln=True) pdf.output("report.pdf")
In the world of big data, most databases hit a wall. They handle batch processing well, or transactional loads well, but buckle under the pressure of real-time , high-velocity telemetry.