Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricksKey FeaturesGet well-versed with various data cleaning techniques to reveal key insightsManipulate data of different complexities to shape them into the right form as per your business needsClean, monitor, and validate large data volumes to diagnose problems before moving on to data analysisBook DescriptionGetting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results.
Use the Elastic Stack for search, security, and observability-related use cases while working with large amounts of data on-premise and on the cloudKey FeaturesLearn the core components of the Elastic Stack and how they work togetherBuild search experiences, monitor and observe your environments, and defend your organization from cyber attacksGet to grips with common architecture patterns and best practices for successfully deploying the Elastic StackBook DescriptionThe Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas.
Discover the power of location data to build effective, intelligent data models with Geospatial ecosystemsKey FeaturesManipulate location-based data and create intelligent geospatial data modelsBuild effective location recommendation systems used by popular companies such as UberA hands-on guide to help you consume spatial data and parallelize GIS operations effectivelyBook DescriptionData scientists, who have access to vast data streams, are a bit myopic when it comes to intrinsic and extrinsic location-based data and are missing out on the intelligence it can provide to their models.
Master Oracle SOA Suite 12cDesign, implement, manage, and maintain a highly flexible service-oriented computing infrastructure across your enterprise using the detailed information in this Oracle Press guide.
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandasKey FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook DescriptionPython is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries.
Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discoveryKey FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook DescriptionData analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.
Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniquesKey FeaturesLearn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful SoupBuild scrapers and crawlers to extract relevant information from the webAutomate web scraping operations to bridge the accuracy gap and manage complex business needsBook DescriptionWeb scraping is an essential technique used in many organizations to gather valuable data from web pages.
A one-of-a-kind guide to setting up a malware research lab, using cutting-edge analysis tools, and reporting the findingsAdvanced Malware Analysis is a critical resource for every information security professional's anti-malware arsenal.
Enhance your data analysis and predictive modeling skills using popular Python toolsKey FeaturesCover all fundamental libraries for operation and manipulation of Python for data analysisImplement real-world datasets to perform predictive analytics with PythonAccess modern data analysis techniques and detailed code with scikit-learn and SciPyBook DescriptionPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.
Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-timeKey FeaturesMake a hands-on start in the fields of Big Data, Distributed Technologies and Machine LearningLearn how to design, develop and interpret the results of common Machine Learning algorithmsUncover hidden patterns in your data in order to derive real actionable insights and business valueBook DescriptionEvery person and every organization in the world manages data, whether they realize it or not.
Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your dataKey FeaturesA beginner's guide for performing data analysis loaded with numerous rich, practical examplesAccess to popular Scala libraries such as Breeze, Saddle for efficient data manipulation and exploratory analysisDevelop applications in Scala for real-time analysis and machine learning in Apache SparkBook DescriptionEfficient business decisions with an accurate sense of business data helps in delivering better performance across products and services.
Step-by-step guide to build high performing predictive applications Key FeaturesUse the Python data analytics ecosystem to implement end-to-end predictive analytics projectsExplore advanced predictive modeling algorithms with an emphasis on theory with intuitive explanationsLearn to deploy a predictive model's results as an interactive applicationBook DescriptionPredictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions.
Leverage the power of Hyperledger Fabric to develop Blockchain-based distributed ledgers with ease Key FeaturesWrite your own chaincode/smart contracts using Golang on hyperledger networkBuild and deploy decentralized applications (DApps)Dive into real world blockchain challenges such as integration and scalabilityBook DescriptionBBlockchain and Hyperledger technologiesare hot topics today.
Implement real-world decentralized applications using Python, Vyper, Populus, and EthereumKey FeaturesStay up-to-date with everything you need to know about the blockchain ecosystemImplement smart contracts, wallets, and decentralized applications(DApps) using Python librariesGet deeper insights into storing content in a distributed storage platformBook DescriptionBlockchain is seen as the main technological solution that works as a public ledger for all cryptocurrency transactions.
Master the Cutting-Edge Features of Oracle Database 12cMaintain a scalable, highly available enterprise platform and reduce complexity by leveraging the powerful new tools and cloud enhancements of Oracle Database 12c.
Master Oracle Business Intelligence 11g Reports and DashboardsDeliver meaningful business information to users anytime, anywhere, on any device, using Oracle Business Intelligence 11g.
Best Practices for JD Edwards EnterpriseOne Tuning and OptimizationAchieve peak performance from your ERP platform while minimizing downtime and lowering TCO.
Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models.
The Essential Guide to Scaling Your Business SolutionWritten by Oracle ACE Director and MySQL expert Ronald Bradford, with coauthor Chris Schneider, Effective MySQL: Replication Techniques in Depth describes what is needed to understand and implement MySQL replication to build scalable solutions.
The Essential Guide to Protecting Your Business InformationWritten by Oracle ACE Director and MySQL expert Ronald Bradford, Effective MySQL: Backup and Recovery covers all the options with detailed descriptions and syntax examples to ensure an appropriate backup and recovery plan can be developed.
Utilize R to uncover hidden patterns in your Big Data Key Features[* ] Perform computational analyses on Big Data to generate meaningful results[*] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,[*] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities.
The Essential Guide to SQL Statement OptimizationWritten by Oracle ACE Director and MySQL expert Ronald Bradford, Effective MySQL: Optimizing SQL Statements is filled with detailed explanations and practical examples that can be applied immediately to improve database and application performances.
Implement the Full Spectrum of Oracle E-Business Suite Financial ApplicationsMaintain an integrated, customer-focused financial computing framework that meets global business requirements while lowering total cost of ownership.
This fully revised and updated edition of the bestselling Chief Data Officer's Playbook offers new insights into the role of the CDO and the data environment.
This fully revised and updated edition of the bestselling Chief Data Officer's Playbook offers new insights into the role of the CDO and the data environment.
Master the XML Programming Features in Oracle Database 11gDevelop, debug, and administer data-backed XML applications using the expert instruction and best practices in this Oracle Press guide.
Master the Combined Analysis Tools in Oracle CRM on DemandDrive better decision-making across your enterprise using the reporting and analysis techniques in this Oracle Press guide.
Design and Deliver Oracle CRM On Demand DashboardsCreate custom, interactive dashboards to deliver actionable business intelligence directly to end users with help from this Oracle Press guide.
The only book to cover and compare Oracle's online analytic processing productsWith the acquisition of Hyperion Systems in 2007, Oracle finds itself owning the two most capable OLAP products on the market--Essbase and the OLAP Option to the Oracle Database.
New global standards are the basis for new MES products that have appeared in the last five years in the marketplaceFeatures a comprehensive presentation of available MES technologies
Your One-Stop Guide to Enterprise Reporting with Crystal Reports 2008Transform disconnected corporate data into compelling, interactive business intelligence using all of the powerful tools available in Crystal Reports 2008.
Radio 4's Book of the WeekA Financial Times Book of the YearShortlisted for the 2020 Financial Times / McKinsey Business Book of the YearLonglisted for the National Book Award 'The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might get if you crossed Mad Men with Theranos' David RuncimanThe Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica.
The 2022 World Economic Forum surveyed 1,000 experts and leaders who indicated their risk perception that the earths conditions for humans are a main concern in the next 10 years.
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool.
The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.
This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications.
Master the fundamentals of data science, from probability and statistics to data preprocessing, SQL, and data visualization, with this comprehensive guide.
Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students.
