“…You’ll examine: A reference architecture for a production-ready data lake An overview of the data lake technology stack and deployment options Key data lake attributes, including ingestion, storage, processing, and access Why implementing management and governance is crucial for the success of your data lake How to curate data lakes through data governance, acquisition, organization, preparation, and provisioning Methods for providing secure self-service access for users across the enterprise How to build a future-proof data lake tech stack that includes storage, processing, data management, and reference architecture Emerging trends that will shape the future of data lakes…”

“…About the Exam Exam DP-500 focuses on knowledge needed to govern and administer data analytics environments; integrate analytics platforms into existing IT infrastructure; manage the analytics development lifecycle; query data with Azure Synapse Analytics; ingest and transform data with Power BI; design and build tabular models; optimize enterprise-scale data models; explore data with Azure Synapse Analytics; and visualize data with Power BI. …”

“…Finally, you will learn data ingestion and processing on Azure and data visualization in Microsoft Power BI. …”

“…You will: Connect to a range of external data, from databases to Azure sources Ingest data directly into your spreadsheets, or into PowerPivot data models Cleanse and prepare external data so it can be used inside Excel Refresh data quickly and easily to always have the latest information Transform data into ready-to-use structures that fit the spreadsheet format Execute M language functions for complex data transformations…”

“…Coverage includes the following: • Reviewing the frameworks, products, distributions, use cases, and roles associated with Hadoop • Understanding YARN resource management, HDFS storage, and I/O • Designing data ingestion, movement, and organization for modern enterprise data platforms • Defining SQL engine strategies to meet strict SLAs • Considering security, data isolation, and scheduling for multitenant environments • Deploying Hadoop as a service in the cloud • Reviewing the essential concepts, capabilities, and terminology of virtualization • Applying current best practices, guidelines, and key metrics for Hadoop virtualization • Managing multiple Hadoop frameworks and products as one unified system • Virtualizing master and worker nodes to maximize availability and performance • Installing and configuring Linux for a Hadoop environment…”

“…It inherits strong concepts such as fault-tolerance and elasticity thanks to being an extension of Apache Kafka. Kafka Connect can ingest entire databases, collect metrics, and gather logs from all your application servers into Apache Kafka topics, making the data available for stream processing with low latency. …”

“…It includes information about the following features: Time Travel Query, which you use to store and retrieve time-based data by using capability built into DB2 10, without needing to build your own solution Adaptive compression, an enhanced compression technology that adapts to changing data patterns, yielding extremely high compression ratios Multi-temperature storage, which you may use to optimize storage costs by identifying and managing data based on its “temperature” or access requirements Row and column access control, which offers security access enforcement on your data, at the row or column level, or both Availability enhancements, which provide different DB2 availability features for different enterprise needs; high availability disaster recovery (HADR) multiple-standby databases provide availability and data recovery in one technology, and the IBM DB2 pureScale® Feature provides continuous availability and scalability that is transparent to applications Oracle compatibility, which allows many applications written for Oracle to run on DB2, virtually unchanged Ingest utility, a feature-rich data movement utility that allows queries to run concurrently with minimal impact on data availability This book is for database administrators and application developers who are considering DB2 10 for a new installation, an upgrade from a previous version of DB2, or a migration from a vendor product. …”

“…Many solutions are essentially a combination of information input (ingestion), storage, information processing, and presentation and delivery. …”

“…From working with user interactions and ingesting data from APIs through to creating APIs with Node.js, this book will help you get up and running with JavaScript using hands-on exercises, code snippets, and detailed descriptions of JavaScript implementation and benefits. …”

“…What You'll Learn Discover Spark Streaming application development and best practices Work with the low-level details of discretized streams Optimize production-grade deployments of Spark Streaming via configuration recipes and instrumentation using Graphite, collectd, and Nagios Ingest data from disparate sources including MQTT, Flume, Kafka, Twitter, and a custom HTTP receiver Integrate and couple with HBase, Cassandra, and Redis Take advantage of design patterns for side-effects and maintaining state across the Spark Streaming micro-batch model Implement real-time and scalable ETL using data frames, SparkSQL, Hive, and SparkR Use streaming machine learning, predictive analytics, and recommendations Mesh batch processing with stream processing via the Lambda architecture Who This Book Is For Data scientists, big data experts, BI analysts, and data architects…”

“…Consumers in modern Asia are not simply eating to satisfy personal desires or physiological needs, but they are also conscripted into national and global statemaking projects through acts of ingestion. Eating, then, has become about fortifying both the person and the nation…”

“…What you'll learn and how you can apply it Explore the future of analytics engineering and learn how to prepare yourself and your organization for this transformation Learn the five kinds of work that data teams are taking over because of the democratization of analytics engineering See how to apply new approaches to datasets through the lens of an analytics engineer, from ingestion to exploration to modeling and presentation Simplify data discovery at your organization through testing strategies, code review processes, naming conventions, and more Discover the metrics layer--a new piece of the modern data stack maintained by analytics engineers Explore the landscape of data orchestration tools within the modern data stack and learn how to implement them This recording of a live event is for you because... …”

“…The book will then focus on how you can ingest messages and events required to trigger smart contracts with Service Bus and Event Hubs. …”

“…P2 Field Workflow 720p and 1080i Variable Frame Rates Open Format Timeline Editing P2 Ingest Metadata Management Techniques Editing System Shopping Lists P2 Store and P2 Drive Data Archive Strategies Transferring P2 to Hard drive 1394 Host Mode Output to Apple Color Output for 24p course P2 Content Management Software P2 Log Pro HD Log Native MXF editing with Raylight and more...…”

“…This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources and formats, whether in private cloud storage, relational databases, non-relational databases, or specialized time series databases such as InfluxDB. …”

“…What you will learn Pre-process documents before indexing in ingest pipelines Learn how to model your data in the real world Get to grips with using Elasticsearch for exploratory data analysis Understand how to build analytics and RESTful services Use Kibana, Logstash, and Beats for dashboard applications Get up to speed with Spark and Elasticsearch for real-time analytics Explore the basics of Spring Data Elasticsearch, and understand how to index, search, and query in a Spring application Who this book is for This book is for Elasticsearch developers and data engineers who want to take their basic knowledge of Elasticsearch to the next level and use it to build enterprise-grade distributed search applications. …”

“…What you will learn Understand how to design and build a security operations center Discover the key components of a cloud security architecture Manage and investigate Azure Sentinel incidents Use playbooks to automate incident responses Understand how to set up Azure Monitor Log Analytics and Azure Sentinel Ingest data into Azure Sentinel from the cloud and on-premises devices Perform threat hunting in Azure Sentinel Who this book is for This book is for solution architects and system administrators who are responsible for implementing new solutions in their infrastructure. …”

“…In his day job, he works on data ingest systems for analytics, advertising, and recommendation engines, using Kubernetes in the cloud and on prem. …”

“…Discover patterns for ingesting data from a variety of sources, then learn to harness pre-built services provided by cloud vendors. what's inside Best practices for structured and unstructured data sets Cloud-ready machine learning tools Metadata and real-time analytics Defensive architecture, access, and security about the audience For data professionals familiar with the basics of cloud computing, and Hadoop or Spark. about the author Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. …”

“…The first module introduces you to Scala libraries to ingest, store, manipulate, process, and visualize data. …”