Apache industrial

Executive Summary. Based on our data team's research, Michael Knigin is the Apache Industrial Services's CEO. Apache Industrial Services has 1,270 employees, of which 9 are in a leadership position.Work At Apache Industrial Services?Name & TitleBioMichael KniginChief Executive OfficerTysen Lutz CspEVP/CSOTysen Lutz, CSP is a Chief Safety Officer at Apache Industrial Services and is based in Houston Y, Alrededores, Texas. He has worked as Senior Manager at Kiewit Corporation. Tysen attended Central Washington University between 2001 and 2003 and Wenatchee Valley College between 1999 and 2001.Greg BarnesChief Human Resources OfficerGreg Barnes is a Chief Human Resources Officer (CHRO) at Apache Industrial Services and Chief Human Resources Officer at Therma and is based in The Woodlands, Texas. He has worked as Regional HR Manager at GE Oil & Gas; MBA, Class of 2010 at Emory University Goizueta Business School; and National Director of HR at BlueLine Rental. Greg attended University of Houston and Emory University Goizueta Business School.Andrew SawyerBoard MemberDavid BrethertonChief Operations OfficerKimberla LawsonVice President and Corporate ControllerTyson HickeyVice President of OperationsDo you work at Apache Industrial Services?Does leadership effectively guide Apache Industrial Services toward its goals?Apache Industrial Services JobsApache Industrial Services Board MembersName & TitleBioMichael KniginChief Executive OfficerAndrew SawyerBoard MemberApache Industrial Services Executives FAQsWho Is the CEO Of Apache Industrial Services?Related Company ExecutivesWorking At Related CompaniesRelated Company JobsMost In Demand JobsCompaniesTexasHouston, TXApache Industrial ServicesApache Industrial Services ExecutivesZippia gives an in-depth look into the details of Apache Industrial Services, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Apache Industrial Services. The employee data is based on information from people who have self-reported their past or current employments at Apache Industrial Services. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are

HOUSTON, Dec. 15, 2021 /PRNewswire/ -- Apache Industrial Holdings, a leader in the industrial services industry who is recognized for providing exceptional services and keeping people safe, has announced the appointment of executive Samantha Coker as Chief Human Resources Officer (CHRO). Samantha will assume all people operations and all aspects of Human Resources of the company and its subsidiaries; Apache Industrial Services, Apache Industrial United and Skyway Canada moving forward. Samantha Coker, Chief Human Resources Officer of Apache Industrial Holdings Samantha's leadership spans across all areas of Human Resources management. She has a genuine passion for delivering value and results that align with business goals. Samantha has over 16 years of experience in the field services and professional services industries. Prior to joining Apache she was Senior Director of U.S., Trinidad and Mexico People Operations at Worley and Director of Human Resources at Jacobs. "Samantha joins Apache at a pivotal time for the organization. She will be responsible for driving our global human capital strategy across the 5,000 employee enterprise in North America." said Stephen Hillier, Chief Executive Officer of Apache Industrial Holdings. "Her experience and passion for our company's greatest assets, our skilled craft professionals, while driving culture and strategy will be a huge catalyst in how we transform the organization." "It's a great privilege to join Apache. I am incredibly excited to be part of the next evolution of Apache and build on the company culture." said Coker. "I have worked with Stephen in the past and his style of teamwork, collaboration, and transparency while remaining focused on the safety, well-being, and development of our team members is what drives a company's growth and success."Samantha holds a bachelor's degree in Psychology from Louisiana State University and a master's degree in Psychology from Southeastern Louisiana University. Samantha currently serves

Basic descriptive analytics to advanced statistics simulations. Purchase as many licenses as needed, ensuring cost-efficiency for small businesses as well as robustness for large scale enterprises.Customized Predictive Analytics: Tailor predictive analytics to unique needs and perform ad hoc analysis to find the information needed, making better predictions over time.Free Trial: Access all capabilities with a free 14-day trial period.Academic Versions: An academic version is optimized for higher education and research. Program availability varies based on user roles, including students, teachers, researchers and campus-wide administrators. read more... Distributed Computing: Also known as the Hadoop Distributed File System (HDFS), this feature can easily spread computing tasks across multiple nodes, providing faster processing and data redundancy in the event that there’s a critical failure. Hadoop is the industry standard for big data analytics. Fault Tolerance: Data is replicated across nodes, so even in the event of one node failing, the data is left intact and retrievable. Scalability: The app is able to run on less robust hardware or scale up to industrial data processing servers with ease. Integration With Existing Systems: Because Hadoop is so central to so many big data analytics applications, it integrates easily into a number of commercial platforms like Google Analytics and Oracle Big Data SQL or with other Apache software like YARN and MapR. In-Memory Processing: Hadoop, in conjunction with Apache Spark, is able to quickly parse and process large quantities of data by storing it in-memory. Hadoop MapR: MapR is a component of Hadoop that combines a number of features like redundancy, POSIX compliance and more into a single, enterprise grade component that looks like a standard file server. read more... Data Source Connectivity: Enables reading and writing data from a wide spectrum of file formats and sources. These include ASCII text files, spreadsheets and databases like

Energy industry, MQTT is used to collect data from solar panels, which is then transmitted to Kafka for real-time analysis and decision-making. In the retail industry, MQTT is used to collect data from in-store sensors, which is then transmitted to Kafka for analysis to optimize store layout and product placement.Use Case Examples that can Use MQTT and Apache KafkaThe use of IoT devices has become increasingly popular in a variety of industries, from smart cities to healthcare and industrial settings. Many organizations are turning to a combination of MQTT and Kafka protocols to effectively process the large amounts of data generated by these devices in real-time. Let’s explore five use cases demonstrating the power of using MQTT and Kafka for efficient data collection, processing, and analysis. These use cases include, but not limited to:1. Smart City ManagementCombining MQTT and Kafka enables efficient data collection and processing from many IoT devices used in smart cities. Traffic sensors, air quality monitors, and public transportation systems can all be connected using MQTT, while Kafka processes and analyzes the data in real-time. This can improve traffic flow, optimize energy consumption, and better urban planning.2. Industrial IoTIn an industrial setting, sensors and machines generate massive amounts of data that require real-time analysis. MQTT can be used to connect these devices and transmit data to a central processing hub. Kafka can then process and analyze this data, enabling predictive maintenance, anomaly detection, and overall process optimization.3. Healthcare MonitoringRemote patient monitoring through IoT devices can lead to more personalized healthcare and improved patient outcomes. MQTT can connect devices like heart rate monitors, glucose meters, and wearables to transmit data to a central server. Kafka can then process and analyze this data, allowing healthcare providers to monitor patients in real time and make informed decisions about their care.4. Supply Chain OptimizationIoT devices can be used throughout the supply chain to track goods, monitor storage conditions, and ensure timely deliveries. MQTT can connect these devices to transmit data to a central system, while Kafka can process and analyze the data in real time. This can lead to optimized inventory

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